Machine Learning Engineer Jobs

Tenstorrent is seeking engineers to work at the hardware/software boundary, defining how hardware blocks are initialized, coordinated, and used by the runtime. You will determine how workloads are dispatched, scheduled, synchronized, and executed across the accelerator, solving complex performance problems through implementation, bring-up, and debugging. This role involves defining the runtime architecture and implementation that controls execution, scheduling, synchronization, and resource management across Tenstorrent’s custom processor, accelerator, memory, and data-movement IP. You will build low-level runtime components, design runtime interfaces, and analyze bottlenecks across the runtime and hardware/software stack to drive improvements in latency, throughput, scalability, and reliability.

$100k - $500k

NVIDIA is seeking a Senior Synthetic Data Engineer to join the DRIVE team and contribute to automotive innovation. This role involves collaborating with technical leaders in autonomous driving and simulation to design and develop a simulation environment that advances autonomous vehicle technology. The position focuses on creating synthetic data crucial for training deep learning models used in autonomous driving systems, enhancing the reliability and speed of vehicle development through advanced simulation techniques.

$184k - $357k

As an Embodied AI Data Scaling Intern, you will contribute to a well-defined project aimed at enhancing the scale, quality, efficiency, or reliability of data and model development for autonomous driving. You will collaborate with researchers and engineers to develop data pipelines, analyze extensive datasets, refine training workflows, or create infrastructure that boosts the number and quality of experiments the team can conduct. Potential focus areas include data curation and quality, data mining and scenario discovery, dataset and labeling pipelines, distributed training and model scaling, and ML experimentation and flywheel infrastructure.

$142k - $175k

voize

At voize, we are building AI companions to seamlessly take over digital workflows for frontline workers, giving them more time to care, connect, and be present. Our mission is to amplify human impact through technology, not replace it. Backed by significant funding and trusted by thousands of facilities and hundreds of thousands of users, we combine cutting-edge technology with meaningful social impact. We are looking for a Senior ML Engineer to join our dynamic team and contribute to our mission.

Salary not listed

Cerebras

We are seeking an ML Engineer to transition AI models from reference implementations to efficient execution on specialized AI accelerator hardware. This role involves owning the model bring-up process, developing MLIR-based lowering paths, ensuring numerical correctness, and optimizing performance across the entire stack, including the model, compiler, kernels, and runtime. The position requires a blend of practical knowledge of model architectures and strong compiler and systems engineering expertise.

Salary not listed

Capital One is seeking passionate Machine Learning Engineers to join their team and contribute to AI transformations and scaling production models. In this role, you will leverage cutting-edge open-source frameworks, advanced algorithms, and emerging technologies to solve complex business problems in a fast-paced, collaborative environment. You will have the opportunity to design, build, and deliver ML models, inform infrastructure decisions, and automate tests and deployment as part of a cross-functional Agile team.

$197k - $225k

Handshake is seeking a Machine Learning Engineer I for the Growth Relevance team to help shape the evolution of careers in the AI economy. This role will focus on developing, deploying, and enhancing machine learning systems for lifecycle optimization, personalized notifications, and monetization strategies. You will work with cutting-edge ML infrastructure, including embedding-based retrieval, Graph Neural Networks, and multi-stage rankers, contributing to critical marketplace metrics and responsible AI practices.

$150k - $189k

Luma is seeking a Research Scientist/Engineer to focus on optimizing the performance of their multimodal models. This role involves profiling and enhancing GPU, CPU, and accelerator code to ensure efficient training and scalable deployment without compromising quality. You will be responsible for writing kernels and operations that maximize hardware utilization and minimize latency, requiring deep expertise in GPU optimization, transformer internals, and low-level programming.

$195k - $395k

Expedia Group is seeking a Principal Software Development Engineer to join their ML-Powered Flight Search team. This role involves leading the architectural vision, design, and delivery of complex software solutions, driving system design, API development, and data modeling. You will guide engineering teams, integrate and operate AI/ML-enabled solutions, and optimize operational excellence. The position focuses on building a reliable, high-performance, scalable, and cost-effective platform that delivers fast and relevant flight offers across all Expedia Group points of sale, ultimately driving flight transaction growth.

$231k - $324k

As an AI & GenAI Data Scientist – Senior Manager, you will leverage advanced analytics, statistical modeling, and data visualization to help clients solve complex business problems and support data-driven decisions within our Data and Analytics Engineering practice. You will lead large workstreams, use sound judgment in ambiguous situations, coach teams through complexity, and shape clear messages that connect technical analysis to business priorities. In this role, you will guide exploratory and descriptive analysis, apply machine learning techniques to large data sources, and contribute to the development of AI and GenAI solutions that inform strategy and operational improvement.

$124k - $280k

Cerebras

Cerebras Systems is seeking a senior front-end design engineer to join the world-class team designing and developing the next generations of the Cerebras Wafer Scale Engine (WSE). This role involves deep expertise in RTL design and integration, focusing on high-performance, power-efficient, and scalable solutions. You will collaborate closely with verification, physical design, software, and system teams to bring innovative semiconductor architectures from concept to production, tackling the unique challenges of building WSE systems. The company's architecture enables industry-leading AI training and inference speeds, transforming AI applications and unlocking real-time iteration and agentic computation.

$200k - $290k

Tenstorrent is a leader in AI technology, aiming to revolutionize performance, usability, and cost-efficiency. As AI redefines computing, our solutions must integrate innovations across software models, compilers, platforms, networking, and semiconductors. We are seeking a CPU Performance Modeling Architect to evaluate, shape, and optimize future CPU architectures. This role involves using performance modeling, workload analysis, and a deep understanding of CPU architecture to address complex design questions. You will collaborate closely with CPU architects, RTL designers, software and compiler teams, and system engineers to identify performance opportunities, assess architectural trade-offs, and translate modeling insights into actionable design decisions.

$100k - $500k

Metriport is revolutionizing US healthcare by solving the critical problem of medical data exchange. We transform unusable raw data from legacy systems into a clean, unified format that care teams and their agents can use to improve patient outcomes. Our technology enables rapid data retrieval, providing clinicians with complete patient histories instantly, which can lead to earlier diagnosis and treatment. We are a technology company building every layer of our platform, from data connection and transformation to generating insights, aiming to become the essential infrastructure for US healthcare. Having secured significant funding and achieved product-market fit with millions in ARR and over 100 customers, we are poised for substantial growth.

$200k - $260k

As a CTIO - AI Engineer- Senior Manager within the Internal Firm Services practice, you will be instrumental in transforming raw data into actionable insights to drive informed decision-making and business growth. This role focuses on leveraging advanced analytics and statistical techniques to extract insights from large datasets. You will apply sound judgment, motivate and coach teams to solve complex problems, and develop diverse and inclusive teams. The role involves exploratory and descriptive analysis, statistical modeling, and creating data visualizations to address complex business challenges and inform strategic decisions. You will craft clear, impactful messages, apply systems thinking to identify underlying problems and opportunities, and validate outcomes with clients, acting on their feedback. You will also direct teams through complexity and maintain composure in challenging situations, while continuously deepening your skills to stay relevant.

$91k - $322k

ClickHouse

ClickHouse is a rapidly growing cloud company specializing in real-time analytics, data warehousing, observability, and AI workloads. The AI/ML Engineering team is responsible for building and operating the company's AI and machine learning products end-to-end, including the Agentic Data Stack, AI Functions, and in-console copilot. We are seeking experienced software engineers to design, build, and operate these cutting-edge AI products, making ClickHouse the platform of choice for agents and data scientists.

$150k - $238k

Artefact is a next-generation data service provider specializing in data consulting and data-driven digital marketing. We transform data into business impact across organizations, leveraging deep AI expertise gained from over 1000 clients globally. With 1000 employees across 20 offices, we accelerate digital transformation using state-of-the-art data technologies, agile AI methodologies, and cohesive teams of business consultants, data scientists, data engineers, and digital experts. As a Manager Data Scientist, you will lead ambitious projects focused on client transformation through data, contribute to raising the competency level of the data science team, and harness expertise from other divisions to provide comprehensive client services. You will develop strong client relationships using your technical abilities to assist in marketing department transformations and participate in international projects, with a willingness for business travel.

Salary not listed

ClickHouse

ClickHouse is a fast-growing cloud company specializing in real-time analytics, data warehousing, observability, and AI workloads. The AI/ML Engineering team is responsible for building and operating ClickHouse's AI and machine learning products end-to-end. This includes developing features for the ClickHouse Cloud platform, creating scalable APIs for AI/ML inference, and integrating with the broader AI/ML ecosystem. The team is looking for experienced software engineers to design, build, and operate products that position ClickHouse as a leading platform for agents and data scientists.

Salary not listed

Appier is seeking a Machine Learning Scientist (Modeling & Evaluation) to join the Enterprise Solution Science Team. This role focuses on helping enterprises leverage AI to achieve tangible ROI. You will be responsible for the complete development lifecycle of solutions, from initial problem definition through to driving models and solutions into production. This involves designing, developing, and deploying optimization solutions powered by machine learning models and rigorous evaluation techniques to enhance efficiency and quality.

Salary not listed

PwC is seeking a Medior Databricks Specialist to join their Data & AI Platform team. This role involves working on innovative projects that drive significant technological change for partner companies. You will contribute to building enterprise data platforms, developing predictive and machine learning models across various sectors, and integrating generative AI solutions into existing data infrastructures. This is an opportunity to learn from leading experts in Hungary, shape data and analytical operating models, and gain exposure to diverse industry challenges.

Salary not listed

Knowtex is seeking an ML Engineer / Researcher focused on Large Language Models to contribute to the next generation of their AI stack. This role involves developing and optimizing models for clinical documentation and structured clinical reasoning, aiming to enhance quality, cost, latency, and control. The position is research-heavy with a direct path to production, requiring the design of experiments, building datasets and evaluation systems, and fine-tuning and post-training models. The successful candidate will collaborate closely with engineering and clinical teams to deploy solutions at scale and will play a key role in shaping Knowtex's long-term LLM strategy.

Salary not listed

Crusoe

Crusoe is seeking a Staff Software Engineer specializing in Linux Kernel Security to strengthen the security of their AI cloud infrastructure. This role involves implementing kernel security enhancements, triaging CVEs, securing the boot path, and establishing CI guardrails. You will research vulnerabilities, advocate for secure coding practices, and conduct security-focused code reviews. The position also includes utilizing and developing security auditing tools, supporting incident response, and balancing security with system performance. A key aspect is contributing to the security of Cloud Hypervisor and advancing confidential computing primitives. This role requires close collaboration with other engineering teams and providing technical leadership and mentorship.

$215k - $260k

WorkOS is seeking a Data Engineer to join their central Data team, which is responsible for the company's internal data platform from end to end. This includes data ingestion, orchestration, the Snowflake warehouse, dbt transformations, governance, and access controls. The team also manages the consumption layer, including reverse-ETL syncs, semantic views for AI agents, reporting definitions, and visualization tooling. The role involves owning and evolving systems that move, transform, protect, and serve data, acting as the DRI for the platform and its core data models. You will partner with various teams like Product Engineering, RevOps, Finance, GTM Engineering, and Security to ensure data reliability and correctness. The position emphasizes a hands-on approach, problem-solving, automation, and collaboration within a fast-paced, agent-first operating environment.

$175k - $240k

Applied Intuition

Applied Intuition is seeking a Senior Machine Learning Engineer to advance the core reconstruction technology behind their Neural Simulation product. This role involves transforming real-world driving data into high-fidelity simulation environments, pushing the boundaries of reconstruction quality, scaling data processing, and enhancing product utility for customers training autonomy systems. The engineer will directly influence the development of next-generation autonomous vehicles for major OEMs, working at the intersection of 3D computer vision, graphics, and machine learning to bring cutting-edge research into production and solve complex simulation challenges in Physical AI.

$190k - $260k

Latitude AI, a subsidiary of Ford Motor Company, is developing the future of autonomous driving technology. We are building an in-house developed, hands-free ADAS platform that will debut in 2027. Our team comprises experts in machine learning, robotics, cloud platforms, and more, all dedicated to making transportation safer and more enjoyable. We operate with the agility of a tech startup while leveraging the resources of Ford. The Intelligent Systems team focuses on converting sensor data into understanding through computer vision and machine learning, managing both onboard sensor suites and offboard cloud infrastructure. Scaling our machine learning models with robust data and fast infrastructure is crucial for achieving optimal performance and enabling a safer future of transportation. The Scalable ML team is responsible for the data generation, orchestration, and distributed training infrastructure that empowers our ML developers to work efficiently with large datasets, bridging the gap between ML Platform, Jobs Platform, Cloud Platform, and High Performance Computing.

$253k - $380k