Redmond, Washington, United States

The Human-Centered and AI Experiences area at Microsoft Research in Redmond, WA is looking for a candidate to advance the state of the art in evaluating and understanding the responsible development of foundational models with a focus on real-world use of Artificial Intelligence.

Our area conducts influential research published at top-tier venues in AI and ML (including NeurIPS, ICML, AAAI, and FAccT) and works within Microsoft’s Responsible AI ecosystem to impact our AI-driven technologies such as Azure, Office, and Bing.

We seek a researcher with a demonstrated ability for technical work and a proven record of influential publications on Artificial Intelligence.

For this role you’d need keen interest in rigorous evaluation, understanding, and innovation on foundational models.

Research areas of particular interest for this team include, but are not limited to:

• Reliability & robustness of AI systems, rigorous evaluation and benchmarking, advances in AI interpretability, bias and fairness, and safety in real-world deployments

Our group takes a holistic approach to studying foundational models that includes a variety of data modalities (language, vision, multi-modal, and structured data) and modern model architectures.

You: - should have proven expertise in many of these aspects or show that they are interested in generalizing their contributions to a variety of modalities and architectures.

• are a team players who are interested in developing next-generation platforms and tools for Machine Learning as well as conducting state-of-the-art research.

• must have finished or be about to finish their PhD.

We are interested in both recent graduates and those with post-PhD academic or industry experience. Priority will be given to candidates with a proven publication record in top-tier conferences, who have demonstrated the ability to develop original research agendas and perform hands-on research, and who work well in a collaborative and dynamic environment.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

Cambridge, Cambridgeshire, United Kingdom

For our Microsoft Research Cambridge, UK, location, we are seeking Principal Researcher (equivalent to Director level/(US) tenured associate professor) candidates in the area of Machine Learning for Gaming and AI. We encourage applications from all candidates who are excited to tackle challenges that arise in applications of machine learning approaches to modern video games, including but not limited to those with backgrounds in deep learning, foundation models, generative AI, machine learning for computer vision or multi-modal models, deep reinforcement learning, or scalable and robust machine learning.

This is an exceptional opportunity for an experienced machine learning researcher and leader in their respective field to expand an established research group to drive ambitious research in collaboration with a diverse, multi-disciplinary team. Key research challenges that we are currently tackling include, but are not limited to, evaluation of multi-modal generative AI models, generalization, predictive (world) models, imitation and reinforcement learning, and scaling to large-scale data and compute.

This posting will be active for 25 days. All candidates applying while the post is active will be considered on an equal basis. For more information about the post, questions can be sent by email to the hiring manager Katja Hofmann at katja.hofmann@microsoft.com.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more, and we’re dedicated to this mission across every aspect of our company. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of the world.

Location: Canada (Toronto, Waterloo, Vancouver, Montreal)

What's the opportunity?

As a Senior Machine Learning Researcher, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We're a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

Your responsibilities include:

• Developing novel AI solutions that facilitate impactful products;
• Conducting original, publishable research by advancing the state-of-the-art in machine learning techniques;
• Working with the development team to transfer research work into production;
• Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;
• Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities.

You’re our ideal candidate if you have:

• A passion for solving open problems using data and algorithms;
• A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience;
• Ability to formulate and drive a research project independently without close supervision;
• Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch;
• Demonstrated ability to deliver machine learning solutions following industry best practices in software engineering is an asset;
• Experience with time series or event forecasting, especially with asynchronous data, is an asset.

Location: Canada (Toronto, Waterloo, Vancouver, Montreal)

What’s the opportunity?

Borealis AI is looking for an enthusiastic Senior Research Engineer who’s excited by the opportunity of being at the forefront of machine learning technology, and working on extremely challenging problems in the financial services industry. As a Senior Research Engineer, you’ll be part of a collaborative team delivering AI projects end to end – everything from scoping and defining the AI problem, to data pre-processing and exploration, to prototyping novel algorithmic solutions, to software implementations of machine learning-based products. At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning, have access to rich and massive datasets, and offers the computational resources to support cutting-edge machine learning R&D.

Your responsibilities include:

• Delivering cutting edge AI solutions as a technical lead throughout the research and product development lifecycle;
• Partnering with Borealis AI’s product and engineering teams to ensure the seamless delivery of these products;
• Collaborating with business stakeholders to define the AI problem and rapidly prototype a solution;
• Engaging in applied research experimentation to build and improve upon algorithms and models used in Borealis AI's products;
• Supporting projects with thorough documentation, design decisions, and technical advisory.

You're our ideal candidate if you have:

• Experience leading cross-functional machine learning research initiatives in product-centric environments;
• Involvement across the research and product development lifecycle, from prototyping to production, and engaging with multiple stakeholders to develop solutions that meet business needs;
• Proficient in Python, data science tooling, and deep learning frameworks;
• Publication record in relevant top tier AI/ML conferences a plus;
• Experience with NLP, LLMs, or financial services domain a plus.

Our roles are hybrid, 2-3 days per week from either our Palo Alto or NYC offices. This link ( https://boards.greenhouse.io/lightningai ) takes you to all of our openings.

Locations London, Amsterdam, Belgrade

We are currently in search of Staff Machine Learning (ML) engineers with exceptional skill sets and a passion for large language models. Your invaluable contributions will play a pivotal role in shaping our advanced LLM stack.

In this position, your responsibility will be to: - Conduct experiments with innovative deep learning methods to improve our models. - Explore techniques to enhance of our pretraining and alignment data.

We expect you to have: - 5+ years experience in a Machine Learning or AI related role - Substantial industrial or academic experience with large language models and generative AI. - A profound understanding of the theoretical foundations of machine learning. - Familiarity with modern deep learning frameworks such as TensorFlow, PyTorch, or JAX. - Proficiency in contemporary software engineering approaches, including CI/CD, version control, and unit testing. - A commitment to maintaining extreme rigor in all job-related activities.

Additional Advantages: - Previous experience working with language models or other similar NLP technologies. - Track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment. - Strong engineering skills, including experience in developing large distributed systems or high-load web services. - Open-source projects that showcase your engineering prowess.

At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

NYC or Cambridge, MA

About Basis Research Institute:

Basis is a 501(c)(3) nonprofit applied research organization dedicated to understanding and building intelligence, and advancing society’s ability to solve intractable problems. Our focus spans the establishment of mathematical principles of reasoning, learning, decision-making, understanding, and explaining, alongside constructing software that embodies these principles.

Open roles

See all open roles and apply here.

• Research Scientist, Machine Learning: Probabilistic machine learning and causal inference.
• Research Scientist, Compilers & Programming Languages: PL/compiler design and implementation.
• Research Engineer, ML & PL: Translate research ideas into correct, robust, and scalable high-quality code.
• Basis Postdoctoral Fellowship: Joint project with Basis and academic PI. Open projects in LLM-Based Reasoning and Planning and Whole-Cell Model-Driven Gene Function Discovery
• Scientific Proposal Writer: Communicate our research to funders, the scientific community, and the public.

We offer competitive salaries, good benefits, and a unique opportunity to work on deep technical problems and see them applied to real-world challenges.

Questions? Inquire: contact@basis.ai