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.

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

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 be based in the US – ideally in Seattle, or Miami. Remote is considered for exceptional candidates.

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.

Are you interested in joining one of Europe’s most innovative (and ambitious) Deep Tech Product companies?

You’ll join as Principal/Staff 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 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 and more traditional approaches such as neural networks such as GNNs and ML / Reinforcement learning.

Your role as a Principal / Staff Research Scientist will be to drive the research direction, breakthroughs in research 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.

Your work will bring the best of Deep Learning, Machine Learning and Symbolic models to solve one of the biggest challenges in Natural Language Generation. 

You’ll have the freedom to innovate and experiment with various approaches combining the SOTA and traditional approaches. You’ll be a product visionary and you’ll see your research be applied to this product

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

As this is Principal or Staff level, we’re ideally looking for at least 5-10+ years in the industry, if you have a PhD with relevant research, we’d consider fewer years in industry roles. This seniority is important, as you'll be inspiring and coaching some of the team. Whilst your immediate impact will be as an IC, there is potential opportunities to leadership, if you wish to take that route, or you can continue to excel as an IC here too!

Research publications or patents are expected, especially those of relevance to Natural language. This company plans to publish papers and you’ll play a key part in this.

Desirable experience includes Knowledge graphs, Graph ML, GNNs or developed foundational models from scratch.

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 $190,000 - $260,000 (negotiable). 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.

For transparency, the interview process is as follows:

1 – Intro call with the recruiter (Marc Powell at techire ai).

2 – Technical discussion.

3 – Mixed interview session and meeting the team – topics on research (some prior prep required, you’ll discuss a research paper during the interview), coding and values.

4 – Meeting with the Founder.

We aim to complete the interview process within a few weeks, we can move faster if you have availability.

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