NeurIPS 2025 Career Opportunities

The College of Information Science at the University of Arizona invites applications for multiple tenure track Assistant Professor positions to start in Fall 2026. We are looking for candidates with expertise in artificial intelligence (AI), specifically in AI-driven cybersecurity or cyber operations, or expertise in trustworthiness, explainability, or fairness in AI.

The University of Arizona is a Research 1 institution (very high research spending and doctorate production) and the College of Information Science supports seven undergraduate degrees and five graduate degrees, including the #3 ranked Cybsersecurity MS, the #4 ranked Data Science MS and the #24 ranked Library and Information Science MA.

Qualifications: * Ph.D. in information science, computer science, computer engineering, cybersecurity or a related field, completed before start date * A strong publication record in respected venues in artificial intelligence and a research agenda with promising future research directions * Expertise in AI-driven cybersecurity or cyber operations; OR expertise in trustworthiness, explainability, or fairness in AI

Apply by December 15, 2025

Preference for on-site candidates in San Mateo, but remote possible.

BigHat is hiring a Principal ML Scientist. We've got an awesome high-throughput wetlab that pumps proprietary data into custom ETL and ML Ops infra to power our weekly design-build-train loop. Come solve hard-enough-to-be-fun problems in protein engineering in service of helping patients!

USA - Seattle

Job Overview

At Arm, our research shapes the future of energy-efficient AI. We build the foundations of tomorrow’s intelligent systems - from next-generation processors and accelerators to cutting-edge ML models and tools. As Research Scientist, you’ll be part of a global team pushing the boundaries of what’s possible at the intersection of AI, architecture, and scalable compute.

We’re looking for curious, collaborative researchers who want to turn deep technical insights into real-world impact. Whether you’re advancing algorithms for efficient learning, designing ML-friendly compute architectures, or experimenting with new model deployment paradigms - your work at Arm can influence billions of devices worldwide.

Responsibilities

Your contributions will vary depending on your expertise, but may include: Investigating novel approaches and applications in machine learning Exploring how to make machine learning models and workloads more scalable, portable, and power-efficient Developing proof-of-concepts, prototypes, or simulation environments to test research ideas Collaborating with teams across Arm to integrate research into products and platforms Publishing, presenting, or contributing to academic and industrial research communities Working with partners and ecosystem stakeholders on long-term innovation initiatives

Required Skills and Experience

Strong foundational experience in machine learning, computer science, electrical / computer engineering, or related field. Proficiency in programming languages such as Python, C/C++, or similar Experience designing, training, or analyzing machine learning models or systems Interest in research and long-term innovation beyond immediate product delivery

“Nice to Have” Skills and Experience

Up to date understanding of machine learning trends Contributions to open-source or peer-reviewed publications Exposure to deploying machine learning models on edge, devices, or mobile platforms Familiarity with machine learning model optimization or deployment Familiarity with Arm architecture

The role We seek an experienced AI/ML Specialist Solutions Architect to support AI-focused customers leveraging Nebius services. In this role, you will be a trusted advisor, collaborating with clients to design scalable AI solutions, resolve technical challenges and manage large-scale AI deployments involving hundreds to thousands of GPUs.

You’re welcome to work remotely from the United States or Canada.

Your responsibilities will include: - Designing customer-centric solutions that maximize business value and align with strategic goals. - Building and maintaining long-term relationships to foster trust and ensure customer satisfaction. - Delivering technical presentations, producing whitepapers, creating manuals and hosting webinars for audiences with varying technical expertise. - Collaborating with engineering and product teams to effectively prioritize and relay customer feedback.

We expect you to have: - 7-10 + years of experience with cloud technologies in MLOps engineering, Machine Learning engineering or similar roles. - Strong understanding of ML ecosystems, including models, use cases and tooling. - Proven experience in setting up and optimizing distributed training pipelines across multi-node and multi-GPU environments. - Hands-on knowledge of frameworks like PyTorch or JAX. - Excellent verbal and written communication skills.

It will be an added bonus if you have: - Expertise in deploying inference infrastructure for production workloads. - Ability to transition ML pipelines from POC to scalable production systems.

Preferred tooling: - Programming Languages – Python, Go, Java, C++ - Orchestration – Kubernetes (K8s), Slurm - DevOps Tools – Git, Docker, Helm - Infrastructure as Code (IaC) – Terraform - ML Frameworks and Libraries – PyTorch, TensorFlow, JAX, HuggingFace, Scikit-learn

New York

Description - 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 1 billion proprietary and third-party data points published daily -- across all asset classes -- searchable, discoverable, and actionable.

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 MLOps Engineers with strong expertise and passion for building and maintaining AI systems to join our team.

As a Senior MLOps Engineer you will design and build tools to improve the efficiency of our Model Development Life Cycle (MDLC), automate ML processes, enhance the performance of our systems and more.

Join the AI Group as a Senior MLOps Engineer and you will have the opportunity to: -Architect, build, and diagnose production AI applications and systems -Collaborate with colleagues on production systems and write, test, and maintain production quality code -Define and provide strong SLAs around latency, throughput and resource (memory / disk / network / CPU / GPU) usage -Work closely with AI Platform teams to operationalize continuous model training, inference, and monitoring workflows

We are looking for a Senior MLOps engineer with:

-4+ years of experience working with an object-oriented programming language (Python, Go, etc.) -A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience -An understanding of Computer Science fundamentals such as data structures and algorithms -An honest approach to problem-solving, and ability to collaborate with peers, stakeholders and management -Industry experience with machine learning teams -Working knowledge of common ML frameworks such as PyTorch, ONNX, DeepSpeed etc. -Prior experience with cloud-native technologies like Kubernetes, Argo Workflows, Buildpacks, etc. -Experience with cloud providers such as AWS, GCP or Azure -A track record of collaboration with colleagues to achieve repeatable high quality outcomes

London

Description - 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 Artificial Intelligence (AI) 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 1 billion proprietary and third-party data points published daily -- across all asset classes -- searchable, discoverable, and actionable.

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 GenAI Platform Engineers with strong expertise and passion for building platforms, especially for GenAI systems.

As a Senior GenAI Platform Engineer, you will have the opportunity to create a more cohesive, integrated, and managed GenAI development life cycle to enable the building and maintenance of our ML systems. Our teams make extensive use of open source technologies such as Kubernetes, KServe, MCP, Envoy AI Gateway, Buildpacks and other cloud-native and GenAI technologies. From technical governance to upstream collaboration, we are committed to enhancing the impact and sustainability of open source.

Join the AI Group as a Senior GenAI Platform Engineer and you will have the opportunity to: -Architect, build, and diagnose multi-tenant GenAI platform systems -Work closely with GenAI application teams to design seamless workflows for continuous model training, inference, and monitoring -Interface with both GenAI experts to understand workflows, pinpoint and resolve inefficiencies, and inform the next set of features for the platforms -Collaborate with open-source communities and GenAI application teams to build a cohesive development experience -Troubleshoot and debug user issues -Provide operational and user-facing documentation

We are looking for a Senior GenAI Platform Engineer with: -Proven years of experience working with an object-oriented programming language (Python, Go, etc.) -Experience with GenAI technologies like MCP, A2A, Langgraph, LlamaIndex, Pydantic AI, OpenAI APIs and SDKs -A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience -An understanding of Computer Science fundamentals such as data structures and algorithms -An honest approach to problem-solving, and ability to collaborate with peers, stakeholders and management

Pinely is a privately owned algorithmic trading firm specializing in high-frequency and mid-frequency trading. We’re based in Amsterdam, Cyprus, and Singapore, and we’re experiencing rapid growth. We are seeking a Staff Deep Learning Scientist to drive advanced AI research. This senior individual contributor role focuses on leading technical innovation and shaping research direction across the team. The ideal candidate has deep curiosity, hands-on expertise in neural networks, and prior experience at top AI labs, contributing directly to building and deploying models.

Responsibilities:

• Develop AI models powering every component of end-to-end trading strategies across global markets;
• Tackle the hardest real-world AI problem — predicting financial markets — by understanding deep networks in extremely noisy, diverse, and ever-changing environments;
• Shape research direction and elevate team capabilities through your insights;
• Lead all stages of research from ideation to deployment, ensuring full production integration.

Requirements:

• Senior/Staff/Principal Researcher at a top AI lab or faculty member at a leading institution (Stanford, Berkeley, MIT, CMU, ETH, Mila, UofT, Oxford, UCL, NYU, Princeton, etc.);
• Preferably experienced in competitive AI domains: LLMs, reasoning architectures, generative models (e.g., video), mechanistic interpretability;
• Motivated by deep research and meaningful impact on both the team and the field.

What we offer:

• Significant impact across the company’s entire trading portfolio;
• Competitive compensation with exceptional upside through profit-sharing;
• A research-driven environment where deep technical insight directly influences outcomes;
• Option to work part-time alongside an academic lab;
• A culture that supports initiative, exploration, and high performance;
• Flexible work location: Amsterdam office or fully remote, with optional business travel.

Cupertino, California

Horizon Robotics (HKEX: 9660) is a leading provider of Smart Driving solutions for passenger vehicles, empowered by our proprietary software and hardware technologies. Our solutions combine cutting-edge algorithms, purpose-built software and processing hardware, providing the core technologies for smart driving that enhance the safety and experience of drivers and passengers. Horizon Robotics is an key enabler for the smart vehicle transformation and commercialization with our integrated solutions deployed at scale.

The Silicon Valley Research Lab focuses on developing novel algorithms and technologies to allow machines to learn new knowledge and skills as efficient as human. We are looking for someone with expertise in and enthusiasm for machine learning research, especially in Robotics, Embodied AI, Reinforcement learning (RL), etc.

As a Research Scientist in the team, you will conduct research within a specialized focus area and collaborate with internal and external world-class researchers and applied engineering teams.

• Propose and formulate research problems towards solving AGI
• Design, implement and evaluate algorithms, models and prototypes of AI systems
• Collaborate with team members to achieve research goals
• Report and present research findings internally and externally (such as in top tier academic journals and/or conferences)

Here is what we’d like to see in you:

• PhD degree ((or close to completion)) in computer science, machine learning, robotics, or related field, with a broad knowledge of machine learning approaches and theory
• Track record of coming up with and implementing new ideas in AI
• Strong ability in mathematically modeling real world problems
• Strong ability in implementing algorithms and systems
• Hunger for learning new things
• Passion in artificial general intelligence and willingness to do challenging deep research
• Experience in one or more fields of artificial intelligence such as machine learning, natural language processing, computer vision, reinforcement learning, robotics, large language models, etc.
• Applicants must be able to obtain work authorization in the U.S. at the time of hire, and maintain ongoing work authorization during employment.

This is a hybrid role with the expectation of working at least 3 days per week in our Cupertino office.

The base pay range for this full-time Research Scientist position is between $150,000 and $300,000/year plus equity incentive, depending on your experience, qualifications, education, skills and other related factors.

This position is also eligible for an annual performance bonus and a competitive benefits package. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, Paid Holidays, Sick Days and Personal Time Off. We also sponsor H-1B visas and green card petitions.

Horizon Robotics is committed to be an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.

Toronto

Description - Bloomberg’s Engineering AI department comprises over 350 AI experts dedicated to building cutting edge, market-leading products. Leveraging advanced technologies including transformers, large language models, and dense vector databases, we are transforming search, discovery, and workflow solutions across the financial industry. As we expand our group, we are seeking highly skilled Machine Learning (ML) and Software Engineers who will contribute innovative solutions to AI-driven customer-facing products.

At Bloomberg, we foster transparency and efficiency in global financial markets. Our technology powers search and discoverability, bringing actionable insights from news, research, financial data, and analytics covering more than 35 million financial instruments. Since 2009, Bloomberg has been at the forefront of applying artificial intelligence to organize the vast volumes of structured and unstructured data that inform critical financial decisions, uncover market signals, and deliver clarity precisely when our clients need it most.

In Toronto, our Machine Learning Engineers are central to advancing Bloomberg’s efforts in financial query understanding and code generation. They bridge the gap between pioneering research and practical solutions, developing models to address complex financial queries and automate code writing. They engineer state-of-the-art code generation systems and apply LLM techniques like CoT, SFT or RLHF to drive iterative model refinement.

Join the AI Group as a Senior ML Research Engineer and you will have the opportunity to: -Collaborate with colleagues on production systems and write, test, and maintain production quality code -Design, train, experiment, and evaluate ML models, algorithms and solutions -Demonstrate technical leadership by owning cross-team projects -Stay current with the latest research in ML 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

We are looking for Senior ML Research Engineers with the following experience: -Practical experience with solving Machine Learning problems and techniques -Ph.D. in ML, Statistics or a relevant field or MSc in CS, ML, Math, Statistics, Engineering, or related fields and 2+ years of relevant work experience -Experience with machine learning and deep learning frameworks -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

San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US; Los Angeles, CA, US

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.

Pinterest is one of the fastest growing online ad platforms, and our success depends on mining rich user interest data that helps us connect users with highly relevant advertisers and products. We’re looking for a leader with experience in machine learning, data mining, and information retrieval to lead a team that develops new data-driven techniques to show the most engaging and relevant promoted content to the users. You’ll be leading a world-class ML team that is growing quickly and laying the foundation for Pinterest’s business success.

What you’ll do:

• Manage and grow the engineering team, providing technical vision and long-term roadmap.
• Design and implement algorithms for real-time bidding, ad scoring/ranking, inventory selection and yield optimization on the DSP.
• Hire, mentor and grow a team of engineers. Set technical direction, manage project roadmaps, and actively guide team execution. Collaborate across Product, Engineering, Marketing and Sales – translating business goals into ML requirements and ensuring solutions meet cross-functional needs.
• Drive product strategy and advocacy: define and evangelize the ML roadmap for programmatic products, present findings and roadmaps to senior leadership, and work with stakeholders to align analytics projects with company goals (e.g. privacy-first personalization, new DSP features).

What we’re looking for:

• Degree in Computer Science, Machine Learning, Statistics or related field.
• 10+ years of industry experience building production machine learning systems at scale, data mining, search, recommendations, and/or natural language processing.
• Experience in programmatic advertising or information retrieval contexts (RTB, DSP/SSP, search), with familiarity with ad campaign metrics, auction mechanics and yield optimization.
• Excellent cross-functional collaboration and stakeholder communication skills.