Pioneer groundbreaking research in AI agentic supervision

Want to develop the world's first agentic AI systems that can autonomously supervise and evaluate other AI? This Research Scientist role offers the chance to tackle fundamental challenges in AI supervision, red teaming, and automated evaluation at an unprecedented scale.

You'll join a company pioneering intelligent systems that evaluate advanced AI applications. Their technology, trusted by OpenAI, HP, and Fortune 100 companies, represents the cutting edge of scalable AI oversight. Despite being well-funded with $20M in backing, they're already generating significant ARR - proving real market demand for their solutions. Their evaluators outperform AI industry leaders internal solution by 18% in hallucination detection, and they've developed industry benchmarks used across multiple sectors.

The role focuses on research (50%) developing state-of-the-art systems for autonomous AI supervision, pushing beyond traditional approaches to create truly agentic evaluation frameworks. You'll conduct SOTA research, fine-tune LLMs, implement novel algorithms, conduct groundbreaking research on red teaming, and design experiments that advance the field of automated AI oversight. Here, you'll publish with the team in conjuction with top AI research labs and academic organisations, the role is 50% research and 50% implementation. 

The ideal candidate has:

• Strong experience in Applied AI NLP research
• Publications at leading AI conferences (NeurIPS, ICML, EMNLP, ACL, ICLR)
• Experience fine-tuning LLMs (must-have)
• Deep understanding of transformer architectures and evaluation metrics
• Big Tech experience (highly desirable)
• Experience in evals, LLM as judges, or red teaming

The company works with both startups and Fortune 100 enterprises. Their team has published at top ML conferences and built AI products at leading tech companies.

This role offers competitive compensation ($200k-$250k base - negotiable), significant stock options, full benefits, 401k, and unlimited PTO. Location preference for San Francisco Bay Area. Relocation assistance available. Remote considered for industry-leading researchers in evals.

Interested in pioneering the future of autonomous AI supervision?

Lead AI research that shapes how AI evaluates AI

Want to pioneer AI supervision systems that ensure powerful models can be safely trusted? This leadership role offers a rare chance to solve one of AI's most critical challenges: making AI systems that can effectively evaluate other AI.

You'll join a well-funded startup backed by top Silicon Valley VCs and led by a team with elite ML research backgrounds from FAIR, Meta Reality Labs, and quant finance. Their technology is already trusted by OpenAI, HP, and Fortune 100 companies across education, finance, and healthcare.

As Head of AI, you'll lead a team building cutting-edge evaluation systems that leverage memory, long-context reasoning, and multimodal capabilities. Your research won't just advance the field – it will be immediately implemented in products that solve real enterprise AI safety challenges.

The team has published at top ML conferences (NeurIPS, EMNLP, ACL) and developed models and benchmarks used by leading AI companies worldwide. Their evaluators already outperform OpenAI's by 18% in hallucination detection.

Your focus:

• Lead a research and ML engineering team developing state-of-the-art AI supervision systems
• Solve open research problems in evaluation, explainability, and robustness
• Set research vision alongside the CTO and establish rigorous research processes
• Guide development of novel benchmarks for SOTA AI systems
• Represent the company through publications, speaking, and industry relationships
• Build and grow a world-class technical team

You should have:

• PhD in Computer Science, Mathematics, Statistics, Linguistics or related field
• Strong publication record at top AI conferences (NeurIPS, ICML, EMNLP, ACL)
• Experience conducting empirical NLP research in academic or industry settings
• Deep knowledge of transformer architectures and evaluation frameworks
• Experience training language models in applied or research contexts
• Ability to communicate complex technical concepts across different audiences

The package:

• Competitive salary ($300K-$350K base) 
• Meaningful equity in a well-funded startup
• Performance bonus
• Full health, dental and vision coverage
• 401k plan
• Unlimited PTO
• Regular global team off site days

Location preference for NYC or SF, with flexibility for exceptional candidates.

If you're passionate about ensuring advanced AI systems can be effectively supervised and evaluated, this role offers the chance to make a significant impact on the future of AI safety and deployment.

Shape the future of agentic AI through cutting-edge data strategy

Want to pioneer next-generation data techniques for advanced AI systems? This role combines frontier model research with practical implementation at one of Europe's most ambitious AI startups.

You'll join a rapidly growing AI Data team developing cutting-edge data-centric approaches that enhance LLMs, VLMs, and Action Models. This isn't just about collecting data – it's about transforming how AI systems learn and operate through synthetic generation, model distillation, and preference alignment.

Founded with a clear mission to push the boundaries of superintelligent agentic AI, this well-funded startup ($200M raised) is assembling world-class talent focused on both advancing capabilities and ensuring responsible development. Their approach is comprehensive – building proprietary technology from data to models, focusing on language, multimodal, and vision systems with superior performance and cost-effectiveness.

As an Applied Engineer focusing on Data Research, you'll develop sophisticated data strategies that directly impact frontier AI systems:

• Generate and augment synthetic multimodal datasets for VQA, agent behaviours, and virtual navigation
• Apply model distillation techniques to optimise large-scale models for edge deployment
• Design evaluation frameworks to measure improvements across multiple domains
• Lead research into aligning data with human and AI preferences
• Collaborate with cross-functional teams to integrate data-driven solutions

This role offers rare access to significant compute resources, with a massive GPU cluster that enables cutting-edge work. You'll be joining at a pivotal stage where your contributions will shape core technology and direction.

Requirements:

• Strong Python programming skills covering parallel computing, system design, and large-scale deployments
• Experience developing multimodal data pipelines
• Background in training and deploying LLMs, VLMs or PyTorch models
• MSc or PhD in machine learning, computer vision, NLP, or related field
• Deep understanding of training and evaluation paradigms for multimodal models
• Effectiveness in fast-changing environments

Nice to have:

• Experience with agent-specific data pipelines
• Background in multimodal human annotation platforms
• Document understanding/OCR expertise
• Synthetic data generation experience (particularly multimodal)

You'll have flexibility to work from New York, London, or remotely within European or US East Coast time zones. For those based in cities with offices, hybrid arrangements are available.

Your package includes a highly competitive salary ($200,000-$350,000 depending on experience) plus significant equity with strong upside potential.

If you're passionate about advancing AI through innovative data approaches and want to make a lasting impact on agentic systems, we'd love to hear from you. All applicants will receive a response.

Create agentic AI for industries where decisions matter: from healthcare to aerospace. Oh, and you’ll have the compute power train large models to solve this challenge.

Your role as Applied Scientist is to build next-generation AI agents solving real problems in regulated STEM fields. From Healthcare to Aerospace. You’ll train large transformer models and work on reasoning and agentic ai to create secure, explainable agentic AI systems for regulated environments.

You'll be joining a top team, ex-big tech and start-up execs and a founder who is a successful entrepreneur with billion-dollar+ exits. This company is tackling the significant architectural, security, and ethical challenges of current AI systems. They've also raised $ 20 million and are already working with companies in industries where standard AI approaches fall short.

Your focus:

• Applied research from research to data to model fine-tuning & training and evals.
• Training (pre & post-training) and fine-tuning Large Language Models (text and multimodal) specifically for complex industry workflows.
• Creating systems with strong reasoning and explainability capabilities
• Working with complex datasets (proprietary, customer, and synthetic)
• Implementing supervised fine-tuning and reinforcement learning techniques
• Collaborating with engineering teams to pass off model deployment

The ideal candidate has:

• Hands-on experience training LLMs from scratch
• Deep understanding of transformers
• Experienced in Applied Research
• Strong Python and PyTorch skills
• Experience with NLP or multimodal models (computer vision backgrounds considered if you've worked with large transformer models)
• Track record of building real AI products with measurable impact

They offer:

• Abundant compute resources for training large models
• Salary ranges from $200k-$250k for experienced hires, plus up to 20% performance bonus
• Significant share package
• Healthcare (medical, dental, vision)
• 401k
• 20 vacation days and flexible working hours
• Relocation package.

You'll join a team that values clear communication, hands-on building, and a no-ego culture. The research team is small now but growing to 15-20 members within the next year, giving you significant influence on direction and approach – giving the chance to put your stamp on truly Agentic systems.

You’ll need to be based in Miami or Fort Lauderdale, the work arrangement is hybrid. Generous relocation package on offer if you are relocating to Florida.

You must have eligibility to work in the US and valid right to work. At this time, visas cannot be sponsored. 

If solving unique technical challenges in an ego-free environment with strong resources appeals to you, reach out for a confidential conversation. Everyone will receive a response.

Join a Research Team in SOTA Multimodal AI

Are you ready to shape the future of generative AI? We’re looking for a passionate Researcher/Scientist to join a team pushing the limits of foundational multimodal models.

You’re an expert in complex AI systems with a track record of impactful research publications in at least one of these areas:

1 - Vision Generation: Video, image, 3D, or large vision models (LVMs)
2-  Generation: Audio, speech/TTS, or music
3- Text Generation: Natural language generation (NLG) or large language models (LLMs)

Your expertise lies in generative models—researching, building, and training them from the ground up. You thrive on solving tough challenges, whether it’s training and fine-tuning Diffusion models, optimizing performance of LVMs, or inventing new techniques to push latency/inference to the next level. Naturally, you’re a Python pro and fluent in deep learning frameworks like PyTorch or TensorFlow. 

What You’ll Do

You’ll join a team of innovators tackling groundbreaking research that’s redefining multimodal AI. Your work won’t just sit in a lab—it’ll ship to millions of users, powering a product that’s accelerating the field. This is your chance to see your ideas come to life at scale.

Who You’ll Work With

You’ll collaborate with a seasoned crew, including alumni from DeepMind, OpenAI, NVIDIA, and Meta. Backed by top-tier VCs and fueled by fast-growing revenue, this team has the resources and ambition to make waves—and they’re just getting started.

What You’ll Get

Salary: $220k–$350k base, plus a generous equity packageBenefits: Comprehensive healthcare (health, dental, vision), unlimited PTO, and more

Location: San Francisco preferred; remote possible for standout candidates (those at top tier AI labs or industry leading published authors)

If you’re ready to leave your mark on the future of AI, apply now or reach out to Marc Powell at techire.ai for immediate consideration.

Passionate about building frontier language models that power autonomous agents?

Join a forward-thinking AI venture creating the technology that will reshape how we interact with machines. Their mission? Developing superintelligent agents that handle complex tasks.

This role puts you at the center of model development, designing and training the enormous language models that form the foundation of their agent architecture. You'll help forge new paths in AI by crafting models specifically engineered for agent-based applications.

Day to day, you'll:

• Craft and refine massive data pipelines for model training
• Enhance distributed training infrastructure
• Apply cutting-edge research to boost model capabilities
• Present findings to both technical teams and stakeholders
• Track and implement breakthroughs from the research community

Ideal candidates bring:

• Hands-on experience with major deep learning frameworks
• Track record training or optimizing large language models
• Knowledge of distributed systems for AI workloads
• Strong engineering skills
• MS or PhD in a relevant technical field

Bonus points for:

• Research published in prestigious ML conferences
• Experience with large-scale data processing
• Knowledge of vision-language models or action models 
• Background in model efficiency techniques

Choose between fully remote work across European or East Coast US time zones, or hybrid arrangements if you're based near their London office. 

You'll be welcomed into a diverse team of top researchers and engineers united by their commitment to building powerful yet responsible AI.

Want to help shape the core technology driving the next wave of AI advancement? This opportunity connects you directly to that mission.

Want to scale AI Agents through innovative ML infrastructure?

A pioneering AI company is looking for an experienced Engineer to revolutionize how their agent technology is deployed and served. While others follow conventional paths, they're creating new approaches to agent-specific serving challenges.

Short term, you'll focus on cloud deployment and performance optimization, enhancing their current infrastructure. Long term, you'll help design and build proprietary frameworks that challenge the status quo of model serving.

What You'll Do:

• Architect and improve cloud-based deployment systems 
• Create efficient solutions for concurrent model serving
• Lead the transition from Open Source and third-party tools to custom frameworks
• Drive innovation in model compression and performance
• Design new approaches to large-scale model deployment

You Should Have:

• Advanced degree in Computer Science or related field
• Strong background in MLOps or Model Inference
• Experience scaling AI models in production
• Python expertise and interest in systems programming
• Track record of solving complex deployment challenges

Bonus Points For:

• LLM model serving such as vLLM or similar
  Building custom serving solutions
• Knowledge of GPU optimization
• Experience with large language models
• Background in high-performance computing

You'll join a world-class team pushing the boundaries of what's possible with AI agents. Work remotely (EU/US East Coast) or hybrid from their London office.

This role is perfect for someone who:

• Enjoys tackling unprecedented technical challenges
• Thinks creatively about infrastructure problems
• Values practical solutions while innovating for the future
• Thrives in fast-paced, research-driven environments

Compensation is highly competitive, reflecting the senior nature of the role.

Ready to help define the future of AI infrastructure? Contact Marc at Techire AI to learn more. All applications will receive a response.

Looking to Push the Boundaries of Safe, Superintelligent AI Agents?

A pioneering AI company is seeking a Research Scientist to help develop sophisticated multi-agent systems that enhance human capabilities in complex tasks.

Backed by substantial funding and led by an exceptional founding team, they're developing advanced AI agent architectures incorporating multi-agent reinforcement learning, environment navigation, decision-making systems, LLM agents, planning, and memory frameworks.

As a Research Scientist specializing in reinforcement learning and multi-agent systems, you'll join at a pivotal time as they scale to over 100 team members. You'll work on:

• Advancing multi-agent reinforcement learning systems
• Developing novel approaches to agent coordination
• Designing sophisticated planning and memory architectures
• Contributing to the development of proprietary large language models
• Ensuring safety and reliability in agent systems

Requirements:

• PhD in Computer Science, Machine Learning, or related field
• Strong publication record in reinforcement learning and multi-agent systems
• Experience with large language models and agent architectures
• Track record of novel contributions to AI safety and reliability
• Expertise in designing and implementing complex AI systems

The role offers flexibility with remote work options in EU time zones (East Coast US also considered) or the opportunity to work from their London office.

The package reflects the senior nature of the role, with base salaries ranging from £150,000 to £275,000 (negotiable for industry-leading researchers), plus competitive equity and comprehensive benefits.

If you're passionate about shaping the future of safe, intelligent AI agents, apply now. All applications will receive a response.

Are you interested in tackling key challenges in large (NLG) foundation models with a neuro-symbolic approach?

You’ll join as Senior Research Scientist, with a strong team taking a different approach to developing scalable, accurate and reliable AI.

Presently many companies developing large language generation models have developed solutions using only a transformer-based approach, which can solve challenges quickly but are mostly generic models, often sacrificing accuracy, creating hallucinations, bias and lacking trustworthiness.

This company is looking to change that. They are combining the latest advances in Deep Learning approaches, Transformers/LLMs with knowledge & graph based approaches and ML / Reinforcement learning.

Your role as a Senior Research Scientist will be to work on research in neuro-symbolic AI, knowledge and reasoning. You'll work closely with other researchers to drive breakthroughs in research, applying unique new approaches, solve various challenges and inspire the team to do the same. You’ll be designing & building architectures that can scale on extremely large amounts of data for the two main components of their system.

As the tech is still not super mature, you’ll have the freedom to innovate and experiment, making a true impact on the future of this product.

You’ll need a strong background in either Natural Language, with recent experience in Natural Language Generation (NLG) and LLMs at scale, including fine-tuning and/or pre-training. Or you'll have a background in reasoning (ideally symbolic reasoning). If you’ve built AI systems using GNNs and reinforcement learning or have a background in neuro-symbolic AI, you’re someone we’d love to consider.

As this is Senior level we're looking for circa 5 years in the industry, however, if you have a PhD with relevant research, we’d consider fewer years in industry roles. Research publications or patents are expected, especially those of relevance in Neuro-symbolic ai, reasoning, natural language generation or knowledge-based approaches. This company plans to start publishing papers in the future. 

You'll be in good hands as your team is made up of great minds from various well-known companies developing AI systems – applied scientists, research engineers and software engineers. The founder was the creator of the technology behind one of the most widely used conversational AI’s in the world. This is a fast-moving start-up, so it would be beneficial if you’ve worked for start-ups (or a start-up-style environment prior).

The culture here is exceptional, if you value trust, and collaboration, and are a great communicator and innovator at heart, you’ll fit right in. 

You’ll be financially remunerated with a base salary between £90,000-£120,000 (negotiable, dependent on experience). As part of your package, you’ll receive stock options, 25 days of vacation (plus public holidays), pension and more.

Whilst remote is considered for industry-leading candidates, the preference is for someone to be based out of their central London office at least 1 day per week. Visa sponsorship and relocation support can be provided if you are planning to relocate.

Apply today, or contact Marc Powell at techire ai, for immediate consideration. All candidates will get a response.