LLM Jobs

Snorkel AI is seeking a Forward Deployed Engineer specializing in Synthetic Data Generation to collaborate with leading AI labs and enterprises on critical AI initiatives. In this role, you will spearhead the technical execution of complex customer projects that leverage synthetic data to enhance model training, evaluation, and overall performance. You will be responsible for transforming vague model and data challenges into concrete data strategies, developing robust generation and evaluation pipelines, and utilizing experimentation to continuously improve data quality and downstream model results. Your work will span the entire delivery lifecycle, from initial technical discovery and solution design to implementation, evaluation, and production deployment. Additionally, you will identify common patterns across engagements to develop reusable capabilities, technical standards, and product enhancements.

$180k - $320k

Snorkel AI is seeking a Senior/Staff Forward Deployed Engineer to join their frontier AI data lab. This engineering delivery role involves translating ambiguous customer needs into production-grade data, evaluation, and ML-assisted workflows. You will own the end-to-end AI data pipeline lifecycle, developing and deploying ML-based workflows and building foundations to enhance human-in-the-loop data generation and review. This position operates at the intersection of data science, data engineering, AI engineering, and operations, partnering with the DaaS Delivery Operations team and cross-functional stakeholders to develop technical specifications, design evaluation workflows, and implement quality standards.

$180k - $320k

Machinify is a leading healthcare intelligence company that provides value, transparency, and efficiency to health plan clients. Our AI-powered platform and expertise are used by over 85 health plans, representing more than 270 million lives. We are constantly innovating to improve financial outcomes and reduce healthcare costs. As a Senior Data Engineer (Analytics), you will be responsible for transforming raw operational data into actionable insights for business leaders. This role focuses on data modeling and measurement enablement, working closely with business stakeholders to understand their needs and translate them into certified models, robust metric definitions, and user-friendly reports. You will be instrumental in unifying data from multiple platforms into a single measurement model across diverse client workflows.

$170k - $200k

SambaNova is seeking a Principal Place and Route (PnR) Engineer to join our team. This role involves developing and tuning the software that maps dataflow graphs onto SambaNova's Reconfigurable Dataflow Unit (RDU). You will work on partitioning, placement, and routing algorithms to optimize the mapping of customer workloads, including large language model inference and training, onto our hardware. Your contributions will directly impact the throughput and performance of compiled programs and will be integrated into production releases.

$0k - $1000k

Crusoe is seeking a Senior Production Engineer to join their team and ensure the reliability and scalability of their AI-optimized cloud platform. This role is crucial for building and operating managed AI services at scale, focusing on delivering highly available, performant, and cost-efficient AI infrastructure for compute-intensive, latency-sensitive workloads. The ideal candidate will have a strong background in distributed systems and hands-on experience with large language models, contributing to the future of AI infrastructure.

$170k - $205k

Distyl AI is seeking an AI Engineer to build and operate production AI systems that deliver business value within customer environments. This role is for engineers who excel in ambiguous problem spaces, take ownership of outcomes, and are eager to work directly on AI systems that must perform reliably under enterprise constraints. AI Engineers are hands-on builders who design, implement, deploy, and iterate on end-to-end AI systems in close partnership with customers, subject matter experts, and other Distyl engineers. They translate operational needs into concrete system behavior, build the necessary software and AI workflows, and continuously improve systems through evaluation, feedback, integration, and production iteration. This is a practical role focused on making AI systems work effectively in real-world scenarios with users, data, and accountability for production outcomes.

$180k - $250k

We are seeking a Senior AI Engineer to join our Engineering team. In this role, you'll design retrieval architectures, build AI-powered agents, and own production deployments that serve health insurance plans covering over 15 million people. You'll partner closely with product, data science, and clinical teams to build the foundation that transforms how clinical intelligence is delivered at scale. This is an opportunity to work at the intersection of cutting-edge AI and real-world impact, in a fast-paced, collaborative environment. This is a remote-first role that may require occasional travel for team meetings and company events.

$135k - $170k

Figma is seeking an Engineering Manager for Design Systems Adherence to lead a team focused on building workflows, tools, and feedback loops that ensure customers' design and code correctly adhere to their design systems when using Figma's Agents. This role involves enhancing context engineering for AI, improving agent architecture, and developing datasets and evaluators to measure adherence. The manager will set strategy, elevate adherence measurement standards, and translate evaluation results into actionable improvements for design quality. This is a high-impact opportunity to influence Figma's Agent capabilities and overall design quality, addressing the critical need for design and code parity and minimizing drift from defined design systems.

$258k - $376k

The Radar ML team builds the machine learning systems that power Stripe’s Radar fraud and abuse product suite. Our models make real-time decisions across a significant share of internet commerce, helping businesses stop fraud, increase authorization, and grow safely. By turning economy-scale datasets into compelling ML products, the team directly improves customer outcomes and drives meaningful revenue for Stripe. The team is growing and expanding into multiple new areas, including building abuse protections across the full customer life-cycle, adaptive and customizable fraud systems for enterprises, and risk intelligence for over 50 global payment methods. You will own major ML systems and initiatives from problem definition to production, finding where ML can make the biggest difference, designing the approach, building and shipping models and the systems around them, and continuously improving them as data, users, and attackers change. Your work may involve protecting businesses from abuse across the customer lifecycle, building adaptive and customizable fraud systems for Stripe's largest users, or extending risk intelligence to over 50 global payment methods. Across all these, you'll use modern approaches such as transformer models over payment data, graph intelligence across consumers, and LLMs to detect emerging attacks. You will have opportunities to ship 0→1 products and improve mission-critical ML models operating at Stripe scale, often driving several efforts in parallel and setting the technical bar for the team.

Databricks

Databricks is seeking an engineer to join a new, nimble team in NYC to build CustomerLake, the Customer Data Platform on Databricks. This platform aims to bring enterprise-grade ML and AI personalization to companies whose data already resides on Databricks, enabling them to power personalization, recommendations, churn, and lifetime-value modeling without an in-house ML/AI team. This is a unique opportunity to work in a 0-to-1 environment, combining startup excitement with the resources of a major tech company.

$190k - $253k

HackerRank is seeking a Senior Backend Software Development Engineer to drive the technical direction of critical backend systems and lead high-impact, platform-level initiatives. This role involves owning the architecture and evolution of core backend services, mentoring engineers, and making key technical decisions to ensure the platform remains fast, reliable, and scalable for a growing global user base. The ideal candidate will contribute to the company's mission of helping businesses hire and upskill developers based on skills, adapting to the evolving landscape where humans and AI build together.

$150k - $172k

Financial Connections is Stripe's open banking platform, enabling businesses to securely access consumer-permissioned financial data. Our platform connects to thousands of financial institutions, powering use cases from account verification to risk assessment to personal financial management. Across the Financial Connections Engineering org, we focus on delivering high-quality, enriched bank data at scale — building the ML systems that transform raw financial data into actionable signals for both internal Stripe teams and external merchants. Our ML work spans transaction categorization, risk scoring, data enrichment, and the development of intelligent systems that improve data quality across our network. We operate at the intersection of fintech infrastructure and applied machine learning, solving problems that directly impact Stripe's ability to serve millions of businesses and consumers.

The Radar ML team builds the fraud detection models that protect Stripe's $1.9 trillion payment network from fraud. The team owns over 10 real-time deep learning models that must constantly evolve to stay ahead of fraudsters. Each ML improvement translates directly into dollar impact for Stripe and its users. The team's models also power the Radar product suite that tens of thousands of businesses use to screen payments and manage fraud. In this role, you will own ML work across the full lifecycle: researching new fraud patterns, building and deploying models, and sharing results directly with top Stripe customers. You will have opportunities to optimize Stripe’s most intensive ML models, and opportunities to ship 0-to-1 products from scratch.

The Radar ML team builds the machine learning systems that power Stripe’s Radar fraud and abuse product suite. Our models make real-time decisions across a significant share of internet commerce, helping businesses stop fraud, increase authorization, and grow safely. By turning economy-scale datasets into compelling ML products, the team directly improves customer outcomes and drives meaningful revenue for Stripe. The team is growing and expanding into multiple new areas, building abuse protections across the full customer life-cycle, adaptive and customizable fraud systems for enterprises, and risk intelligence for over 50 global payment methods. You will own ML problems from conception to production, analyzing new fraud and abuse patterns, experimenting with model architectures, designing evaluations, deploying models, and monitoring performance. Your work may include developing transformer architectures for payment data, building graph-powered intelligence, leveraging LLMs to detect emerging attacks, or rapidly prototyping new protections.

Growth Platform at Stripe builds machine learning systems to help businesses discover and utilize Stripe products. These recommendations are integrated across various platforms including the Dashboard, email, onboarding, documentation, and AI agent interfaces. The team combines business understanding with models to determine the most useful recommendations, optimal timing, and effective learning from outcomes. Their work encompasses recommendation and ranking models, contextual bandits, agent-based recommendations, and the underlying data and evaluation systems, aiming to drive business growth through relevant product adoption while maintaining a positive user experience.

Stripe is seeking an AI Engineer to join the Solutions Architecture team. This role involves embedding directly with Solutions Architects to understand their workflows and build production-quality tools, agents, and automation that enhance their productivity. You will focus on high-leverage opportunities, transforming how the team operates by scaling individual solutions to organizational capabilities. The goal is to measurably improve SA productivity through accelerated engagements and transformed workflows, working at the intersection of engineering and business impact.

SpaceX is building Super Intelligence to help humanity understand the universe, developing the full Super Intelligence stack from supercomputers to large language models and applications. This role focuses on the most critical post-training and reinforcement learning challenges, including reward modeling, preference optimization (RLHF/DPO), and RL for improving reasoning, truthfulness, and real-world capabilities. You will work on cutting-edge AI problems with the ultimate goal of making life multiplanetary and expanding consciousness to the stars.

$180k - $600k

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

NVIDIA's Metropolis Synthetic Data Generation (SDG) team is seeking a Senior Software Engineer to contribute to building scalable Physical AI Digital Twin and Synthetic Data Generation solutions. This role is ideal for individuals passionate about exploring new technological frontiers and driving innovation in Physical AI, Agentic development, and Deep Learning. The team develops extensions for Isaac Sim, focusing on action and event generation.

$152k - $242k

NVIDIA's Metropolis team is advancing physical AI by building intelligent video analytics and perception solutions for smart cities, industrial automation, and autonomous systems. We are seeking a Senior ML Engineer to develop and deliver next-generation Metropolis solutions powered by Cosmos, NVIDIA's world foundation model platform. This role involves constructing production-quality AI capabilities for Metropolis by demonstrating Cosmos to address real-world perception and physical AI challenges. You will also collaborate with the Cosmos team to enhance the platform's features in line with the Metropolis product roadmap. If you are passionate about pushing generative AI, simulation, and large-scale model development forward and want your work to impact real-world systems, we encourage you to apply.

$184k - $357k