Machine Learning Engineer Jobs

NVIDIA is seeking a Senior Validation Engineer to join the DGX Server Product Engineering Team. In this role, you will collaborate with a team of hardware and software engineers to develop and implement sophisticated automated test plans for our leading GPU-accelerated computing products. You will be instrumental in ensuring the performance and reliability of cutting-edge AI hardware by developing and tuning workloads, adapting state-of-the-art AI training and inference frameworks, and applying architectural analysis to characterize workload behavior and identify bottlenecks. This position offers the opportunity to make a significant impact on the future of computing by working on AI-driven technologies.

$136k - $259k

Salesforce is seeking a highly motivated, hands-on Lead Machine Learning Engineer to define and execute the technical ML strategy for a foundation machine learning platform team. This role involves full lifecycle development and optimization of ML pipelines, with a strong focus on MLOps, infrastructure-as-code, CI/CD, and thorough monitoring. The lead will manage multiple ML pipelines, work closely with cross-functional teams, mentor others, and requires deep expertise in various ML technologies to deliver measurable business impact within a security and compliance framework. A critical component of this role is the proven ability to productize Generative AI solutions and agentic workflows to enhance the security posture and resilience for the organization and all Salesforce customers.

$173k - $260k

Figure is an AI robotics company developing autonomous general-purpose humanoid robots with the goal of shipping robots with human-level intelligence. These robots are engineered to perform a variety of tasks in both home and commercial markets. We are seeking a Reinforcement Learning Engineer to focus on the development, training, deployment, and evaluation of advanced reinforcement learning algorithms specifically for the whole-body control of our humanoid robots.

$150k - $350k

SambaNova

SambaNova is seeking a new grad ML Infrastructure Engineer to join their team. This role involves writing production Python code for the inference serving stack, including vLLM integration and public APIs. You will contribute to bringing features like speculative decoding, prompt caching, and tool calling into production on the RDU, and develop accuracy and regression tests to ensure quality before customer release.

$131k - $197k

We are seeking a Machine Learning Engineer to join our Simulation Teams, focusing on advancing end-to-end autonomous driving research. This role is crucial for accelerating our AV2.0 development by incubating next-generation world model architectures and the synthetic data they produce. You will be responsible for building, scaling, and optimizing these models, integrating them into high-throughput generation and training infrastructure. Your work will directly impact the speed at which we can train, evaluate, and deploy driving models, bridging the gap between ML research and engineering by collaborating with scientists on architecture and platform engineers on infrastructure.

Salary not listed

SambaNova

SambaNova is seeking a highly technical and strategic Project Manager / Engineering Lead to own and advance our engagement with a key strategic partner. This role will serve as the central hub for all technical, operational, and strategic activities, ensuring the technical success of joint projects, managing complex deliverables, leading a cross-functional engineering team, and deepening the customer relationship. The ideal candidate will possess a unique blend of deep technical understanding of AI/ML systems, exceptional project management skills, and strong customer-facing abilities, with fluency in both Japanese and English.

JPY 150k - JPY 200k

SambaNova

SambaNova is seeking a new grad Compiler Engineer to work on core areas of our compiler, which powers the RDU (Reconfigurable Dataflow Unit) chip. This role involves working on the compiler's IR and pass infrastructure, model lowering and partitioning, tensor tiling, memory management, and mapping operations onto the accelerator fabric. You will gain insight into how compiler decisions impact chip performance, write production code in C++ and Python, perform low-level debugging, and collaborate with runtime and hardware teams. Senior engineers will provide code reviews and mentorship.

$131k - $197k

NVIDIA is seeking a research engineer to join the Isaac team, focusing on physical AI for robotics. This role involves developing simulation tools for scientists and companies leveraging machine learning in robotics. You will bridge the gap between Isaac product engineering and NVIDIA Robotics research, transforming research concepts into product features and providing user feedback to the research loop. The team works at the intersection of simulation and machine learning, aiming to create the leading tool for evaluating robot foundation models in simulation, building on NVIDIA's expertise in photorealistic rendering and physics simulation.

$184k - $357k

Applied Intuition

Applied Intuition is seeking a Systems Engineer with strong robotics and software skills to join their autonomous trucking system team. This role involves owning requirements, architecture, and verification for various system components, translating customer needs into detailed specifications, and ensuring their implementation and testing. You will collaborate closely with software, hardware, safety, and test engineers, as well as OEM partners, to bring an L4 autonomous product to production. The position also includes leveraging and developing AI-assisted tools to automate engineering workflows.

Salary not listed

Abnormal Security

Abnormal AI is seeking a Machine Learning Engineer - I to join the Misdirected Email Detection (MED) team, which plays a critical role in preventing accidental data loss by detecting and blocking misdirected outbound emails. This is a highly applied role for engineers who thrive on building, iterating, and experimenting, focusing on developing practical, end-to-end ML solutions rather than solely on model training. You will be responsible for generating and refining features, testing hypotheses, averaging signals, and translating research ideas into production-grade systems, collaborating cross-functionally to turn customer needs into measurable product improvements. The ideal candidate combines a tinkerer's mindset with technical rigor, balancing innovation with production excellence to drive experimentation, scale solutions, and deliver reliable detection capabilities that create meaningful customer impact in real-world environments.

Salary not listed

Sieve

Sieve is a multi-modal lab focused on curating high-quality training datasets across video, audio, images, text, and 3D, aiming to solve the bottleneck in the growth of AI applications. As a perception-focused Machine Learning Engineer, you will build systems that transform raw sensor footage into training data crucial for robotics and world-model teams. This role requires a strong background in computer vision, particularly in shipping perception systems for robots, devices, or autonomous vehicles, and applying these skills to massive datasets.

Salary not listed

OpenSpace is redefining how complex projects are built using an AI-powered Visual Intelligence Platform that leverages computer vision and spatial AI to provide construction teams with a real-time view of on-site activities. This role focuses on owning core algorithms for mapping, localization, image analysis, and 3D reconstruction using real-world construction site data. The position integrates advanced computer vision with modern machine learning methodologies, utilizing classical CV, deep learning (including transformers and multi-modal models), and probabilistic modeling to deliver meaningful customer insights.

CA$168k - CA$220k

SambaNova

SambaNova is seeking a Principal Engineer to own kernel-level drivers and low-level software for high-speed IO, memory, and networking subsystems within the DataScale® platform and RDU architecture. This role is central to delivering reliable, high-performance AI systems at scale. This is a hands-on Linux kernel and device driver role; it is not an application or platform software role. You will lead software bring-up of new silicon, deliver production drivers across the IO, memory, and network data paths, and debug complex issues spanning kernel, firmware, and hardware. This role suits an engineer with deep kernel and driver expertise and strong hardware fluency, who can operate in ambiguity and execute with high ownership.

$180k - $255k

Nebius is building a full-stack AI cloud platform to support developers and enterprises from data and model training through to production deployment. As a Senior Machine Learning Engineer on the Applied AI team, you will own model and endpoint optimization from model artifacts through production deployment. Your work will span model internals, quantization, model compression, speculative decoding, KV-cache optimization, inference engines, and serving architecture to improve latency, throughput, memory efficiency, GPU utilization, and cost per token while preserving model quality and reliability. You will collaborate with kernel and platform engineers to investigate serving problems, compare configurations, and resolve performance and quality regressions, validating improvements through reproducible benchmarks and safe production rollouts.

$195k - $262k

ElevenLabs

ElevenLabs is seeking an experienced Data Engineer to join their Data team. This role involves building and scaling data pipelines, establishing best practices, ensuring data quality, and enabling self-service data access for various teams. The ideal candidate will own and streamline data pipelines from ingestion to delivery, ensuring reliability, scalability, and efficiency. They will also implement dbt best practices, data standards, and quality controls, and build self-service tooling with clear documentation to empower cross-functional teams to meet their data needs independently. A key aspect of this role will be creating AI agents to answer data-related questions for others.

Salary not listed

Nebius is building an agent-native search platform designed for AI systems, providing programmatic, low-latency search APIs for retrieving, filtering, and reasoning over real-world information at scale. As a Senior ML Engineer focused on Search Optimization, you will be instrumental in enhancing the quality of our search product across the entire stack. This applied ML and information-retrieval role involves identifying and addressing areas where search quality is lost, developing innovative approaches, and implementing them to achieve measurable improvements in production. You will work with real-world queries, large-scale search systems, and evaluation signals to boost relevance, recall, freshness, and overall result quality.

Salary not listed

Nebius is building a full-stack AI cloud platform for the global AI economy, supporting developers and enterprises from data and model training through to production deployment. We are seeking a Senior ML Engineer to join a fast-growing team focused on an agent-native search platform for AI systems. This role involves developing and deploying machine learning models for retrieval, ranking, and indexing at scale, enabling AI systems to access real-time information. It's a high-impact position on a production system operating at web search scale.

Salary not listed

Turing

This role focuses on ensuring the quality and sensitive data compliance of enterprise data as it flows through our systems. You will be responsible for building machine learning models that detect and replace sensitive information like PII, PHI, and company-identifiable data in text and image formats. This involves developing detection models, validation infrastructure, adversarial test sets, and audit processes to guarantee data integrity and de-identification performance. You will work closely with a senior ML lead, focusing on hands-on engineering with a strong QA mindset, ensuring data remains useful and secure for downstream applications.

Salary not listed

Glean is seeking a Software Engineer to help build a scalable software-based platform, including enterprise search solutions. This role involves working across distributed systems, data pipelines, APIs, and user interfaces to deliver secure, high-quality products. You will contribute to a Work AI ecosystem that powers intelligent search, an AI Assistant, and scalable AI agents, leveraging a broad range of enterprise data and flexible LLM choices. The position offers the opportunity to shape how the world works by building systems used daily across major platforms and embedding agentic capabilities into an open, extensible stack.

$215k - $279k

Anthropic

As a TPU Kernel Engineer, you will be responsible for identifying and addressing performance issues across various ML systems, including research, training, and inference. A significant part of this role involves designing and optimizing kernels specifically for the TPU. You will also provide crucial feedback to researchers regarding how model changes affect performance. The ideal candidate will have a proven history of solving large-scale systems problems and demonstrating expertise in low-level optimization.

$280k - $850k

Inworld is a research lab and inference provider focused on real-time AI for consumer-facing applications. We build first-party speech models, serve LLMs, and run the inference behind modular APIs designed for high-volume, real-time workloads. Our models and infrastructure support consumer applications across companions, healthcare, fitness, education, media, and more, serving over 10 trillion LLM tokens per month. We are looking for strong individuals from varied backgrounds who learn fast, thrive in ambiguity, and can demonstrate their experience in building, breaking, and understanding complex systems.

$250k - $300k

NVIDIA is seeking an enthusiastic and motivated Verification Engineer to verify the design and implementation of next-generation control subsystems for their leading GPUs. This role offers the chance to make a significant impact in a dynamic, technology-focused company, contributing to product lines spanning consumer graphics, self-driving cars, and artificial intelligence. You will be a key member of the ASIC Verification team, contributing to the verification of graphics and compute features within an IP, and will be responsible for IP-level verification of GPU ASICs. This includes working with specifications, developing test plans, tests, and verification infrastructure using UVM methodology, and ensuring functional and code coverage of all RTL.

Salary not listed

NVIDIA is seeking a Design Engineer to design and implement the next generation of control subsystems for GPUs. This role offers the opportunity to impact product lines ranging from consumer graphics to self-driving cars and artificial intelligence. You will be a key member of the ASIC Design team, contributing to the design and implementation of graphics and compute features within an IP, and responsible for the micro-architecture and RTL design of GPU ASICs. You will collaborate with architecture, verification, and physical design teams to deliver high-quality designs that meet performance, power, area, and timing goals.

Salary not listed

NVIDIA is seeking a Verification Engineer to join our ASIC Verification team, focusing on the design and implementation of industry-leading GPUs. This role involves verifying the ASIC design, architecture, golden models, and micro-architecture at the GPU and full-chip level using advanced verification tools and methodologies. You will build reusable components like bus functional models, traffic generators, monitors, checkers, and scoreboards, adhering to coverage-driven verification principles. The position requires understanding the design, defining verification scope, developing verification infrastructure, and ensuring design correctness, in collaboration with architects, designers, and pre/post-silicon verification teams.

Salary not listed