Fine-Tuning Jobs

SpaceXSI is building Super Intelligence to help humanity understand the universe, and you will join the multimodal team to push toward superhuman multimodal intelligence. This role involves advancing understanding and generation across modalities—image, video, audio, and text—spanning the full stack from data curation to end-to-end product experiences. You will collaborate cross-functionally to deliver frontier capabilities in multimodal reasoning, world modeling, tool use, agentic behaviors, and interactive human-AI collaboration, contributing to models that can see, hear, reason about, and interact with the world in real time.

$180k - $440k

Glean is seeking Machine Learning Engineers to join the Enterprise Brain team, focusing on building proactive AI products that revolutionize enterprise workflows by automating tasks and enhancing user productivity. This role involves leveraging deep user understanding and state-of-the-art enterprise graphs, utilizing LLMs, advanced ML techniques, agent orchestration, and cutting-edge ranking methods. You will contribute to a secure, open platform that redefines how enterprises find, use, and act on knowledge, with a focus on enterprise trust and scalability.

$200k - $280k

Moveworks is seeking a Senior Staff ML Engineer to join our AI Safeguards team. In this role, you will be instrumental in designing, building, and shipping critical safeguards within our agent harness. Your work will focus on protecting against prompt injection, single and multi-turn jailbreaks, toxicity, sensitive topics, and sensitive data exposure. You will develop robust evaluation frameworks to measure the efficacy of these safeguards, addressing both false positives and false negatives using diverse datasets. Collaboration with our Security team will be key, translating their findings into actionable eval cases and fixes, and co-developing mitigations. You will also select, integrate, and fine-tune detection models within a shared stack serving both commercial and government environments, while carefully balancing quality, latency, and cost for controls operating in the request path. Additionally, you will build configurable safeguard policies to empower customers in managing sensitive topics and monitor safeguard behavior in production, addressing any regressions.

Conveo.ai is a rapidly growing Y Combinator-backed company seeking a Senior Product Engineer to join its small, impactful engineering team. This role offers the unique opportunity to shape the company's future and own the full product development lifecycle, from customer problem identification to shipping working software. You will report directly to an engineering lead and collaborate closely with the CTO. Conveo is building an AI research platform that enables fast, affordable, and high-quality consumer and B2B research, used by global brands like Unilever and Google to help companies better understand their customers.

$180k - $225k

Databricks

The AI Forward Deployed Engineering (AI FDE) team at Databricks is a specialized customer-facing AI team focused on building and productionizing first-of-its-kind AI applications. This role is for experienced engineers who excel at working with customers and teammates, and who are passionate about the latest trends in Generative AI, LLMOps, and Machine Learning. You will collaborate cross-functionally with engineering and product teams to shape strategic priorities and initiatives, acting as a trusted technical advisor to customers across various domains.

$182k - $250k

The CRAFT (Capabilities, Routing, Adaptation & Fine-Tuning) team at CoreWeave is focused on developing tools that enable AI agents to learn from experience, a crucial step towards autonomous long-task execution. The team has already released innovative projects like ART for RL, RULER for reward functions, and Serverless RL for infrastructure management. They are now tackling remaining challenges in agent training, such as reducing human labor in environment creation and improving data efficiency. This role offers a significant opportunity to contribute to hard-tech advancements in a rapidly growing market, with the potential to shape the future of self-improving AI agents.

$182k - $242k

As an AI Engineer at CoreWeave, you will design, build, and operate systems that engineers rely on during real customer incidents. This role involves defining the balance between deterministic and AI systems, owning agent logic, retrieval mechanisms, safeguards against bad information, and performance measurement. You will have full ownership of your services from development through production, working closely with the engineers who will use your creations.

$143k - $210k

As an AI engineer on the CRAFT team, you will bring research into production and build products across our roadmap, including tools for agent evaluation and continuous improvement. You’ll own features from the user experience through backend services and model integrations. You’ll turn research in post-training and model evaluation into products that help customers understand and improve their models. We’re looking for strong product instincts to translate research methods into intuitive workflows and delightful user experiences. You’ll work closely with researchers and customers to define problems, make practical tradeoffs, and deliver products in an evolving space. CRAFT is a small team with significant autonomy over our roadmap and priorities.

$182k - $242k

Turing's mission is to accelerate superintelligence to drive real economic progress. The company works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks. Turing also partners with Fortune 500 enterprises to build and deploy end-to-end agentic AI systems within mission-critical workflows. This role involves leading the Turing Enterprise AI Platform technical team, which is being built out for a late 2025 SDK release and a Q1 2027 tenant onboarding. The goal is to grow the team to eight to ten members and collaborate with the Chief AI Architect on client-facing architecture and evaluation.

You'll join the Grok Voice Model team as a software engineer. You'll design, build, and run the software systems behind Grok Voice, which delivers natural, low-latency, multilingual spoken interactions across devices and in real time. The team owns the full engineering stack behind the model, from large-scale data processing to distributed training to production deployment.

$150k - $450k

Accenture

As an experienced AI/LLM Architect, you will be at the heart of designing and building advanced AI systems that power the modern enterprise. A critical dimension of this role is owning the design of a comprehensive AI context layer—drawing on enterprise knowledge bases, structured and unstructured data sources, and domain-specific content—to ground AI systems in the realities of each client's business and ensure outputs are accurate, trustworthy, and impactful. As the technical authority on your domains, you will lead architecture decisions and be accountable for ensuring systems meet rigorous non-functional requirements across security, observability, governance, performance, and scalability. Your contributions will be instrumental in shaping how clients adopt and scale AI, pushing the boundaries of what these systems can achieve and delivering measurable, lasting business value.

Accenture

Accenture is seeking a Senior LLM Model Developer to join their AI & Data team, focusing on the Search Analytics - Internal Consulting project. This role involves enhancing Large Language Models through instruction fine-tuning and domain adaptation to improve their relevance and performance in specific contexts. You will collaborate with cross-functional teams, provide technical guidance, and contribute to innovative approaches in LLM development.

Liquid AI, a rapidly scaling company spun out of MIT CSAIL, is seeking an Applied ML professional to join their team. This role offers a unique opportunity to apply advanced sequential recommendation architectures to real-world enterprise problems at scale. You will be responsible for the end-to-end applied ML work for recommendation system workloads, adapting large-scale models for customers requiring efficient personalization and ranking capabilities under production constraints. This position provides full ownership over model adaptation, evaluation, and deployment, differing from more siloed recommendation roles. You will also contribute to building reusable tooling and workflows to accelerate future projects, making this an ideal role for those passionate about data quality, user behavior modeling, and implementing effective enterprise recommendation systems.

Anduril Industries is seeking a backend software engineer to own and evolve their internal LLM agent framework. This role is crucial for integrating generative AI systems into the Lattice software platform, enhancing autonomy and reducing cognitive load for users. The engineer will build the platform that enables teams across Anduril to develop, evaluate, and deploy reliable LLM agents in mission-critical environments, working at the intersection of backend infrastructure, applied AI, agent architecture, model post-training, and evaluation tooling.

$220k - $292k

Together AI

We are seeking a software engineer with a strong focus on reliability to manage the production operations of our Kubernetes-native control plane, which provisions and runs our GPU inference fleet. This platform team develops the API and controllers that enable the inference team to define their needs, such as clusters, model deployments, or capacity changes, and ensures these are reconciled. Your role will be to maintain this functionality in the real world by troubleshooting issues like InfiniBand problems, diagnosing serving faults, and enhancing our automated self-healing systems to permanently resolve recurring failures. The primary goal is to ensure the decoupling remains effective even during disruptions and to maintain fleet efficiency without introducing new instabilities. You will be responsible for inference serving SLOs and error budgets, leading incident response, and implementing lessons learned from postmortems into system changes. Additionally, you will address the reliability aspects of capacity efficiency, recognizing that misconfigured defragmentation or bin-packing can pose production risks. We value candidates with hands-on production reliability experience in large-scale distributed or GPU-serving systems, proficiency in troubleshooting InfiniBand/RDMA and Kubernetes controller-based platforms, and a software engineering approach to GPU infrastructure.

$250k - $320k

Together AI

We are seeking a reliability-minded software engineer to manage the production operations of our Kubernetes-native control plane, which provisions and runs our GPU inference fleet. This platform team develops the manifest-driven API and controllers that enable the inference team to define their needs, such as cluster configurations, model deployments, and capacity adjustments, and ensures these are reconciled. Your role will be to maintain the reliability of this system in production, addressing issues like InfiniBand problems during node communication, diagnosing faults in hero-model and LoRA serving that generic health checks miss, and enhancing automated self-healing to permanently resolve recurring failure modes. The primary goal is to ensure the decoupling remains effective even during failures and to maintain fleet efficiency without introducing new instabilities. You will be responsible for inference serving SLOs and error budgets, leading incident response, and implementing systemic fixes based on postmortem analyses. Additionally, you will contribute to the reliability aspects of capacity efficiency, recognizing that misconfigured defragmentation or bin-packing can pose production risks. We value candidates with hands-on production reliability experience in large-scale distributed or GPU-serving systems, proficiency in troubleshooting InfiniBand/RDMA and Kubernetes controller/CRD-based platforms, and a software engineering approach to GPU infrastructure and its supporting tools.

$160k - $280k

Figma is seeking applied scientists with a Machine Learning and Artificial Intelligence background to build AI technologies and enhance Figma products. The role involves driving fundamental and applied research, combining industry best practices with a first-principles approach to design and build AI/ML models and systems. This is a full-time position that can be based in one of our US hubs or remotely within the United States.

$153k - $376k

Databricks

Databricks is seeking an AI Forward Deployed Engineering (AI FDE) professional to join a specialized customer-facing AI team. This role involves delivering professional services to help customers build and productionize AI applications, working cross-functionally with engineering and product teams. The ideal candidate is passionate about customer engagement, collaboration, and staying current with GenAI and LLMOps trends. This position can be remote, but requires periodic on-site work in the Washington, D.C., Maryland, or Virginia metropolitan area.

$182k - $250k

Databricks

Databricks is seeking a PhD GenAI Research Scientist Intern to join their Mosaic AI organization. This role focuses on pushing the frontier of domain adaptation for Large Language Models (LLMs) and AI systems, enabling them to work effectively within custom enterprise domains. You will tackle open research problems related to scaling and automating evaluation, fine-tuning with synthetic data, retrieval augmentation, and efficient inference. The intern will collaborate with the research team on projects involving adapting, improving, and evaluating existing methods, designing novel domain adaptation techniques, and composing multiple methods for efficient post-training.

$0k - $0k

Scale AI

As a Forward Deployed AI Engineering Manager on the Enterprise team, you will serve as the technical bridge between Scale AI's advanced AI capabilities and strategic customers. This management role requires a blend of deep engineering and AI expertise, team leadership, and customer-facing problem-solving. You will collaborate with enterprise clients to understand their unique challenges, lead a team in architecting specific AI solutions, and ensure the successful deployment and adoption of AI systems within their production environments. You will work directly with customer engineering teams to integrate AI into their critical workflows.

$227k - $325k