Fine-tuning

Opus Clip

Mountain View, CA · $280,000 – $380,000

OpusClip seeks a hands-on AI researcher to lead the development and optimization of machine learning models powering their video platform, from training through production deployment. This role combines deep technical expertise in model training and inference optimization with team leadership, suited for someone who has shipped AI systems at scale and enjoys both individual technical contribution and mentoring.

Listed on Opus Clip’s careers site · Apply there ↗

AssemblyAI

Full-time · Remote · $270,000 – $310,000

Join AssemblyAI's research team to develop and improve foundational speech AI models that power billions of user experiences globally. This role suits researchers who want hands-on ownership of the full ML pipeline—from data quality and model training through production deployment—without bureaucratic friction.

Listed on AssemblyAI’s careers site · Apply there ↗

Plug n Play Portfolio

Full-time · New York, NY · $200,000 – $235,000 · Remote

EvolutionIQ is seeking an experienced engineer to lead the development of AI and machine learning systems for their insurance claims product, focusing on large language models, retrieval-augmented generation, and hybrid machine learning approaches. This role suits someone with 5+ years of Python experience, proven success shipping LLM-powered products, and the technical leadership skills to drive complex projects from conception through production deployment.

Listed on Plug n Play Portfolio’s careers site · Apply there ↗

Descript

San Francisco, CA · $197,000 – $262,500 · Remote

This is a research scientist role focused on building multimodal AI systems that help an editing agent understand video and audio content the way human editors do. The role suits someone with a strong deep learning background who wants to work on specialized models that ship to production, from research concept through to features used by millions of creators.

Listed on Descript’s careers site · Apply there ↗

LangChain

New York, NY · $240,000 – $280,000

This role involves improving LangChain's LangSmith Engine—an AI agent that learns from production failures and recommends fixes—by designing benchmarks, running experiments, and shipping improvements that balance performance with cost and latency. It suits experienced ML researchers who can work from prototype to production impact and understand both agent capabilities and real-world system tradeoffs.

Listed on LangChain’s careers site · Apply there ↗

Beckman Coulter

Full-time · Remote · $185,000 – $200,000

This role designs and deploys AI solutions for legal and compliance work across a large biotechnology company, bridging software engineering and legal operations. It suits engineers with production AI experience who want to apply machine learning to enterprise legal problems and can translate between technical and non-technical stakeholders.

Listed on Beckman Coulter’s careers site · Apply there ↗

American International Group

Atlanta, GA

AIG is building a new Generative AI team and seeks a Data Scientist to lead the development of enterprise-scale LLM and ML solutions for insurance applications. This role suits someone with deep production experience in generative AI who wants to drive technical decisions on high-impact projects in a fast-paced environment.

Listed on American International Group’s careers site · Apply there ↗

SAP

Full-time · Potsdam, DE, 14469

Design and lead the AI infrastructure for a distributed platform enabling foundation model training and deployment across enterprises. This role suits architects with deep expertise in large-scale ML systems who can bridge research, product, and engineering teams while navigating complex federated environments.

Listed on SAP’s careers site · Apply there ↗

Bristol Myers Squibb

Full-time · Princeton, NJ · $153,770 – $186,327

This senior-level data engineering role focuses on building and optimizing data platforms for clinical trial operations at a pharmaceutical company. The position requires deep expertise in cloud platforms, generative AI, and pharma domain knowledge to deliver scalable data solutions across research and development teams.

Listed on Bristol Myers Squibb’s careers site · Apply there ↗

Accenture

This role involves designing end-to-end architectures for production AI systems across multiple client engagements, balancing technical, cost, and business requirements. It suits senior AI engineers with hands-on experience in generative AI and MLOps who want to move into architectural leadership while mentoring teams and shaping platform practices.

Listed on Accenture’s careers site · Apply there ↗