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.

The future of communication should be bias and barrier-free. That's the vision behind this well-funded start-up pioneering real-time speech algorithms.
 
You'll join a research team on tech that is the first of its kind, improving how we communicate in the real world. By offering clear, natural-sounding conversations regardless of accent or environment. Their ground-breaking technology is already providing impressive results, so it's no wonder they're growing x4 annually.
 
They are creating the whitespace in speech research, and you'll play a key role.
 
As an Senior ML Scientist, you'll work within a talented R&D team advancing core speech algorithms and audio AI models.
 
The role
 
- Contribute to cutting-edge R&D advancing core speech algorithms and Generative Audio models. Continually push boundaries to the next level.
- Tackle unsolved problems in Generative Speech and Audio such as preserving naturalness and performance in noisy environments.
- End-to-end ownership of models, from data collection to training on the cloud.
- Develop novel architectures balancing cutting-edge performance with real-time efficiency & low-latency
- Collaborate with top scientists in this field 
 
You'll have
 
- 4+ years of industry experience developing and implementing either of the following: TTS, Voice Conversion/Cloning, Speech Synthesis, Speech Translation, Accent Translation, Speech Restoration
- Proven background contributing to well-known research publications and/or products in these areas
- PhD or degree in Computer Science, ML, or related field. 
- Proven experience with PyTorch, TensorFlow and modern DL techniques such as GANs, VAEs, diffusion or flow models, etc.
- Familiar with cloud-based technologies and production environments
 
What you'll get in return
 
- Benefits include a competitive salary, share options, unlimited PTO health coverage, and a VPO plan.
- Contributing to whitespace in speech technology research, you'll have control over the direction of your work with no friction whatsoever. You're the expert after all.
 
If you're looking to make an impact, there are few better places to do it. Your work here has the power to improve communication, eliminate confusion, and create a more connected world.
 
If you want the freedom to shape the future of speech AI, apply now.

Pioneer the future of visual AI creation

Looking to shape how millions experience generative visual content? A fast-growing AI startup seeks you, a vision generation researcher to advance their agentic approach to image and video synthesis technology.

This innovative team has already launched a successful product in the visual creativity space and is now expanding their research capabilities to drive the next phase of development.

Your expertise The ideal candidate brings research depth in at least one key area:

• Advanced image synthesis - Creating high-fidelity visuals, exploring 3D neural rendering, or developing large vision models
• Next-generation video AI - Building systems for fluid motion generation, temporal consistency, or efficient video creation pipelines
• Cross-modal integration - Connecting visual generation with text, audio, or other input modalities

You thrive on implementing and improving state-of-the-art techniques, whether working with diffusion models, adversarial networks, or transformer-based architectures. Your technical foundation is matched by your creativity in pushing these technologies to new horizons.

Your impact You'll conduct foundational research that directly shapes product development, bridging the gap between academic innovation and real-world applications. Your work will enhance a platform already reaching a substantial user base, influencing how people interact with AI-generated visual content.

Your environment You'll collaborate with a close-knit, passionate team that values both technical excellence and creative vision.

Your package

• Competitive salary: $200,000-$225,000 (negotiable based on experience)
• Equity package
• Comprehensive healthcare benefits
• Additional perks and flexible work arrangements

Based in New York City with a hybrid work model, though remote arrangements will be considered for exceptional candidates.

Ready to transform the landscape of creative visual AI? Contact Marc Powell at techire.ai for a confidential discussion or submit your application today.

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.

A fast-growing AI audio startup is looking for a Lead Researcher to spearhead their next breakthrough: a text-to-music platform with advanced vocal synthesis capabilities. With over 5M active users and backing from music industry legends, they've proven their ability to deliver impactful AI audio tools at scale while generating substantial revenue.

Building on their commitment to ethically sourced and licensed data, this is a unique chance to lead the technical direction of a new proprietary platform from the ground up. You'll join a small but experienced team where you'll have true ownership and autonomy, with millions of existing users ready to adopt your innovations.

Core focus:

• Lead the development of large-scale generative text-to-music models with advanced vocal synthesis
• Pioneer novel approaches in AI singing and voice synthesis
• Drive technical strategy and research direction
• Build and lead the research team as it grows

Requirements:

• Experience with large diffusion or autoregressive generative music model training
• Experience with SOTA music generation techniques
• Experience with vocal synthesis is a plus!

The role offers:

• Comp DOE €130-€200k plus equity
• Fully remote (overlap with 9am-2pm PST required)
• Direct collaboration with the Co-Founders

If you're excited about building ethical, industry-changing technology with immediate real-world impact, we'd love to hear from you.