Sydney, Melbourne, Adelaide, Perth — Australia Bengaluru — India

Commonwealth Bank is one of the leading banks in Australia, serving more than 17 million customers. We focus on providing retail and commercial banking services predominantly in Australia.

CommBank has been recognised in the top five banks globally for artificial intelligence (AI) maturity, moving up one place, and maintained #1 position in APAC in the 2024 Evident AI Index.

CommBank continues to invest in AI to enhance customer experience and improve people outcomes. There are many AI roles available across the bank from Distinguished AI scientists and Distinguished Engineers roles to Data Scientists. Positions are open across Australia and India.

Feel free to say hi to our team at the conference.

San Francisco, CA • New York, NY • United States

Figma is growing our team of passionate people on a mission to make design accessible to all. Born on the Web, Figma helps entire product teams brainstorm, design and build better products — from start to finish. Whether it’s consolidating tools, simplifying workflows, or collaborating across teams and time zones, Figma makes the design process faster, more efficient, and fun while keeping everyone on the same page. From great products to long-lasting companies, we believe that nothing great is made alone—come make with us!

We’re looking for AI engineers who have experience building data pipelines to collect high quality data, and evaluation systems to evaluate AI models. You will be collaborating with AI researchers and product engineers closely to improve Figma’s AI features, build new capabilities and advance the state of the art in AI for creativity.

What you’ll do at Figma: Build data pipelines to collect high quality training and evaluation data for developing AI models. Build annotation pipelines to collect ground truth using humans and AI models in the loop. Collaborate closely with AI product engineers to define requirements for AI features. Collaborate closely with AI researchers to identify failure cases, improve data sets, evaluation metrics and hill climb quality of AI models. Work closely with AI infra engineers to build the right infrastructure for AI model development and inference. Explore the boundaries of what is possible with the current technology set and experiment with novel ideas. We'd love to hear from you if you have: Expertise building infrastructure for AI/ML model development in industry. Experience in software development in Python. Experience in languages like C/C++ is nice to have but not required. Expertise working closely with AI researchers on applied AI projects to build high quality models in a fast paced environment. Expertise improving datasets and evaluation metrics for applied ML projects. Experience solving sophisticated problems and comparing alternative solutions, trade-offs, and diverse points of view to determine a path forward Experience communicating and working across functions to drive solutions.

At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

About Tantalus Systems (TSX: GRID)

Tantalus is a technology company dedicated to helping utilities modernize their distribution grids by harnessing the power of data across all their devices and systems deployed throughout the entire distribution grid – from the substation to the EV charger located behind the meter. We offer smart grid solutions across multiple levels: intelligent connected devices, communications networks, data management, enterprise applications and analytics

Come join us if you’re interested in being part of an entrepreneurial team, solving complex technical problems and delivering innovative solutions that will directly impact the electrification of everything and the decarbonization of our society.

** The Opportunity: **

As a Senior Machine Learning Engineer at Tantalus, you will join a dynamic, cross-functional team of innovative engineers and technologists. Our team leverages Tantalus’s comprehensive technology stack, which spans custom silicon, Industrial IoT (IIoT) devices, narrowband and broadband networks, cloud-native platforms, data aggregation, predictive analytics, machine learning, and cutting-edge visualization tools.

In this role, you will be at the forefront of product development, collaborating with teams from our Canadian and U.S. offices and working closely with global partners. You will help shape the future of electric, water, and gas distribution systems by developing advanced analytics tools that extract insights from vast amounts of time-series data collected from our Smart Metering systems.

Your expertise will be crucial in addressing complex problems within utility power distribution, including the integration of distributed energy resources like solar, wind, and electric vehicle charging stations. As a key technical leader, you will guide the development, verification, and delivery of machine learning-based solutions, drawing from a wide range of statistical, supervised, unsupervised, and hybrid models to meet the unique challenges of our industry.

Key Responsibilities: Design, develop, test, and maintain large-scale software systems, ensuring high standards of quality, performance, and security. Lead the development and delivery of new features and advanced capabilities for our grid management platform. Design, build, and deploy scalable, production-ready machine learning and AI-driven solutions. Evaluate algorithm performance, scalability, and suitability for real-world applications. Conduct model development, optimization, verification, and deployment processes. Analyze and decompose complex business requirements to develop clear, executable solutions. Stay at the forefront of industry developments, maintaining a strong knowledge base of the latest in machine learning best practices and evolving frameworks.

Please see the linked posting for the full details.

We are also hiring two other roles in the team, so please check out the other postings if you are interested.

New York

The D. E. Shaw group seeks talented Ph.D. candidates with impressive records of academic and/or professional achievement to join us as quantitative analyst interns. Ph.D. interns can expect to be part of an inclusive environment and interact with fellow interns and employees of similar academic backgrounds while discovering how the analytical skills gained from their graduate programs may relate to the work done at the firm. Throughout the internship, Ph.D. candidates are encouraged to attend our academic speaker series and track academic progress in various areas that may be of interest. This 12-week program will take place in New York and is expected to run from June to August 2025.

What you’ll do day-to-day You’ll spend the summer working on a research project that typically involves exploring a variety of statistical modeling techniques and writing software to analyze financial data. You’ll have a dedicated mentor in one of our quantitative research groups.

Who we’re looking for - We seek individuals with impressive records of academic achievement, including advanced coursework in fields such as math, statistics, physics, engineering, computer science, or other technical and quantitative programs. - Applicants should have notable research productivity in their respective areas of study as well as a track record of creativity in their field(s). - Interest or experience working in a data-driven research environment, including manipulation of data using high-level programming languages such as Python, is preferred. - An exceptional aptitude for abstract reasoning, problem solving, and quantitative thinking, in addition to prior probability or statistics knowledge, is a plus. - We welcome applicants currently enrolled in a four-year undergraduate program or graduate degree program across all fields of study. No previous finance experience is necessary, though candidates should have an interest in learning about quantitative finance. - - Students who apply to this internship are usually approaching their final year of full-time study. - The position offers a monthly base salary of $25,000, overtime pay, a sign-on bonus of $25,000, travel coverage to and from the internship, and choice of furnished summer housing or a $10,000 housing allowance. It also includes a $3,300 stipend for self-study materials and a $4,000 stipend for personal technology equipment. If you have any questions about the compensation, please ask one of our recruiters.

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.

Possible Locations Armenia (Yerevan) Cyprus (Limassol, Paphos) Czech Republic (Prague) Germany (Berlin) Netherlands (Amsterdam) Poland (Warsaw) Serbia (Belgrade) remote (Germany, Serbia, Poland)

Fully hybrid, relocation is provided.

Please mention you attended NeurIPS 2024.

Description At JetBrains, code is our passion. Ever since we started, back in 2000, we have been striving to make the world’s most robust and effective developer tools. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create. We are working on an ambitious new platform that provides AI capabilities to all JetBrains products. Our platform is based on in-house developed models for writing and coding assistance, as well as integration with our strategic partners. We are looking for a Senior ML Engineer who can contribute to the development of our writing assistance tools. You will be involved in crafting and fine-tuning compact and efficient language models to help users write better text, no matter what JetBrains product they are using.

About the role: We're currently looking for research scientists with specialized skills in Autonomous Driving Behavior, including, but not limited to, prediction and planning, going beyond imitation learning, and addressing closed-loop discrepancy issues. You will play a vital role in developing ML models that accurately predict the behavior of surrounding agents and plan and select optimal trajectories for our AVs. 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: Develop novel algorithms in agent behavior prediction and AV planning in interactive scenes Conduct research on combined prediction and planning models  Work on Reinforcement Learning and other approaches to Planning beyond Imitation Learning Develop robust prediction and planning metrics for assessing the behavior systems in closed loop Push forward the cutting-edge AI closed-loop methods for use in the Autonomy Stack for both Planning and Selection Test ML models in simulation to ensure robust performance and generalization Analyze model performance and identify areas for improvement, iterating on design and implementation to enhance quality and reliability 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: Reinforcement Learning (preferable), Behavior Prediction and/or Planning, Statistics, Probability theory Deep knowledge of Autonomous Driving Behavior including Reinforcement Learning modeling: different forms of guidance, sampling optimization, probability estimation Imitation vs Reinforcement Learning specifics Planning vs Selection Prediction vs Planning Open vs Closed loop Closed-loop training Hierarchical Planning Transformer Decoding Experience with simulation environments for autonomous vehicles, such as CARLA, Waymax, or similar platforms 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 (ICRA, CoRL, IROS, ICLR, ICML, NeurIPS, AAAI, IJCAI, CVPR, ICCV, ECCV, etc.) You are passionate about Autonomous Driving!

Hiring Globally - Miami, New York, London, Hong Kong, Singapore and Sydney

Quantitative Researchers play a key role in this mission by developing next-generation models and trading approaches for a range of investment strategies. You’ll get to challenge the impossible in quantitative research by applying sophisticated and complex statistical techniques to financial markets, some of the most complex data sets in the world.

Your Objectives Conceptualize valuation strategies, develop, and continuously improve upon mathematical models and help translate algorithms into code Back test and implement trading models and signals in a live trading environment Use unconventional data sources to drive innovation Conduct research and statistical analysis to build and refine monetization systems for trading signals

Your Skills & Talents Bachelor’s or master’s degree in mathematics, statistics, physics, computer science, or another highly quantitative field Strong knowledge of probability and statistics (e.g., machine learning, time-series analysis, pattern recognition, NLP) Prior experience working in a data driven research environment Experience with translating mathematical models and algorithms into code (Python, R or C++) Independent research experience Ability to manage multiple tasks and thrive in a fast-paced team environment Excellent analytical skills, with strong attention to detail Strong written and verbal communication skills

In accordance with New York City’s Pay Transparency Law, the base salary range for this role is $4,325 to $5,300 per week. Base salary does not include other forms of compensation or benefits.

By applying you will be considered for Citadel and Citadel Securities.

Citadel is one of the world’s leading alternative investment managers. We manage capital on behalf of many of the world’s preeminent private, public and nonprofit institutions. We seek the highest and best use of investor capital in order to deliver market leading results and contribute to broader economic growth. For over 30 years, Citadel has cultivated a culture of learning and collaboration among some of the most talented and accomplished investment professionals, researchers and engineers in the world. Our colleagues are empowered to test their ideas and develop commercial solutions that accelerate their growth and drive real impact. For more information, visit Citadel.com.

Citadel Securities is a leading global market maker that provides institutional and retail investors with the liquidity they need to execute transactions in all market conditions across a broad array of equity and fixed income products. At Citadel Securities, the brightest minds in finance, science and technology use next-generation analytics to solve the market’s most critical challenges, turn big ideas into real-world outcomes and accelerate their careers. For more information, visit CitadelSecurities.com.

Location

Shanghai, Beijing, and Hangzhou

Description Key Responsibilities (including but not limited to): 1. Responsible for image/video analysis, diagnosis, search, synthesis and other aspects of algorithm research, system research and product development, including image detection, image classification, image segmentation, image tracking, video semantic analysis, face recognition and analysis, vehicle and personnel detection and tracking, industrial and medical diagnosis, image/video search, page analysis and automatic synthesis, OCR, etc. 2. Responsible for the exploration of cutting-edge technologies in image/video-related algorithms, including machine learning methods and the application of deep learning in machine vision, as well as joint innovations in computer vision, natural language processing, computer graphics and other related fields.

【Basic Qualifications】 1. Excellent engineering implementation ability, proficient in at least one language such as C/C ++, Java, Python, etc; 2. Familiar with computer vision, machine learning, image/video analysis and processing and other related fields of technology and applications; 3. Strong learning ability, curiosity about new things, and can quickly adapt to the new environment; 4. Good communication skills and team coordination ability; Able to cooperate with others to achieve goals together; 5. Enthusiasm for the field, good at independent thinking and reflection summary.

【Preferred Qualifications】 1. Winning experience in ACM/ICPC, topcoder and other programming competitions; 2. Good scientific research ability, with achievements published in top international conferences and journals such as ICCV, CVPR, NeurIPS, ICML, TPAMI, etc. 3. Good logic and data analysis ability, winners of Kaggle, Ali Tianchi competition and authoritative competition organized by relevant academic conferences are preferred; 4. Have relevant internship or project experience on campus or in Internet companies.

NYC and Boston

Basis Research Institute is a 501(c)(3) nonprofit AI research institute with a vision to build a universal reasoning engine to advance science and solve problems of societal importance.

Research scientist/engineer roles: We’re looking for Research Scientists and Engineers with experience in probabilistic machine learning, causal inference, model discovery, programming languages, compiler design, and related areas. If you’re excited to contribute to Basis’ technical mission, we encourage you to apply.

We are hiring across multiple projects, including the newly launched MARA project, which aims to develop AI systems capable of performing everyday scientific discovery through active experimentation and abstract reasoning.

See all open roles

Postdocs: We have a postdoctoral fellowship program, and are currently searching for a fellow to be jointly advised by Basis and Kevin Ellis of Cornell. Details

Internships: Apply to our summer intern program and work on real-world projects that matter. More details

Burlingame, CA / New York, NY

The Head of ML Research will lead and shape the ML Research group, driving the development of innovative models and methodologies for drug discovery. Reporting to the CEO & Founder, this leadership role involves overseeing teams of ML Research Scientists and Engineers, fostering a culture of collaboration and scientific excellence, and partnering cross-functionally to deliver state-of-the-art machine learning solutions.

This position combines strategic vision, technical leadership, and team mentorship to ensure Genesis Therapeutics remains at the forefront of machine learning for drug discovery.

Responsibilities - Develop and implement the strategic vision for the ML Research group, ensuring alignment with company goals. - Serve as a thought leader in state-of-the art ML research, using the latest approaches in diffusion models, equivariant neural nets and predictive ML Represent Genesis Therapeutics at conferences, workshops, and scientific forums. - Guide the team in designing, implementing, and validating novel machine learning models tailored to drug discovery challenges, including molecular property prediction, generative modeling, and protein-ligand interactions. - Prioritize and balance short-term project deliverables with long-term foundational research initiatives. - Ensure high standards of scientific rigor and reproducibility in research outputs. - Pioneer cutting edge research and original publications in top industry journals and conferences, including NeurIPS, ICML and more. - Partner with cross-disciplinary teams, including computational chemists, software engineers, and drug discovery scientists, to deliver impactful ML-driven solutions. - Collaborate with the Engineering team to deploy ML models into scalable production environments. - Communicate findings and progress effectively to stakeholders at all levels: from interns to board of directors. - Manage budgets, resource allocation, and project timelines for the ML Research group. - Identify and establish external collaborations and partnerships to augment in-house capabilities. - Lead and mentor a high-performing team of ML Research Scientists and ML Research Engineers. - Foster a collaborative, innovative, and growth-oriented team culture. - Manage recruitment, performance evaluations, and career development for team members.

Qualifications - PhD in Computer Science, Machine Learning, Physics, or a related field. - 8+ years of professional experience in machine learning research, with at least 3+ years in a leadership role managing research teams. - Strong track record of developing and applying ML methods in areas such as deep learning, generative models, graph neural networks, or equivariant neural networks. - Proven expertise in leveraging ML techniques for real-world problems. It is not a requirement that the Head of ML - - Research has deep experience in the drug discovery domain but must have demonstrated ability to champion great research and intellectual curiosity to learn quickly. - Experience with state-of-the-art ML frameworks (e.g., PyTorch, TensorFlow, JAX) and distributed computing environments. - Demonstrated ability to lead, mentor, and inspire a diverse team of researchers and engineers. - Exceptional communication and collaboration skills, with experience bridging the gap between research and application. - Strategic thinking with a balance of creativity and execution focus.

Opportunities based in Australia and India

Do work that matters

Our Technology team has a unique role to enable the Group’s purpose, priority and ambition. To do this, our Technology Strategy is the vehicle which will enable this, detailing out what we're doing, when we're doing it and how we're measuring it.

We work hard to ensure that best practice, whether inside CommBank or outside in the broader technology ecosystem, is discovered, sheltered, nurtured, and spread to wherever else it can drive the most benefit for the Group and our customers.

See yourself in our team

CBA’s Distinguished Engineers will collectively influence strategic planning processes at the Group and domain level and provide technical and thought leadership to evolve our tech strategy, guide CBA in shaping our technology strategy and its execution. They will shape the development of the Engineering Practice, the horizontal construct that anchors all engineering teams and engineers across CBA.

Equally as important, the Distinguished Engineers will nurture our community of talented engineers. They will develop and mentor the next up-and-coming engineers and act as talent magnets in the industry. The creation of the Distinguished Engineer role will help CBA become the destination of choice for future engineers and STEM students and help to re-affirm CBA’s tech leadership in the industry.

Our Distinguished Engineers will adopt an enterprise mindset, working across the group to empower the engineering community by advocating for better tools, increased velocity, making sure engineers can do what they do best: engineer (commit) code into production faster, more securely and for the benefit of our customers. They will represent us at leading tech conferences and forums, influencing the tech thinking in Australia and globally.

We’re interested in hearing from experienced senior leaders with:

• Engineering expertise and technical leadership on strategic programs of high complexity and impact at Group and Domain level.
• Leading modernisation of technology functions, planning and leading implementation efforts for major redesign, refactoring, and optimization efforts.
• Participating in and influencing the strategic planning processes, providing advice and mentorship to ELT and Board
• Being visible and recognized in industry by presenting at various forums and showing industry level thought leadership, representing your organisation externally in media, event and education forums
• Driving continued professional, career and technical growth both directly as a teacher and mentor and establishment of robust development practices and culture. Provide context and clarity with regard to “what good looks like”
• Maintaining deep technical skills, including hands on software engineering and operations

Our leadership philosophy

At CommBank, leadership is a privilege, and at its core is a real desire to make a difference in the lives of our people and customers. Leadership is not tied to a title, it is a collection of beliefs and behaviours that energises others to achieve collective and sustainable outcomes.

Our leaders put customer outcomes first, are always learning and pursue our purpose with Care, Courage and Commitment. Please apply if you are keen to explore this leadership opportunity further.

*Apply by email to: Graham.eaton@cba.com.au" For more info you can also reach out to the Commonwealth Bank of Australia team at NeurIPS

McGovern Institute for Brain Research at MIT, Cambridge MA, USA

November 13, 2024

Two Postdoctoral Positions

Elucidating the neurobiological and physiological control principles of brain-body interactions

Jazayeri and Wang Labs, MIT

The Position Two postdoctoral positions are available in the Jazayeri and Wang lab to join a new research project to elucidate the neurobiological, physiological and computational control principles of brain-body interactions.

The Project Wang’s lab has a longstanding research program focused on the neurobiology of brain-body interactions in mice. Jazayeri’s lab has worked extensively on how the brain instantiates internal models for cognition using a combination of experimental work and control theory. This project, which draws from expertise in the two labs aims to bring together experimental work in humans, nonhuman primates, and rodents with theoretical and computational work based in the theory of control systems to develop a deep understanding of the control principles that govern the neurobiology and physiology of bidirectional brain-body interactions. The project is an excellent launching pad for a research career in academia or industry at the bleeding edge of embodied neuroscience.

Your Primary Role This is a team project with two postdocs and possibly additional graduate students. We are looking for highly motivated and talented individuals to work as part of a team with multidisciplinary expertise in neurobiology, body physiology, engineering, and modeling. All team members may be active contributor to all aspects of the science. Here are some example problems you may work on:

· Perform behavioral and/or physiology experiments in humans, monkeys, or rodents. · Analyze large-scale data recorded from experimental subjects. · Develop a control-theoretic model constrained by experimental measurements in the brain and body.

Why Should You Join the Brain-Body Team? · We will be working at the cutting edge of embodied neuroscience. · We may discover the fundamental control principles of brain-body interactions. · Our work may enable exciting applications in medicine. · We will share the data openly and lead the way in collaborative science. · The project will open the door to exciting career trajectories in academia and industry.

Job Requirements Applicants must have a PhD or equivalent degree in Natural Sciences, Computational Neuroscience or Engineering. The applicant is expected to have demonstrated background in at least two of the following fields: systems neuroscience, neurotechnology, computational neuroscience, machine learning. Strong analytical and coding skills are necessary. Prior research on the neurobiology of brain-body interactions is highly valued.

The position is intended for 3 years or more and will be renewed annually. The salary will be determined based on merit. Individuals who have faced unexpected career challenges are highly encouraged to apply.

Applicants should submit a detailed cover letter and CV. We are looking for someone who is passionate about science, understands the importance of the problem we want to tackle, and has the requisite skills to help the team. The cover letter should explain why the project interests you and highlight your relevant expertise. To apply or ask questions, please send an email to both Mehrdad Jazayeri and Fan Wang at MIT (mjaz@mit.edu; fan_wang@mit.edu).

We seek early-career software developers to join our NYC drug discovery team, supporting critical tools and infrastructure for AI and drug discovery in collaboration with chemists, biologists, and computer scientists.

Responsibilities include installing and troubleshooting software, scripting data workflows, maintaining documentation, setting up scientific data pipelines, and integrating third-party software. Proficiency in Python for scientific workflows and experience with computational drug discovery tools or chemical data management are ideal. Linux/UNIX familiarity, C++ knowledge, and a proven ability to enhance computing environments are a plus. We value creativity, problem-solving, communication skills and attention to detail. For more information, visit www.DEShawResearch.com.

Please apply using this link: https://apply.deshawresearch.com/careers/Register?pipelineId=604&source=NeurIPS_1

D. E. Shaw Research is an equal opportunity employer, dedicated to the goal of building a diverse workforce. We embrace diversity along all dimensions, and respect and value the unique qualities, perspectives, and identities of every person in our group. We welcome inquiries from all exceptionally well-qualified applicants, regardless of race, color, nationality, national or ethnic origin, religion or religious belief, caste, gender identity, pregnancy, caregiver status, age, military service eligibility, veteran status, sexual orientation, marital or civil partner status, disability, or status in any other category protected in this regard by law in any jurisdiction in which we operate.

The expected annual base salary for this position is $200,000–$300,000. Our compensation package also includes variable compensation. The applicable annual base salary paid will be determined based on multiple factors. We follow a hybrid work schedule, in which employees work from the office on Tuesday through Thursday, and have the option of working from home on Monday and Friday.

US Based

Our formula for success is to hire exceptional people, encourage their ideas and reward their results.

As an AI Researcher, you will be an integral member of a team of experienced technologists, researchers, quants and traders. You will collaborate closely with two other researchers to solve challenging AI and machine learning problems. Your projects will vary depending on priorities at the start of your employment and could include AI for time series modeling or developing large language models (LLMs). We are looking for individuals eager to learn new AI technologies, create innovative solutions, and choose the right tools to directly impact our business. You will be surrounded by cutting-edge technology, given immediate responsibility, mentored by industry-leading experts, and attend a robust training program to ensure your success at DRW.

Key Responsibilities: Algorithm Development: Creating and testing new AI models and algorithms to solve specific problems or improve existing methods. Data Engineering: Building data pipelines for model training and evaluation, including data collection, cleaning, preprocessing, and labeling, while contributing to better data management practices. Model Testing & Evaluation: Designing and implementing rigorous testing frameworks to assess model performance and identify areas for improvement. Collaboration: Working closely with team members to establish and refine research methodologies, promoting peer reviews, testing, and thorough documentation. Research & Learning: Staying updated on the latest AI techniques and advancements, sharing insights, and actively bringing improvements to research processes.

Required Skills and Qualifications: PhD in artificial intelligence, machine learning, computer science, or a related field graduating between December 2024 and June 2025. Strong foundation in AI concepts. Strong knowledge of machine learning. Solid technical and programming skills (Python, Java, GitHub). Familiarity with machine learning framework (Spark, PyTorch, etc.). Excellent analytical, problem-solving, and communication skills. Deep interest in financial markets.

Preferred Skills: Experience with NLP tasks Knowledge of TensorFlow or PyTorch. Basic understanding of MLOps principles (monitoring, versioning, model serving).

Learning Opportunities: Gain in-depth experience with cutting-edge ML/AI techniques and model deployment. Develop robust machine learning research skills, from data engineering to model evaluation, while contributing to advancements in AI methodologies and practices. Contribute to research projects with potential impact on financial decision-making and other applied domains. Engage in fostering a collaborative research culture, driving improvements in research quality, and interdisciplinary collaboration. 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.

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.