• Deep research experience in post-training or RL methods (RLHF, DPO, GRPO, reward modelling).
• Strong background in training and evaluating large language models.
• Proven publication record at top-tier venues (NeurIPS, ICLR, ICML, ACL, EMNLP).
• Experience leading research teams and scoping high-impact projects.
• Curiosity, creativity, and the ability to thrive in a fast-moving startup environment.
  
  

Looking to tackle novel speech challenges at scale?

You'll be joining a small but mighty speech AI company building proprietary speech tech from the ground up. With a strong customer base, your research will directly impact production systems serving enterprise customers, with the opportunity to see your work deployed at scale in real-world voice applications.

They're a well-funded startup with healthy revenue streams and immediate opportunities for high-impact research.

Your research

You'll be working on breakthrough speech research that push the boundaries of naturalness and real-time performance. The company has achieved ultra-low latency and is now advancing toward unified speech-to-speech architectures.

You'll develop emotional expression and natural speech generation, advance multilingual support across 30+ languages, and enhance voice cloning robustness.

Your focus

• Lead cutting-edge research in SOTA speech models (TTS, ASR, or speech-to-speech)
• Design, execute and iterate on experiments end-to-end
• Drive speech controllability and naturalness improvements
• Develop evaluation methodologies for speech quality assessment

What you'll bring

• Deep understanding of cutting-edge speech models with end-to-end pipeline experience
• Experience with large-scale model training
• Strong background in speech model development and optimisation
• Published work with demonstrable results in industry or academic settings

Nice to have

• Performance optimisation experience for latency and compute efficiency
• Experience with model fusion and unified architectures

This is a remote role, either in US or Europe. Competitive comp based on experience.

Ready to lead the development of a foundation model that powers the next generation of Agentic AI?

This is a hands-on leadership role where you’ll train models from scratch, make the key architectural decisions, and grow your own team. The work will build a Foundation model underpinning AI systems that think, reason, and act in mission-critical environments.

You’ll join a well-backed company founded by an entrepreneur with a previous billion-dollar exit, already partnering with Fortune 100 and 500 clients. Their latest funding round is being channelled directly into compute and team buildout — a substantial commitment to creating truly differentiated AI technology, powered by the foundation model you’ll help design and train.

The challenge: build reasoning-capable foundation model to power Agents, another team in the company will fine-tune and adapt from specific industry use-cases and clients. Your team will work at scale, combining pre-training and post-training approaches while ensuring models meet regulated industry requirements. This is about more than just building models — it’s about creating infrastructure, teams, and frameworks that define the future of AI in high-stakes settings.

Your focus will include leading pre-training and post-training of foundation models, architecting reasoning-capable LLMs, scaling a 15–20 person research and engineering team over 12 months, and integrating models into domain-specific applications.

You should bring:

• Staff/Principal-level experience with hands-on model training.

• Deep expertise in pre-training or post-training (ideally both).

• Track record of driving impactful projects to completion.

• Strong understanding of LLM architectures and large-scale training.

• Experience leading complex technical initiatives across teams.

Nice to have: experience in regulated/safety-critical AI, reasoning or planning architectures, open-source model development, or prior technical leadership.

Package: $350k base (negotiable) + substantial stock, healthcare, 401k, 20 vacation days, and flexible working.

You must be based in the SF Bay Area. US citizens and green card holders only.

This is an opportunity to lead foundation model development with the resources, autonomy, and backing to deliver groundbreaking technology.

All applicants will receive a response.

Build the foundational models that will give AI agents true 3D understanding

Want to solve the fundamental challenge of how AI systems perceive and reason about 3D geometry?

This Lead Applied Scientist role puts you at the forefront of creating perception capabilities for the next generation of agentic AI systems. You'll lead a team building discriminative and generative models introduced into agentic workflows, solving complex challenges in agentic AI for industrial applications.

You'll be joining a well-funded startup developing AI agents for advanced design and manufacturing workflows. Your work will bridge the gap between the physical world and intelligent reasoning systems, creating models that understand CAD data, meshes, and point clouds at a level that enables autonomous decision-making.

This role offers the opportunity to hands on lead a team to build 3D computer vision capabilities from the ground up. You'll be establishing an entirely new domain within the research team, with significant autonomy to define evaluation strategies, model objectives, and technical direction. Your models will form the perception backbone that enables agents to truly understand and manipulate the 3D world.

Your technical challenges:

• Build models that understand diverse 3D data types (CAD, mesh, point cloud) and learn transferable representations across formats
• Handle messy, lossy, or incomplete real-world data - moving beyond clean synthetic geometry to tackle industrial reality
• Scale training across multiple 3D tasks: segmentation, classification, correspondence, and eventually generation
• Create evaluation pipelines that meaningfully assess model performance and enable continuous production monitoring
• Work toward a foundational 3D model supporting both discriminative and generative tasks, integrated into broader agentic AI architecture

Your expertise should include:

• Deep specialisation in 3D computer vision (ideally including a PhD in Computer Vision)
• Strong knowledge of modern 3D architectures (PointNet++, MeshCNN, 3D Gaussian Splatting, diffusion models, VLMs)
• Proven ability training large-scale deep learning models with PyTorch
• Solid applied research skills - can implement novel architectures from papers and make them work in practice
• Experience with multimodal or vision-language model development

Nice to have:

• Background working with CAD data or industrial design workflows
• Experience in complex topics such as robotics, autonomous driving, or AR/VR with 3D perception focus
• Familiarity with SLAM, pose estimation, or differentiable rendering

You'll join a research team that values ownership and rapid iteration, with the resources to pursue ambitious technical goals. The company provides abundant compute resources and the freedom to explore foundational approaches whilst ensuring practical impact.

Package includes:

• Base salary: $300,000
• Performance bonus up to 20%
• Medical, dental, and vision coverage
• 401k with up to 3% company match
• 20+ vacation days

You'll need to be based in SF Bay Area or Miami, with a collaborative team environment that encourages innovation and technical excellence.

You must have valid right to work in the US without sponsorship (US Citizenship or Green Card).

If you're excited about creating the 3D perception capabilities that will power the next generation of intelligent agents, we'd love to hear from you.

All applicants will receive a response.

Interested in building distributed training infrastructure that powers a frontier-scale superintelligence platform?

This role is about creating the systems that make breakthrough AI research possible. You’ll be working on large-scale training infrastructure for LLMs and multimodal models, building the backbone for models that generate new knowledge across multiple domains.

Your work will cover distributed training systems, performance optimisation, and scalable pipelines that enable complex experiments to run across thousands of GPUs. Instead of maintaining legacy stacks, you’ll be designing the infrastructure that pushes models further — and accelerates real-world progress.

You’ll work closely with researchers tackling problems at the cutting edge, ensuring the systems you build directly support new discoveries. This isn’t just another ML engineering role: it’s about creating the foundation for next-generation AI.

You should have:

• Proven experience with distributed ML training frameworks.

• Strong engineering background in Python and C++.

• Understanding of large-scale model training techniques.

• Experience in cloud or HPC environments.

Package: $250k–$350k base + equity, full benefits. Onsite in San Francisco, CA or Boston, MA. Remote considered

If you want your engineering to enable genuine breakthroughs — not just optimise another product pipeline — this role is for you.
All applicants will receive a response.

Want to build simulated RL environments that push frontier models to their limits?

This role is about advancing the science of post-training, reinforcement learning, and scalable evaluation. Instead of static benchmarks, you’ll create dynamic simulations that probe reasoning, planning, and long-horizon behaviour — work that defines how the next generation of AI will be trained and supervised.

You’ll design new post-training algorithms (RLHF, DPO, GRPO and beyond), develop reward models that move beyond exact-match signals, and publish your findings while seeing them deployed in production systems. The work spans both core research and practical implementation, giving you the chance to shape frameworks already being adopted by industry leaders.

We’re looking for:

• Research experience in post-training or RL methods with LLMs.

• Strong background in transformers and evaluation frameworks.

• Publication record at top venues (NeurIPS, ICLR, ICML, ACL, EMNLP).

• PhD in CS/ML/NLP/RL or equivalent research experience.

Package: Up to $300k base (DOE) + meaningful equity, with comprehensive benefits, 401k, unlimited PTO, relocation support and sponsorship available. Location is San Francisco preferred, with NYC also considered.

Ready to help define how AI learns and is evaluated in simulated environments?
All applicants will receive a response.

Looking to solve complex ASR challenges at scale?

You'll be joining an established conversational AI company with proprietary in-house speech models that process billions of interactions annually, where your ASR expertise will directly impact real-world customer experiences.

You'll be tackling demanding ASR problems in production environments: streaming speech recognition in noisy conditions, robust accent handling and maintaining high performance at scale.

Working across key production environments, you'll enhance speech capabilities and bring new features to production that push the boundaries of what's possible in challenging acoustic environments.

Your focus

• Maintain and iteratively improve existing ASR technology while introducing cutting-edge enhancements
• Work end-to-end across speech processing components: speech enhancement, VAD, diarisation, and ASR (AM/LM modelling, ASR biasing)
• Build streaming ASR systems optimised for challenging acoustic environments
• Implement emotion detection and acoustic condition classification capabilities
• Run extensive experiments to advance activity detection and speech processing performance

What you'll bring

• Strong background in ASR model development and deployment
• Hands-on experience with SOTA speech toolkits (Kaldi, K2, NVIDIA NeMo, Parakeet)
• Proven streaming ASR experience in production environments

This is a fully remote role – must be close to EU timezone. 

Ready to make your mark on speech tech that millions rely on daily? Apply today.

Want to work with AI agents used for good?

Join a well-funded AI company developing next-generation foundation models specifically for healthcare. With over $250 million backing from top-tier investors, they're creating agents, foundation language models, and real-time empathetic and nartural conversational AI that prioritise safety and medical accuracy.

You'll join a world-class research team comprised of ex-researchers from Microsoft, Meta, NVIDIA, Apple, Stanford, Johns Hopkins, and HuggingFace. This role offers the opportunity to work on AI technology that could transform healthcare outcomes for millions worldwide.

Your focus:

• Developing and improving LLMs for healthcare applications, directly contributing to agent architecture and conversational AI systems
• Implementing advanced post-training techniques including instruction tuning and RLHF
• Building systems capable of real-time patient interactions with medical-grade accuracy
• Advancing multilingual capabilities for global healthcare accessibility
• Researching continual learning approaches that evolve through patient interactions
• Collaborating with researchers from top universities and leading tech companies

Your expertise:

• Hands-on experience training multi-billion parameter large language models
• Strong background in NLP with deep understanding of transformer architectures
• Experience as an Applied researcher with excellent Python and PyTorch coding skills
• Expertise in reinforcement learning, RLHF, LLM post-training, and supervised fine-tuning
• Experience with large-scale data processing and distributed computing

Nice to have:

• Healthcare or life sciences background
• Publications at top-tier AI conferences
• Experience with multimodal AI systems

Your package:

• Base salary: $200,000-$350,000 (based on experience)
• Stock package
• Comprehensive benefits including healthcare, dental, and vision
• 401k with company contributions

Based near Palo Alto, CA with strong preference for on-site collaboration.

This isn't just another AI research role - it's the chance to build technology that could fundamentally improve healthcare delivery globally. Your work will contribute to creating AI systems that assist with patient care and improve healthcare accessibility.

Ready to help shape the future of healthcare through AI? Apply today. All applications will receive a response.

Ready to pioneer the speech intelligence behind the next generation of embodied AI?

Join a pioneering startup developing foundational technology for natural conversation in embodied agents. You'll advance the speech systems that power avatars with authentic behaviours, real-time expression, and conversational intelligence that handles interruptions and turn-taking just like humans.

This Lead Research Scientist role focuses on advancing real-time speech systems for interactive avatars. You'll develop full-duplex dialogue models and speech-to-speech architectures that enable natural conversational flow, interruption handling, and emotional expression.

Founded by ex-Googlers, they're building proprietary behaviour models that learn from two-way interactions, creating systems where speech timing, prosody, and contextual responses work in harmony with facial expressions and physical behaviours to drive authentic embodied intelligence.

Your focus:

• Research & develop full-duplex speech systems with natural interruption handling
• Develop expressive voice models with controllable prosody and timing
• Build speech-to-speech architectures preserving identity and emotion
• Create real-time audio generation systems for conversational avatars
• Publish research while deploying systems in production
• Collaborate across teams integrating speech with visual behaviour

Requirements:

• PhD in Speech, Machine Learning, or related field
• First-author publications at top conferences (Interspeech, ICASSP, NeurIPS, ICLR, etc)
• Expertise in text-to-speech, speech-to-speech models, or voice cloning
• Large-scale training experience
• Experience in prosody modelling or real-time audio generation

Nice to have:

• Experience with full-duplex speech research
• Speech-visual alignment expertise (lip sync, expressions)
• Real-time audio deployment optimisation

Package:

• Competitive salary $200k- $300k base (based on experience)
• Meaningful equity package
• Comprehensive healthcare (90% covered)
• Unlimited PTO
• Fully remote work with regular team offsites
• Life insurance and disability coverage

Location: Fully remote position, globally, with preference for Pacific Time alignment.

Ready to make AI conversations feel authentically human?