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.

Do you want to create AI that converses as naturally as humans do? A pioneering healthtech unicorn is building AI digital health agents designed to safely and empathetically assist patients.

As the Staff Research Scientist, you'll play a key part in making this a reality - building end-to-end foundational speech models capable of full-duplex communication. This isn't just about taking turns speaking; it's about creating AI that can listen and respond simultaneously with human-like conversation, emotions, and natural language that healthcare demands.

What you'll do

• Design and develop novel speech foundation models for healthcare conversations, working end-to-end from research through to productionizing models
• Work on post-training LLMs for speech to enhance their conversational capabilities
• Tackle unique challenges including response time optimization, maintaining alignment between text and speech outputs, and operating in noisy environments
• Create innovative approaches to synthetic conversational data generation
• Have the opportunity to publish your groundbreaking research

What you'll bring

• PhD with 8+ years in speech technologies or related field
• Experience with Speech LLMs
• Experience training large datasets
• Strong publication record at top-tier conferences in speech/multimodal AI
• Ability to implement research papers from scratch

Bonus points for

• Experience pre-training foundation models with speech (HuBERT, Wav2Vec, or similar)
• Multimodal experience
• Experience with inference technologies (vLLM, CUDA)

You'll be based in the Bay Area and will receive highly competitive comp (up to $350K base DOE) with substantial equity.

If you're excited about creating the next generation of speech AI that will revolutionize healthcare communication, click apply!

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.

Ready to drive the next breakthrough in speech AI?

This rapidly growing, well-funded tech startup is redefining speech technology with industry-leading accuracy and latency. Their voice AI platform is already outperforming established competitors while supporting languages traditionally overlooked by mainstream technologies.

With a strong client base and significant investment secured, they're now at an exciting inflection point - focusing on building proprietary speech AI systems from the ground up. This presents a rare opportunity to shape the future of multilingual speech technology.

The role

As Lead Speech Research Engineer, you'll direct the technical vision for their next phase of innovation. You'll have the freedom to make foundational architectural decisions and establish new research directions.

You'll work at the intersection of cutting-edge research and practical implementation, with the autonomy to build solutions that push the boundaries of what's possible in speech AI.

What makes this opportunity special

• You'll define research strategy rather than implementing someone else's vision
• Build something entirely new with technical freedom
• Directly influence product direction and company growth
• See your innovations impact real-world applications
• Opportunities to attend conferences and publish research in the future

What you'll do

• Shape the research vision and technical architecture for next-generation speech models
• Develop E2E speech models with proprietary solutions that push performance boundaries
• Guide a growing R&D team on novel approaches and architectural innovations
• Create systems that raise the bar for accuracy, latency, and multilingual performance
• Establish best practices for data preparation and model optimization

What you'll bring

• 8+ years of experience developing ML systems for audio applications
• Proven success building speech models end-to-end, not just fine-tuning existing ones
• Experience with large-scale model training and optimization
• 1st author publications at top-tier speech/audio conferences 
• Deep understanding of modern speech processing techniques and architectures

You'll get

• To work remotely (in EU or US Eastern timezone) or hybrid in Europe. You'll also get to meet periodically with for team gatherings in Europe.
• Salary up to €200K DOE
• Unlimited PTO and comprehensive health coverage
• Generous pension plan and lifestyle benefits

If you're passionate about pushing the boundaries of speech AI and want the freedom to build something revolutionary, this is your opportunity to make a significant impact. Get in touch today!

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.

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.