Singapore - Singapore

About Salesforce: We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

Salesforce Research is looking for outstanding research interns. Ideal candidates have a strong background in one or more of the following fields: -Conversational AI -Multimodal Data Intelligence -Multimodal Content Generation -Fundamentals of Machine Learning and AI -Responsible & Trusted AI -Natural Language Processing

Areas of Application: -Software Intelligence -AI for Operations -AI for Availability & Security -Environment & Sustainability -Candidates that have published in top-tier conferences or journals (e.g. NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR,) are preferred.

As a research intern, you will: -Work with a team of research scientists and engineers on a project that ideally leads to a submission to a top-tier conference -Learn about exciting research and applications outside your expertise -Focus on pure research that incorporates into your PhD focus area and contributes to the AI Community -Attend conferences with our researchers to showcase your accepted papers

Requirements: -PhD candidate in a relevant research area -Excellent understanding of deep learning techniques, i.e., CNN, RNN, LSTM, GRU, GAN, attention models, and optimization methods -Experience with one or more deep learning libraries and platforms, e.g. PyTorch, TensorFlow, Caffe, or Chainer -Strong background in machine learning, natural language processing, computer vision, or reinforcement learning -Strong algorithmic problem solving skills -Programming experience in Python, Java, C/C++, Lua, or a similar language

This internship is a minimum of 12 weeks

Accommodations: If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.

Posting Statement: At Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at www.equality.com and explore our company benefits at www.salesforcebenefits.com.

Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce does not accept unsolicited headhunter and agency resumes. Salesforce will not pay any third-party agency or company that does not have a signed agreement with Salesforce.

Salesforce welcomes all.

Palo Alto, CA

TEAM At Woven by Toyota, we work on a diverse set of problems ranging from solving optimization problems in 3D geometric computer vision, to minimizing latency on hardware accelerators, designing novel neural network architectures and applying and advancing the state-of-the-art of machine learning (ML) for perception, prediction, and motion planning. We are looking for doers and creative problem solvers to join us in improving mobility for everyone with self-driving technology. You will be interacting on a daily basis with other software and hardware engineers and researchers to tackle some of the most challenging problems in AI, robotics, and computer vision.

WHO ARE WE LOOKING FOR The Perception team is looking for an experienced Machine Learning engineer to join us in developing a state-of-the-art perception system for autonomous driving. As a Machine Learning engineer in the Perception team you will be responsible to design and develop new Machine Learning models for our online perception system and deploy the model on our next-generation autonomous vehicle platform and ultimately to millions of Toyota production vehicles. We recognize the unique capabilities each team member brings, and encourage applicants to reach out even if they do not match all of the characteristics described below. RESPONSIBILITIES: Perception ML model R&D by prototyping, validating and iterating on existing and new model architectures. Own development of new ML models end-to-end from data strategy, initial development, optimization, production platform validation, and fine tuning based on metrics and on road performance. Lead large, multi-person projects and significantly influence the overall Perception architecture and technical direction. Enable and help other engineers on the team to be more effective through coaching and leading by example when it comes to writing high-quality code, providing high-quality code and design document reviews and delivering rigorous reports from ML experiments. Work in a high-velocity environment and employ agile development practices. Team player and "get things done" mentality Collaborate closely with stakeholders in downstream customer teams to define interfaces and requirements for the Perception stack. Closely collaborate with Perception subteams to develop end-to-end solutions. EXPERIENCE: MS, or higher degree, in CS/CE/EE, or equivalent in industry experience. 5+ years of experience with ML frameworks such as PyTorch, Caffee, Tensorflow Extensive experience with machine learning and classification 5+ years of experience in machine learning workflows: data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, inference optimization. Strong programming skills in Python or C++ Passionate about self driving car technology and its potential for humanity. Experience in writing production level code in a real-time operating system. Strong communication skills and ability to communicate concepts clearly and precisely Nice to Have Hands-on experience with building a perception stack for autonomous systems. Experience in runtime optimization for runtime-critical systems on Linux and UNIX-like real-time operating systems. Experience with CUDA or OpenCL Experience with automotive-grade compute platforms Experience with building safety-critical software architectures.

📐 About this role

We're open to hiring this role near any one of our office hubs (San Francisco, New York, London).

We're looking for a highly skilled and experienced software engineering technical lead manager to lead a team of software engineers. This critical leadership role within our engineering organization has a significant impact on our business success. The ideal candidate will have a strong technical background, exceptional leadership skills, and a proven track record of managing and scaling engineering teams. This role is not for those who want to focus solely on people management, but there's plenty of room to grow within the organization.

This role reports to the CTO.

🦸🏻‍♀️ Your responsibilities:

Leadership and Team Management: Provide strategic direction and mentorship to the engineering team, fostering collaboration, innovation, and continuous improvement while promoting a positive, inclusive work environment and conducting regular performance evaluations.

Technical Excellence: Drive technical excellence and innovation by ensuring high-quality, scalable software solutions, collaborating with cross-functional teams, and fostering a culture of continuous learning and professional development. Stay up-to-date on the latest technical trends and drive innovation through both technical leadership and individual contributions.

Project and Resource Management: Oversee the planning, execution, and delivery of engineering projects, ensuring timely and budgeted completion, effective resource allocation, and clear communication with stakeholders throughout the project lifecycle.

Collaboration and Communication: Build strong relationships with stakeholders and act as a liaison between the engineering team and other departments to ensure effective collaboration, alignment, and clear communication of initiatives and progress.

⭐️ Is this you?

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 8-10 years in software engineering, with a strong technical background.
• Strong software engineering and development background. Expertise in distributed systems, multiple programming languages like Scala, Java, and Python, and various language constructs, frameworks, and technologies.
• 3-5 years of demonstrated experience managing and leading engineering teams, preferably in a distributed setting.
• You are a software engineer and maintain a strong desire to be hands-on with the teams you lead and manage; you code and deliver with your team.
• Passionate about technical leadership, working cross-collaboratively with stakeholders and you enjoy managing small, high-performing teams while in the trenches.
• Track record of successfully guiding the work of the teams you lead and you’ve scaled teams from the ground up and you are engaged in hiring.
• Strong project management skills, with the ability to prioritize and manage multiple projects simultaneously.
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders.
• Strong problem-solving and decision-making abilities, with a focus on delivering results.
• Bonus: You have a background in building developer platforms, generative AI, B2B SaaS, or functional programming.

Location: New York, NY

FRF positions are initially two-year appointments, renewable for a third year contingent on performance. Fellows will be based, and have a principal office or workspace, at the Simons Foundation’s offices in New York City. Fellows may also be eligible for subsidized housing within walking distance of the Flatiron Institute. The start date is between July 2025 and October 2025.

Flatiron Research Fellows are mentored by one or more research scientists. They are also encouraged to carry out an independent research program, to collaborate across the various centers at the institute, to participate in the institute’s vibrant activities such as workshops and seminars, and to mentor students through our summer internship program. They are expected to disseminate their results through scientific publication, conferences, and/or software distribution. Fellows receive a generous travel and research budget, and have access to the institute’s powerful scientific computing resources.

Application deadline: December 15, 2024

New York, NY

Machine learning is a critical pillar of Jane Street's global business, and our ever-changing trading environment serves as a unique, rapid-feedback platform for ML experimentation.

Researchers at Jane Street are responsible for building models, strategies, and systems that price and trade a variety of financial instruments. As a mix of the trading and software engineering roles, this work involves many things: analyzing large datasets, building and testing models, creating new trading strategies, and writing the code that implements them.

We’re looking for people to join the research team with deep ML experience in either an applied or academic context. A good candidate should have a deep understanding of a wide variety of ML techniques, and a passion for tinkering with model architectures, feature transformations, and hyperparameters to generate robust inferences. We also want people who are good communicators, with the ability to quickly absorb the context of a new problem, carefully consider tradeoffs, and recommend possible solutions.

As an ML researcher, your expertise will also shape the firm's future ML developments including hiring new ML researchers, attending conferences, teaching techniques to teammates, and setting firmwide goals.

Samuel Kaski is a Professor of Computer Science at Aalto University and a Professor of Artificial Intelligence at the University of Manchester. He is the Director of the Finnish Center for Artificial Intelligence (FCAI) and ELLIS Unit Helsinki, as well as the Director of the Centre for AI Fundamentals and Research Director of the Pankhurst Institute for Healthcare Technology in Manchester. His research groups develop machine learning principles and methods, often working with researchers from other fields in new and exciting applications (see the Aalto Research Page). His Helsinki-based research group is looking for postdocs to work on AI fundamentals in exciting projects. The work will include collaboration with the Finnish Center for Artificial Intelligence, the Centre for AI Fundamentals at the University of Manchester, the Alan Turing Institute, ELLIS, and researchers from other fields. Click here to find out how to apply. Don't hesitate to contact the group coordinator Fang Wang (fang.wang@aalto.fi) if you have any questions.

You can also find other recruitment calls Prof. Kaski is participating in at the FCAI here, and at the University of Manchester here.

Cambridge-MA (Boston)

We are looking for ML Scientists/Engineers, interns (PhD level) and experts in Molecular Dynamics to join our team at Flagship Pioneering and build the next generation of biotech companies. We are in person at NeurIPS, please contact oviessmann@flagshippioneering.com (Olivia Viessmann) to meet up and chat about roles.

Specific Job Posts:

• Principal Scientist in Molecular Dynamics: Apply here
• Senior ML Scientist/Engineer, Biomolecular Design (All-atom ML modeling): Apply here
• ML Research Scientist Internship, Summer 2025: Apply here
• Senior Computational Scientist, Protein Design: Apply here
• Senior Computational Scientist, Small Molecule Design: Apply here

About Flagship

Flagship Pioneering is a bioplatform innovation company that invents and builds platform companies, each with the potential for multiple products that transform human health or sustainability. Since its launch in 2000, Flagship has originated and fostered more than 100 scientific ventures, resulting in more than $90 billion in aggregate value. Many of the companies Flagship has founded have addressed humanity’s most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture. Flagship has been recognized twice on FORTUNE’s “Change the World” list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies, and has been twice named to Fast Company’s annual list of the World’s Most Innovative Companies. Learn more about Flagship at www.flagshippioneering.com.

Sunnyvale, CA - Hybrid

As a Staff AI Scientist, you will play a pivotal role in advancing LinkedIn’s efforts in cutting-edge AI research and development, focusing on large-scale foundation models and AI innovations. You will specialize in developing, training, and optimizing foundation models, including Large Language Models (LLMs), utilizing state-of-the-art deep learning architectures such as multi-billion parameter transformers and scaling them to serve LinkedIn’s global user base. Your work will involve the design and deployment of high-performance AI systems, leveraging GPUs and other hardware accelerators for large-scale training and inference.

You will collaborate with a world-class team of researchers and engineers to develop and advance the next generation of AI models to push the boundaries of AI at scale, working on complex problems such as distributed training, model parallelism, and system co-design. A successful candidate will be comfortable operating at the intersection of AI research and engineering, with a deep understanding of the latest advancements including but not limited to large model training, post-training techniques for planning and reasoning, fine-tuning strategies, reinforcement learning techniques.

Responsibilities: - Lead and contribute to the research, design, and development of large-scale foundation AI models, focusing on LLMs, transformer architectures, and cutting-edge AI systems. - Publish the findings and innovations as the latest academic and industry research in top notch core AI venues such as ICML, NeurIPS, ICLR, ACL,, patents, and conferences as appropriate. - Stay abreast of the latest academic and industry research, applying relevant findings to improve LinkedIn's AI capabilities. - Innovate in large-scale model training, leveraging GPUs and specialized hardware for optimal performance. - Develop and maintain scalable AI pipelines, optimizing training and inference workflows to handle vast amounts of data. - Mentor junior engineers and contribute to team growth and knowledge sharing. - Collaborate with cross-functional teams of machine learning engineers, infrastructure engineers, and AI researchers to deliver impactful AI innovations across LinkedIn’s products.

Preferred Qualifications: - 6+ years of hands-on experience in large-scale model training, model-system co-design, or large AI systems. - PhD in Computer Science, Machine Learning, or a related technical discipline with a focus on advanced AI/ML techniques - Proven experience in building and optimizing large-scale AI/ML models using frameworks such as PyTorch, PySpark, and CUDA. - Proven track record of publications in top notch core AI venues including but not limited to ICML, NeurIPS, ICLR, ACL. - Expertise in distributed training, model parallelism, and hardware acceleration for AI workloads, including GPUs and TPUs. - Demonstrated ability to solve complex AI challenges in large-scale environments, optimizing models for efficiency and scalability. - Strong proficiency in AI system design, model optimization, and the development of production-quality AI pipelines. - Published work in AI research or significant contributions to industry-leading AI technologies. - Excellent communication skills and a demonstrated sense of ownership over key AI projects.

West Palm Beach, FL, USA

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform.

WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement.

Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.

The Role: We are seeking an exceptionally talented AI Scientist to join the Artificial Intelligence team at WorldQuant. The successful candidate will:

• Conduct research in the Machine Learning field to enhance multiple aspects of the investment pipeline
• Produce trading or predictive signals using innovative Machine Learning algorithms
• Implement signal compression and combination techniques using Machine Learning tools
• Implement state of the art machine learning algorithms
• Design deep learning architectures.
• Develop model frameworks for investment professionals
• Collaborate with portfolio managers and researchers to optimize machine learning algorithms
• Communicate effectively with team members, researchers, and portfolio managers

What You’ll Bring:

• PhD degree in a quantitative or highly analytical field (e.g., Computer Science, Physics, Mathematics, Statistics, or a related field)
• 2+ years of research or work experience applying Machine Learning in innovative ways to complex problems
• Graduated at the top of your respective educational program, with excellent problem solving abilities, insight, and judgment with a strong attention to detail
• Demonstrated ability to program. Strong development skills and proficiency in C++, Python, and PyTorch
• Demonstrated science aptitude via record of creativity and inventions. Ability to run experiments and perform statistical inference
• Experience with software development tools and practices, such as version control (e.g., Git), continuous integration, and testing frameworks
• Advanced practitioner-level knowledge of statistical inference, machine learning, software solvers, and/or mathematical optimization
• Strong communication skills; ability to express complex concepts in simple terms

Dalhousie University Halifax, Nova Scotia

The Faculties of Computer Science and Health at Dalhousie University invite applications for a Canadian Institutes of Health Research Tier 2 Canada Research Chair (CRC) in Artificial Intelligence and Healthy Aging. This position is designated to candidates who self-identify as women or gender equity-seeking persons with a disability. The Tier 2 CRC in Artificial Intelligence and Healthy Aging will be a probationary tenure-track or tenured position at the rank of Assistant or Associate Professor (commensurate with experience) jointly appointed to the Faculties of Computer Science and Health, with an anticipated start date of July 1, 2025. The successful candidate will have demonstrated potential and capacity to develop and lead an internationally recognized research program that develops new machine-learning techniques and looks to apply them to applications in health and healthcare-related fields focusing on healthy aging. The successful applicant’s research program will crosscut the priority areas of ‘AI & Machine Learning’ in Computer Science and ‘Body function and mobility across the health continuum’ in the Faculty of Health and align with ‘AI & Digital Innovation’ and ‘Healthy People, Communities, & Populations’, two of Dalhousie’s six Strategic Research Clusters.

The successful candidate will have a completed PhD in computer science or a related field, have a demonstrated capacity to lead an AI research program, and supervise graduate students in Computer Science. They will propose an innovative and original program of research that seeks to develop artificial intelligence-based interventions for deployment in healthcare especially, but not limited to, a focus on frailty, healthy aging, chronic and complex care, and clinical aspects of physical activity, sedentary behaviours, exercise, mobility, and other health-related and frailty markers. In concert with a senior research Chair in AI and Healthy Aging funded by Shannex Inc. to be recruited concurrently, the CRC will be expected to establish and maintain collaborative relationships with post-secondary institutions, the provincial health authority, and other community partners in the health sector. The partnership of this Chair and the long-term care sector provides a unique opportunity to take a data-driven approach to optimize care delivery, enhance resident experience, and drive sustained improvements in long-term care and for older adults across the continuum. Commensurate with experience, the candidate will have proven capacity or demonstrable potential to obtain external research funding, supervise graduate students, and disseminate knowledge appropriate for the field of study. The successful candidate will engage in the research leadership and promotion of interdisciplinary scholarship to create new opportunities and drive strategic directions at the intersection of computer science and health. The successful candidate will also contribute to complementary areas of research within the University and teach at a reduced course load.

Applications should be made by submission of a cover letter, a detailed curriculum vitae, a three-page summary of the candidate’s research program, a one-page statement of teaching interests and philosophy, the names and contact details of three referees, and the additional self-id form. All applications are to be made through the following link: https://dal.peopleadmin.ca/postings/17948.

About the role: We're currently looking for research scientists with specialized skills in Uncertainty definition, exploration, estimation, and addressing technologies to enhance our autonomous driving systems' ability to understand and handle the uncertainty considerations. In this pivotal role, you'll be instrumental in designing and refining the ML algorithms that enable our trucks to safely navigate and operate in complex, dynamic environments. You will collaborate with a team of experts in AI, robotics, and software engineering to push the boundaries of what's possible in autonomous trucking. This role is based in our Mountain View, CA office

What you'll do: Define the Uncertainty at the different levels of Autonomous Driving Estimate Data-dependent Uncertainty and detect anomalous inputs Estimate ML model-based Uncertainty and detect anomalous outputs Mine and/or generate out-of-distribution examples Mitigate the negative effect of uncertainty propagation Participate in the AI Research team activities targeting internal education and external scientific image Work closely with the Production teams to push your idea into the deployment Propose new ideas and build on top of state-of-the-art knowledge

What we're looking for: You have a Ph.D. in one or more of the following areas: Electrical Engineering, Computer Science, Robotics, Artificial Intelligence, Mathematics, or a related field You have at least 1-3 years of hands-on experience in one or more of the following areas: Autonomous Driving (preferable), Robotics, or Deep Learning in general  You have at least 1-3 years of research experience in one or more of the following areas: Uncertainty Estimation (preferable), Out-of-distribution, Statistics, Probability theory, Robustness theory  Deep knowledge of ML Uncertainty including Experience in estimation, evaluation, and handling of Uncertainty Dealing with data- and ML model-based Uncertainty  Background in mining Anomalies and Out-of-Distribution realistic data Strong foundation in data structures, algorithm design, and complexity analysis Expertise in programming languages and tools critical for high-performance computing in Python/C++ and machine learning including Deep Learning frameworks like TensorFlow/PyTorch  Demonstrated ability to publish research findings in any of the top-tier technical journals and conferences (ICLR, ICML, NeurIPS, AAAI, IJCAI, ICRA, CoRL, CVPR, ICCV, ECCV, etc.) You are passionate about Autonomous Driving!

New York

Bloomberg’s Engineering AI department has 350+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products.

At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets.

Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most.

We are looking for Senior NLP Engineers with a strong expertise and passion for Natural Language Processing research and applications to join our team.

Natural Language Processing (NLP) methods are used to process collections of unstructured and semi-structured texts in order to extract semantic meaning, enhance the quality of the data and derive actionable insights and analytics. Broad areas of applications and interest include: information extraction, entity recognition and disambiguation, topic classification, sentiment analysis, text analytics, summarization, event detection, conversation mining, dialogue systems, semantic parsing, question answering or sentence representations.

You'll have the opportunity to: -Collaborate with colleagues on production systems and write, test, and maintain production quality code -Design, train, experiment, and evaluate NLP models, algorithms and solutions -Demonstrate technical leadership by owning cross-team projects -Stay current with the latest research in NLP and incorporate new findings into our models and methodologies -Represent Bloomberg at scientific and industry conference and in open-source communities -Publish product and research findings in documentation, whitepapers or publications to leading academic venues

You'll need to have: -Practical experience with Natural Language Processing problems, and a familiarity with Machine Learning, Deep Learning and Statistical Modeling techniques -Ph.D. in ML, NLP or a relevant field or MSc in CS, ML, Math, Statistics, Engineering, or related fields. and 2+ years of relevant work experience -Experience with deep learning frameworks such as PyTorch -Proficiency in software engineering -An understanding of Computer Science fundamentals such as data structures and algorithms and a data oriented approach to problem-solving -Excellent communication skills and the ability to collaborate with engineering peers as well as non-engineering stakeholders. -A track record of authoring publications in top conferences and journals is a strong plus

Montreal, QC

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

Our team works on a variety of high-impact machine learning projects across DRW's businesses, and we are looking for a Machine learning engineer to join us. In this role you will build critical systems for our machine learning models and have the chance to make great impact to our business. As a member of our team, you will be surrounded by cutting-edge technology and experienced machine learning, data and software professionals providing you with the best possible environment to succeed. You will always have interesting new projects to apply your skillset while also becoming an expert on certain areas.

Responsibilities: Design and implement scalable and performant systems to serve machine learning models Optimize training and inference performance of deep learning models Create and maintain feature pipelines, feature stores, model stores Monitor production models and setup retraining infrastructure to improve performance Optimize models for deployment on different hardware configurations Build frameworks to promote scalable and reproducible research Drive projects and lead new initiatives Facilitate discussions on code implementation, testing, software architecture best practices Actively engage with others on the team to resolve challenging design and coding issues Collaborate with stakeholders from different departments

Qualifications: A bachelor’s or a master’s degree in computer science, software engineering or equivalent 6+ years of experience building software for machine learning systems Strong understanding of machine learning and deep learning concepts Excellent programming and scripting skills (we predominantly work in Python and Go) Experience with building, validating, deploying, monitoring, and updating production models Experience with infrastructure and tooling for MLOps Strong problem-solving and analytical skills Excellent communication and collaboration skills Experience with machine learning frameworks such as TensorFlow, PyTorch, TensorRT, ONNX Experience with GPU programming using CUDA, OpenCL or similar libraries Experience with one or more of the following is an asset: distributed systems and cloud computing (Kubernetes, Docker, GCP, AWS), multi-threaded programming, hardware/software interaction

What DRW Montreal has to offer you: Recognized as one of Canada’s Best Employers for the past 8 years Committed to continuous learning & development Industry leading benefits package and perks Focused on employee well-being and work-life balance Community initiatives, volunteer program and opportunities for giving back

If you are an experienced software developer who is passionate about machine learning and enjoys working with cutting-edge technologies and solving complex problems, we encourage you to apply for this exciting position. You will have the opportunity to work with a talented and dedicated team to create innovative solutions.

Palo Alto, CA

About Salesforce: We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

Salesforce AI Research advances AI techniques that pave the path for new AI research directions, innovative products and applications with a positive impact on society. Our team of researchers, engineers, product managers, and designers drive AI innovation across pure research, applied research, and new product incubation— all built on our powerful AI platform. We bring companies and customers together using AI that is explainable, transparent, and accountable.

As part of our team you’ll learn unique skills, work with talented people, influence the industry standard for fair and ethical use of artificial intelligence and help us to shape the future of AI.

Check out our website to learn more about the groundbreaking work of the Salesforce AI Research team https://www.salesforceairesearch.com

Salesforce Research is looking for outstanding research interns. Ideal candidates have a strong background in one or more fields: -Natural Language Processing -Computer Vision -Reinforcement Learning -General Machine Learning

Our research focus includes but is not limited to the following: -AI Agents -AI for Software Developers -AI for Operations / Time Series -Responsible & Trusted AI -AI for Knowledge Management -Mobile AI -Multimodal AI -Large Language/Action Modeling -Human-AI Interaction -Automatic Evaluation -Candidates that have published in top-tier conferences or journals (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, CHI) are preferred.

As a research intern, you will: -Work with a team of research scientists and engineers on a project that ideally leads to a submission to a top-tier conference -Learn about exciting research and applications outside your expertise -Focus on pure research that incorporates into your PhD focus area and contributes to the AI Community -Attend conferences with our researchers to showcase your accepted papers

Requirements: -PhD/MS candidate in a relevant research area -Excellent understanding of deep learning techniques, i.e., CNN, RNN, LSTM, GRU, GAN, attention models, and optimization methods -Experience with one or more deep learning libraries and platforms, e.g. PyTorch, TensorFlow, Caffe, or Chainer -Strong background in machine learning, natural language processing, computer vision, or reinforcement learning -Strong algorithmic problem solving skills -Programming experience in Python, Java, C/C++, Lua, or a similar language

This internship is a minimum of 12 weeks.

Accommodations: If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.

Posting Statement: At Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at www.equality.com and explore our company benefits at www.salesforcebenefits.com.

Salesforce welcomes all.

Academic Opportunities in ML and AI

We are recruiting new researchers at all levels to join the Finnish Center for Artificial Intelligence FCAI and the newly established ELLIS Institute Finland, a central node of ELLIS, the pan-European AI network of excellence. Join this top research community in Europe!

Learn more about the calls: https://fcai.fi/winter-calls-2025

Research Fellows, Postdocs and PhD Students

Finnish Center for Artificial Intelligence FCAI and ELLIS Unit Helsinki invite applications for research positions in machine learning. You will join one of the top AI research centers in the Nordics and in Europe, with access to an excellent network of scientists and a broad range of possibilities to work with companies.

Your research can be theoretical, applied, or both. The positions are in the following research areas:

1. Reinforcement learning
2. Probabilistic methods
3. Simulation-based inference
4. Privacy-preserving ML
5. Collaborative AI and human modeling
6. ML for science

Call open: Dec 18, 2024 – Feb 2, 2025 (tentative)

Professors and Principal Investigators

ELLIS Institute Finland will open the first call for new PIs in early 2025.

With the newly-granted major funding, this institute will be the second institute in the ELLIS network. It will act as the hub of an ecosystem of top talents, businesses and investments in Europe, fueling RDI and collaborations, and leveraging Europe’s fastest supercomputer LUMI. At its core, the Institute will foster fundamental machine learning research built on European competence and values.

PIs in the ELLIS Institute will enjoy great academic freedom and will have access to considerable funding for personnel, equipment, and running costs. The positions are faculty roles on the tenure track.

Call open: Early 2025 (dates to be confirmed soon)

Questions? Drop us an email at contact@fcai.fi

Want to meet us at NeurIPS 2024? Check out all the NeurIPS papers from Finland here. Most of our researchers will be at NeurIPS in person!