Fine-Tuning Jobs

Crusoe is seeking a Vice President of Product Management for its rapidly scaling Managed AI Services portfolio. Launched in late 2025, this business has already secured significant ARR commitments and is expanding to include Managed Inference, Serverless Fine Tuning, Reinforcement Learning, and Agent Sandbox. As VP, you will be responsible for the vision, strategy, execution, and roadmap of this business, reporting to the SVP of Product Management. You will lead the portfolio as a business unit, fostering strong cross-functional partnerships and aligning with Crusoe's vertically integrated cloud strategy.

$345k - $385k

Runpod is seeking a Senior Storage Engineer to join their remote-first Infrastructure team. This role is critical to the AI Developer Cloud, focusing on the design, scaling, and reliability of Runpod's multi-region storage ecosystem, which includes network volumes, local NVMe, and S3-compatible object storage. You will be responsible for implementing and maintaining distributed storage deployments, writing code and automation to manage them, and contributing to strategic decisions about future storage systems. This hands-on position requires a deep understanding of storage internals, performance tuning, and a proactive approach to problem-solving and continuous improvement, directly impacting the performance and reliability of AI workloads for over a million developers.

$180k - $260k

SpaceXAI is seeking a Member of Technical Staff to join their multimodal team and advance the understanding and generation of AI across image, video, audio, and text. This role involves working across the full stack, from data curation and pre-training to alignment, infrastructure, and end-to-end product experiences. You will collaborate with various teams to deliver cutting-edge multimodal reasoning, world modeling, tool use, agentic behaviors, and human-AI collaboration capabilities. The goal is to build models that can perceive, reason about, and interact with the world in real-time at an unprecedented level.

$180k - $440k

The Sandbox service team at SpaceXAI builds and maintains a secure, scalable system that gives our models safe, controlled access to computational environments. This infrastructure powers critical workloads across training and product, enabling models to run code, build software, interact with tools, and even control applications with user interfaces. We provision containers and virtual machines on large-scale clusters, granting models interactive control over these remote environments. Our work spans the full stack: from orchestrating massive jobs and resource scheduling at the cluster level, to fine-tuning filesystem performance on nodes. The Sandbox service enables Grok to safely run and test code in real-time for user queries, and supports reinforcement learning in training, where models interactively explore tools ranging from compilers to productivity apps.

£107k - £262k

SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. The Grok Voice Model team is building the world's best voice AI, delivering smooth, natural, low-latency spoken interactions that are expressive, multilingual, and reliable across devices and real-time scenarios. The team owns the full training pipeline, from massive data curation and premium audio processing to frontier speech-language pre-training and intensive post-training to push quality, speed, and stability to the limit. The goal is to make talking to AI feel like conversing with a charming, kind, and knowledgeable person, and exceptionally smart, execution-oriented engineers are sought to achieve this.

$150k - $450k

Anthropic

Anthropic is seeking talented individuals for its Fellows Program, focusing on AI research and engineering to ensure AI systems are reliable, interpretable, and steerable. This program provides funding and mentorship to promising technical talent, regardless of prior experience, to work on empirical projects aligned with Anthropic's research priorities. The goal is to produce public outputs, such as paper submissions, contributing to the development of safe and beneficial AI for society. Fellows will engage in full-time research for four months, with direct mentorship from Anthropic researchers and access to a shared workspace in either Berkeley, California, or London, UK. The program also offers connections to the broader AI safety and security research community.

$25k - $50k

Chanakya is Sarvam AI's specialized vertical for national security and institutions of national importance, encompassing pricing, business, product, engineering, custom-model, and vendor functions. The goal is to solve complex problems in the strategic sector, serving armed forces, intelligence agencies, financial regulators, and national policy bodies. This role offers a unique opportunity for national impact, unparalleled end-to-end learning across the full technology stack, and a clear path to leadership within emerging functions. The team has achieved product-market fit, secured significant revenue, and is undertaking large strategic projects, providing a zero-to-one journey backed by Sarvam's capabilities.

Fireworks is seeking a Member of Technical Staff for their EMEA field team. This role involves building on top of one of the world's largest inference platforms, spanning capabilities on inference and serving, tooling for fine-tuning and post-training of LLMs, and developing product features specific to the region. The ideal candidate is an excellent software engineer who prefers building product, with a strong emphasis on first principles thinking and the ability to reason about unfamiliar problems from the ground up. This is a flexible role designed for exceptional builders with 3 to 10 years of experience.

LangChain is seeking a Deployed Engineer to join their Professional Services team. In this role, you will work directly with enterprise customers to build reliable, production-ready AI agents. You will translate complex enterprise workflows into clear software specifications and guide customer engineering teams through the development process, or build the solutions yourself. Engagements can range from designing agent architectures and co-building evaluation pipelines to embedding within customer teams for extended periods to ship agent systems.

$150k - $215k

LangChain is seeking a Deployed Engineer to join their Professional Services team. This role involves working directly with enterprise customers to build reliable, production-ready AI agents. You will translate complex enterprise workflows into clear software specifications, guide customer engineering teams through the development process, or build solutions directly. Engagements can range from designing agent architectures and evaluation pipelines to embedding within customer teams for extended periods to ship agent systems. The ideal candidate has a proven track record of building real AI systems for production environments and can articulate technical trade-offs.

$150k - $215k

LangChain is seeking a Deployed Engineer to join their Professional Services team. This role involves working directly with enterprise customers to build reliable, production-ready AI agents. You will translate complex enterprise workflows into detailed software specifications and guide customer engineering teams through the solution development, or build it yourself. Engagements can range from designing agent architectures and co-building evaluation pipelines to being embedded within a customer's team for an extended period to ship agent systems. The ideal candidate has a proven track record of building and deploying real-world AI systems and can articulate technical trade-offs.

$150k - $215k

Cohere

Cohere is seeking an experienced Program Manager to join our customer-facing Program Management team, focusing on Canadian public sector and defence accounts. This role requires a deep understanding of technical program delivery, the complexities of frontier AI models, and the unique needs of government and defence organizations. You will act as the crucial link between Cohere's advanced AI capabilities and the specific requirements of Canadian federal, provincial, and defence entities. Your responsibilities will include navigating complex procurement processes, stringent security requirements, data sovereignty concerns, and regulatory compliance to ensure successful deployment and scaling of our AI solutions. You will collaborate with various internal teams, serving as the technical program lead and trusted advisor for sensitive government engagements.

$12k - $18k

Fireworks AI is seeking an AI Deployment Strategist to serve as the technical backbone for customer relationships on their fast inference platform. This hybrid technical and commercial role involves bridging customer engineering teams with Fireworks' product, engineering, and applied AI teams to ensure successful onboarding, deep technical adoption, and long-term account health for companies running large-scale production AI workloads. You will be responsible for understanding customer needs, defining success criteria, managing the end-to-end relationship from technical evaluation through production, and acting as a "product manager for the customer's problem."

Fireworks is seeking an Applied Machine Learning Engineer for the EMEA region. In this role, you will be the technical owner of customer engagements, embedding within client teams to understand their specific needs and challenges. You will be responsible for the entire lifecycle of a customer's deployment on the Fireworks platform, from initial scoping and model selection to ensuring production readiness, performance, and cost-efficiency. This position emphasizes first principles thinking and requires a deep understanding of software engineering, machine learning techniques, and infrastructure optimization.

Anthropic

Anthropic's Safeguards organization is seeking a manager to lead the research engineering team focused on biological safety. This team is responsible for developing evaluations, datasets, and classifiers to govern how AI models handle biological knowledge, ensuring they do not contribute to catastrophic harm. The role involves leading a team of research scientists and engineers in designing and running capability evaluations, curating training data for safety classifiers, and iterating on these classifiers. The manager will set the technical direction, make investment decisions, and own the team's results, while maintaining technical depth to review designs and represent the work to various partners. The core challenge is balancing robust safeguards against sophisticated actors with enabling legitimate researchers in the life sciences.

Lambda, a leader in AI cloud infrastructure, is seeking a Technical Account Manager to own the technical health of post-sales relationships for their public cloud accounts. This hands-on role involves understanding customer AI use cases, leading joint POC sessions, designing and defending architectures, and owning SLA and reliability engineering. You will build tooling to make accounts measurable, direct technical escalations, and serve as the technical voice of the customer within Lambda. The ideal candidate will have a deep understanding of GPU infrastructure and AI/ML workloads, with a proven ability to lead structured technical engagements and communicate complex technical content effectively.

Anthropic

Anthropic's production models undergo sophisticated post-training processes to enhance their capabilities, alignment, and safety. As a Research Engineer on our Post-Training team, you'll train our base models through the complete post-training stack to deliver the production Claude models that users interact with. You'll work at the intersection of cutting-edge research and production engineering, implementing, scaling, and improving post-training techniques like Constitutional AI, RLHF, and other alignment methodologies. Your work will directly impact the quality, safety, and capabilities of our production models. Note: For this role, we conduct all interviews in Python. This role may require responding to incidents on short-notice, including on weekends.

Anthropic

Anthropic's Safeguards organization is responsible for developing policies, evaluations, and enforcement systems to define and manage the limits of Claude's usage. In this leadership role, you will manage the policy design team, overseeing areas such as radicalization, child safety, user well-being, harmful manipulation, and election integrity. Your team will focus on understanding and defining the risks associated with Claude, how they manifest in the real world, and the necessary mitigations. You will collaborate with research, product, and engineering teams to establish boundaries and implement interventions, ensuring safety measures evolve with model capabilities and user behaviors. This role requires a blend of expertise in harm areas and an understanding of frontier AI model development and deployment, with a strong emphasis on cross-functional collaboration and team development.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to ensure AI is safe and beneficial for society. As a Research Engineer on the Alignment Science team in London, you will design and execute machine learning experiments to understand and steer the behavior of advanced AI systems. You will focus on AI safety, particularly risks from future human-level AI systems, collaborating with teams like Interpretability and Frontier Red Team. The role involves exploratory research in areas such as AI Control and Alignment Stress-testing, aiming to make AI helpful, honest, and harmless.

Abridge

Abridge is seeking a Product Lead to drive the strategy for its foundational models and post-training efforts. This role sits at the intersection of model science, platform strategy, and clinical product delivery, focusing on leveraging Abridge's unique corpus of clinical conversations and clinician feedback to enhance model capabilities. You will own the product strategy, connecting research initiatives to tangible product outcomes, and determining where in-house models offer a competitive advantage. The ideal candidate will have a deep understanding of the modern model-development lifecycle and the technical judgment to collaborate effectively with scientists and engineers, while always anchoring the work in clinician value, patient safety, and business impact.