NeurIPS 2025 Career Opportunities

NYC; Cambridge MA; London UK

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.

We're expanding our team and have multiple positions open, including summer internships, postdoctoral fellowships, and full-time research and operations roles, in NYC and Cambridge, MA. We also anticipate positions open in London, UK in the future.

• Research Scientists and Engineers: 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.
• Postdocs: our Postdoctoral Fellowship offers the opportunity to work both with Basis scientists, contributing to Basis technology, and with academic PIs by mutual agreement.
• Summer internships for graduate students: Apply for our Summer Internship Program and work on real-world projects that matter.

Full listing of open roles and details here.

New York

Software Developer: Generative AI Product Development

The D. E. Shaw group seeks exceptional software developers with expertise in generative AI (GAI) to join a small, fast-moving team building greenfield GAI products that directly transform how our teams operate. In this hands-on, entrepreneurial role you’ll partner with users across the firm to design, build, and deploy bespoke GAI solutions that drive efficiency, enhance analytical capabilities, and accelerate decision-making. This position offers the chance to lead projects from concept to production, and shape internal GAI strategy in a collaborative environment.

What you'll do day-to-day

You’ll join a dynamic team, with the potential to:

• Lead and contribute to greenfield projects, driving innovation and defining the future of GAI at the firm through full-cycle ownership, from exploration to deployment.
• Collaborate directly with internal groups and end users to build GAI applications tailored to nuanced, real-world business needs, and deliver solutions with immediate impact.
• Experiment with emerging AI tools and applications, rapidly prototyping and integrating them across platforms to enhance usability and effectiveness firmwide.
• Scale GAI tool adoption and improve integration with internal systems, with a focus on enabling seamless workflows and efficiency gains.

Who we're looking for

• An extensive background in software and product development and a solid understanding of GAI technologies, demonstrated through hands-on experience building and scaling AI solutions at the product or company level.
• Expertise in technical or entrepreneurial environments, with a record of solving complex challenges and taking projects from inception to deployment.
• We welcome outstanding candidates at all experience levels who are excited to work in a collegial, collaborative, and fast-paced environment.
• The expected annual base salary for this position is 200,000USD to 250,000USD. Our compensation and benefits package includes variable compensation in the form of a year-end bonus, guaranteed in the first year of hire, and benefits including medical and prescription drug coverage, 401(k) contribution matching, wellness reimbursement, family building benefits, and a charitable gift match program.

Remote US or Canada

Mission: Join the team that builds and operates Groq’s real-time, distributed inference system delivering large-scale inference for LLMs and next-gen AI applications at ultra-low latency. As a Low-Level Production Engineer, your mission is to ensure reliability, fault tolerance, and operational excellence in Groq’s LPU-powered infrastructure. You’ll work deep in the stack—bridging distributed runtime systems with the hardware—to keep Groq systems fast, stable, and production-ready at scale.

Responsibilities & opportunities in this role: Production Reliability: Operate and harden Groq’s distributed runtime across thousands of LPUs, ensuring uptime and resilience under dynamic global workloads. Low-Level Debugging: Diagnose and resolve hardware-software integration issues in live environments, from datacenter level events to single component failures. Observability & Diagnostics: Build tools and infrastructure to improve real-time system monitoring, fault detection, and SLO tracking. Automation & Scale: Automate deployment workflows, failover systems, and operational playbooks to reduce overhead and accelerate reliability improvements. Performance & Optimization: Profile and tune production systems for throughput, latency, and determinism—every cycle counts. Cross-Functional Collaboration: Partner with compiler, hardware, infra, and data center teams to deliver robust, fault-tolerant production systems.

Ideal candidates have/are: Proven experience in production engineering across the stack and operating large-scale distributed systems. Deep knowledge of computer architecture, operating systems, and hardware-software interfaces. Skilled in low-level systems programming (C/C++ or Rust), with scripting fluency (Python, Bash, or Go). Comfortable debugging complex issues close to the metal—kernels, firmware, or hardware-aware code paths. Strong background in automation, CI/CD, and building reliable systems that scale. Thrive across environments—from kernel internals to distributed runtimes to data center operations. Communicate clearly, make pragmatic decisions, and take ownership of long-term outcomes.

Nice to have: Experience operating high-performance, real-time systems at scale (ML inference, HPC, or similar). Familiarity with GPUs, FPGAs, or ASICs in production environments. Prior exposure to ML frameworks (e.g., PyTorch) or compiler tooling (e.g., MLIR). Track record of delivering complex production systems in high-impact environments.

Attributes of a Groqster: Humility – Egos are checked at the door Collaborative & Team Savvy – We make up the smartest person in the room, together Growth & Giver Mindset – Learn it all versus know it all, we share knowledge generously Curious & Innovative – Take a creative approach to projects, problems, and design Passion, Grit, & Boldness – No-limit thinking, fueling informed risk taking

The Chan Zuckerberg Institute for Advanced Biological Imaging (CZ Imaging Institute) is building the next generation of imaging technologies to transform our understanding of biology in health and disease. Over the next decade, we aim to create breakthrough systems — spanning hardware, software, probes, and computational tools — that will empower scientists worldwide.

As part of the Chan Zuckerberg Initiative’s Imaging Program, the CZ Imaging Institute (https://czii.org/) combines engineering, computation, and biology to tackle grand challenges in biological imaging. Our work is shared broadly with the global scientific community through open science, direct collaborations, and partnerships.

The CZ Imaging Institute will create breakthrough technologies — hardware, software, biological probes, data, and platforms — that will be made available to the scientific community and adopted worldwide through a combination of direct access to the institute, open sharing of advances, and commercial partnerships. Researchers will collaboratively develop breakthrough biological imaging systems centered around grand challenges that push the boundaries of what we can see and measure.

We are seeking a creative and motivated Data Scientist to develop and apply cutting-edge computational methods for complex imaging problems. This role is ideal for candidates with expertise in applied mathematics, computational science, or physics, combined with modern machine learning approaches. You will design algorithms, build scalable tools, and collaborate across disciplines to advance scientific discovery.

This position is on-site in Redwood City, CA.

What You'll Do - Develop and apply algorithms for solving inverse problems in imaging and related computational challenges. - Use optimization, applied mathematics, and physics-inspired modeling to extract insights from high-dimensional data. - Incorporate modern machine learning and deep learning techniques to improve reconstruction, denoising, and feature detection. - Build robust, scalable pipelines for large-scale biological datasets. - Collaborate with biologists, microscopists, and engineers to design solutions aligned with scientific goals. - Contribute to technical documentation, publications, and presentations.

What You'll Bring - M.S. or Ph.D. in Applied Mathematics, Computer Science, Physics, Engineering, or a related field. - 1 - 5 years of relevant experience. - Strong foundation in inverse problems, optimization, or computational modeling. - Experience in machine learning and deep learning (e.g., PyTorch, TensorFlow). - Proficiency in Python or C++, and familiarity with scientific computing libraries. - Strong analytical, problem-solving, and communication skills. - Experience with imaging data (e.g., cryo-EM, tomography, or related modalities). - Familiarity with convex optimization, variational methods, or numerical PDEs. - Knowledge of GPU computing and high-performance environments. - Track record of scientific publications or open-source contributions.

Palo Alto, CA

Position Description: Video generation models have made significant progress recently but continue to struggle with respecting physics, causality, and fine controllability. At Tesla, we’re training world models on millions of hours of real-world action-conditioned video using one of the biggest compute clusters. Instead of generating more AI slop, our goal is to faithfully reproduce real-world successes and failures, on both the bot and car platform, for the purposes of evaluation and closed-loop reinforcement learning.

Responsibilities: Design and train action-conditioned video generation models that predict future frames and sensor states Develop causal, physics-aware architectures that model interactions, motion, and environmental dynamics Integrate 3D generative techniques such as Gaussian Splatting and volumetric rendering for high-fidelity realism Implement closed-loop training systems where models iteratively refine predictions through feedback and simulation Optimize distributed pipelines for large-scale multimodal training and real-time inference Collaborate across Autonomy and Robotics to align model design, evaluation, and deployment

Requirements: Expertise in generative video or world model architectures Strong background in spatiotemporal modeling, 3D scene understanding, or neural simulation Proficiency with PyTorch or JAX Experience in large-scale distributed training, especially the different forms of parallelism Familiarity with reinforcement or imitation learning in simulated or embodied environments Curiosity about building intelligent systems that understand and generate the world around them

Location Dallas-Fort Worth Metroplex

Description At ServiceLink, we believe in pushing the limits of what’s possible through innovation. We’re looking for a high-achieving AI expert to lead ground-breaking initiatives that redefine our mortgage industry. As our Lead AI Engineer, you’ll harness cutting-edge technologies—from advanced machine learning and deep learning to generative AI, Large Language Models, and Agentic AI—to create production-ready systems that solve real-world challenges. This is your opportunity to shape strategy, mentor top talent, and turn ambitious ideas into transformative solutions in an environment that champions bold thinking and continuous innovation.

Applicants must be currently authorized to work in the United States on a full-time basis and must not require sponsorship for employment visa status now or in the future.

A DAY IN THE LIFE In this role, you will… - Transform complex business challenges into innovative AI solutions that leverage deep learning, LLMs, and autonomous Agentic AI frameworks. - Lead projects end-to-end—from ideation and data gathering to model design, fine-tuning, deployment, and continuous improvement using full MLOps practices. - Collaborate closely with business stakeholders, Data Engineering, Product, and Infrastructure teams to ensure our AI solutions are powerful, secure, and scalable. - Drive both research and production by designing experiments, publishing state-of-the-art work in high-impact journals, and protecting strategic intellectual property. - Mentor and inspire our next generation of Data scientists and AI Engineers, sharing insights on emerging trends and best practices in AI.

WHO YOU ARE You possess … - A visionary leader with an advanced degree (Master’s or Ph.D.) in Computer Science, Engineering, or a related field, backed by 7+ years of progressive experience in AI and data science. - A technical powerhouse with a solid track record in statistical analysis, machine learning, deep learning, and building production-grade models using transformer architectures and Agentic AI systems. - Re-engineered conventional workflows leveraging AI technologies, achieving measurable business outcomes. - Proficient in Python—and comfortable with other modern programming environments—armed with real-world experience in cloud platforms (preferably Microsoft Azure) and end-to-end AI development (CRISP-DM and ML-Ops). - An exceptional communicator who can distill complex technical ideas into strategic insights for diverse audiences, from the boardroom to the lab. - A proactive problem solver and collaborative team player who thrives in a fast-paced, interdisciplinary setting, ready to balance innovative risk with practical execution.

Job Description At Emmi AI, we are redefining how industries innovate. Traditional simulations are slow, expensive, and computationally heavy. We make them fast, scalable, and intelligent! Our AI-powered physics architecture and models unlock real-time interaction, slashing simulation times from days to seconds.

The Opportunity Work directly with our founding team as the strategic right hand to our CEO, COO, and Chief Scientist. You'll help navigate Emmi AI's growth trajectory in the specialized AI-physics simulation landscape through a blend of strategic insight and hands-on execution.

Your Mission - Strategic Intelligence & Decision-Making – Conduct market analysis of the specialized physics AI landscape, translating technical developments into strategic positioning - Lead Cross-Functional Projects – Orchestrate a wide range of high-impact special projects - VC & Investor Relations – Lead preparation for funding rounds, create compelling investor materials, and manage relationships with our European and international investors - High-Stakes Execution – Drive critical initiatives from conception to completion, adapting quickly as our strategic landscape evolves

Job Requirements - Venture Experience – 5+ years in VC, deep tech startups, consulting, or similar analytical roles - Strategic Thinking – Proven ability to analyze complex markets and translate insights into actionable recommendations - Project Management – Project management expertise across multiple workstreams - International Perspective – Experience working across European markets and innovation ecosystems - Exceptional Communication – Ability to translate complex technical concepts for diverse stakeholders

What Sets You Apart - Analytical Depth – You excel at quantitative and qualitative analysis, uncovering insights others miss - Technical Curiosity – While not necessarily a developer, you understand technology well enough to engage meaningfully with our research team - Growth Mindset – You thrive in ambiguity and see challenges as opportunities to push boundaries - Continental Vision – You understand Europe's unique deep tech ecosystem and can help position Emmi for success across multiple markets - Execution Excellence – You deliver consistently high-quality work and can adapt quickly as priorities evolve

Palo Alto

Mission: Design and build the real-time data infrastructure that powers GroqCloud’s global revenue engine, processing hundreds of billions of events each day, sustaining millions of writes per second, and enabling a multi-billion-dollar business to operate in real time. Drive the intelligence layer that fuels global billing, analytics, and real-time business operations at worldwide scale.

Responsibilities & opportunities in this role: Architect high-performance data pipelines to ingest, process, and transform millions of structured and semi-structured events daily. Build distributed, fault-tolerant frameworks for streaming data from diverse sources. Create data services and APIs that make usage and billing data easily accessible across the platform. Develop lightweight tools and dashboards to monitor and visualize data ingestion, throughput, and system health.

Ideal candidates have/are: Strong background in real-time data processing, distributed systems, and analytics infrastructure. Hands-on experience with streaming technologies such as Kafka, Flink, Spark Streaming, or Redpanda and real-time analytics databases such as Clickhouse, Druid, or Pinot. Deep understanding of serialization, buffering, and data flow optimization in high-throughput systems.

Bonus points: Experience deploying and managing workloads on Kubernetes. A passion for systems performance, profiling, and low-latency optimization. Familiarity with gRPC and RESTful API design.

Attributes of a Groqster: Humility – Egos are checked at the door Collaborative & Team Savvy – We make up the smartest person in the room, together Growth & Giver Mindset – Learn it all versus know it all, we share knowledge generously Curious & Innovative – Take a creative approach to projects, problems, and design Passion, Grit, & Boldness – No-limit thinking, fueling informed risk taking

San Francisco / New York / Toronto

About Ideogram

Ideogram’s mission is to make world-class design accessible to everyone, multiplying human creativity. We build proprietary generative media models and AI native creative workflows, tackling unsolved challenges in graphic design. Our team includes builders with a track record of technology breakthroughs including early research in Diffusion Models, Google’s Imagen, and Imagen Video. We care about design, taste, and craft as much as research and engineering – shipping experiences that creatives actually love.

We’ve raised nearly $100M, led by Andreessen Horowitz and Index Ventures. Headquartered in Toronto with a growing team in NYC, we're scaling fast, aiming to triple over the next year. We're a flat team with a culture of high ownership, collaboration, and mentorship.

Explore Ideogram 3.0, Canvas, and Character blog posts, and try Ideogram at ideogram.ai.

The Opportunity

In this role, you will develop the post-training pipeline for our text-to-image foundation models end to end, from data strategy to deployment, advancing techniques such as RLHF, RLAIF, and work on personalization/customization. You will contribute to post-training research that drives measurable gains, and implement and maintain high-throughput fine-tune/eval pipelines. You'll work with a creative and ambitious team of engineers and researchers who are building the future of the creative economy.

What We're Looking For

• 5+ years of experience in developing machine learning models in JAX, PyTorch, or TensorFlow.

• Experience in implementing Machine Learning foundations (e.g., Transformer, VAE, Denoising Diffusion models) from scratch.

• Track record in machine learning innovation and familiarity with Deep Learning and advanced Machine Learning.

• End-to-end understanding of generative media applications and excitement for pushing the state-of-the-art in generative AI.

• Ability to debug machine learning models to iteratively improve model quality and performance.

• Nice to have: Familiarity with Kubernetes and docker.

• Optional: Experience in low-level machine learning optimization, e.g., writing CUDA kernel code.

Our Culture

We’re a team of exceptionally talented, curious builders who love solving tough problems and turning bold ideas into reality. We move fast, collaborate deeply, and operate without unnecessary hierarchy, because we believe the best ideas can come from anyone.

Everyone at Ideogram rolls up their sleeves to make our products and our customers successful. We thrive on curiosity, creativity, and shared ownership. We believe that small, dedicated teams working together with trust and purpose can move faster, think bigger, and create amazing things.

Ideogram is committed to welcoming everyone — regardless of gender identity, orientation, or expression. Our mission is to create belonging and remove barriers so everyone can create boldly.

What We Offer

💸Competitive compensation and equity designed to recognize the value and impact of your contributions to Ideogram’s success. 🌴 4 weeks of vacation to recharge and explore. 🩺 Comprehensive health, vision, and dental coverage starting on day one. 💰 RRSP/401(k) with employer match up to 4% to invest in your future from the moment you join. 💻 Top-of-the-line tools and tech to fuel your creativity and productivity. 🔍 Autonomy to explore and experiment — whether you’re testing new ideas, running large-scale experiments, or diving into research, you’ll have access to compute/resources you need when there’s a clear business or creative use case. We encourage curiosity and bold thinking. 🌱 A culture of learning and growth, where curiosity is encouraged and mentorship is part of the journey. 🏡 Fully remote flexibility across North America, with regular in-person team meetups and collaboration opportunities.

San Jose, CA, USA

Adobe is looking for a Senior Software Engineer to contribute to building the platform that powers Adobe Experience Platform’s Generative AI capabilities. Partnering with other business units, you will be building products that transform the way companies approach audience creation, journey optimization, and personalization at scale. You will join a diverse, lively group of engineers and scientists long established in the ML space. The work is dynamic, fast-paced, creative, collaborative and data-driven.

What you'll Do - Architect solutions to implement functionality across multiple services and teams.
- Design and build solutions for comprehensive monitoring and alerting of anomalies.
- Design and build highly available services that scale horizontally - Participating in all aspects of software development activities, including design, coding, code review, unit/integration/end-to-end testing, refactoring, bug fixing, and documentation
- Work in multi-functional teams to ensure timely delivery of high-quality product features
- Fast prototyping of ideas and concepts and researching the latest industry trends.
- Experiment with upcoming technologies in a fast-paced environment.

What you need to succeed The ideal candidate will have the following background: - Bachelor's degree or higher in Computer Science, or equivalent experience in the field. - 10+ years of experience in web technologies - Proven programming skills with extensive experience in languages such as Java and Python. - A proven expertise building large scale distributed systems - Experience in building, deploying, and managing infrastructures in public clouds (Azure / AWS)
- Ability to demonstrate a high level of ownership for the entire SDLC, including designing, building, testing, deploying, and supporting production microservices in a fast-paced environment.
- Strong problem-solving and analytical abilities.
- Be a self-starter requiring minimal direction with ability to learn quickly and adapt to changing priorities and requirements. - Accept challenges outside one's comfort zone and deliver viable solutions within defined time boundaries.
- Ability to think through solutions from a short term and long-term lens in an iterative development cycle. - A dedication to learning and sharing ideas with your fellow engineers - Mastery of breaking down, discussing, and communicating abstract technical concepts - Familiarity with agile development methodologies - Real world experience working with Generative AI - Worked on Machine Learning infrastructure and applications