Machine Learning Engineer Jobs

NVIDIA is seeking a Performance Software Intern for Deep Learning Libraries. This role involves developing optimized code to accelerate linear algebra and deep learning operations on NVIDIA GPUs, contributing to the foundational software that powers AI advancements. The intern will focus on achieving peak GPU efficiency for current and future GPU generations, working with code at a low level, close to the GPU hardware. The team's work is exemplified by the open-source CUTLASS project, which demonstrates performant matrix multiplication on NVIDIA's Tensor Cores using CUDA.

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This role focuses on industrializing AI delivery by building automated deployment, evaluation, observability, and reliability engineering processes. You will be instrumental in creating robust CI/CD pipelines for AI services, prompts, agent configurations, and infrastructure. The position involves automating environment provisioning, testing, deployment, and rollback procedures, as well as implementing comprehensive monitoring, alerting, and operational dashboards for AI models and agents. A key aspect will be operationalizing evaluation thresholds, incident handling, and continuous improvement loops to ensure the reliability and efficiency of AI systems.

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Join a team that unifies data and analytics talent across Chase to build competitive advantages for our businesses. As a Quant Analytics Senior Associate within the MLIO Analytics team, you will play a key role in optimizing Conversational Insights and Insights for Coaching products. You will span the entire problem-solving lifecycle, including identifying gaps through thorough analyses, conducting root cause analyses using causal inference and machine learning techniques, and identifying opportunities to enable customer self-service across various Chase customer engagement channels.

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WorldQuant is seeking an exceptional senior-level Python engineer to join a small team focused on complex data pipelines, AI/ML systems, and cutting-edge software solutions. This role involves managing technical objectives, providing technical leadership, and maintaining a hands-on development approach. The ideal candidate will collaborate across teams within the business-facing technology organization. The position requires deep expertise in Python development, data engineering, software architecture, and design principles, with the ability to mentor junior team members, conduct code reviews, and drive architectural decisions. Experience with AI and large language models (LLMs) is highly desirable.

$175k - $250k

Join a team applying modern artificial intelligence and machine learning to high-impact, high-scale payments workflows. You will work with large datasets and complex operational processes to deliver measurable outcomes, building production-grade solutions spanning natural language processing, document understanding, and LLM-enabled applications. You will collaborate closely with business and technology partners to take ideas from concept to deployment, helping to raise engineering standards and mentor others while shipping real solutions. As an Applied AI/ML Lead, you will build and deliver enterprise AI/ML solutions that improve operational efficiency and decisioning, partnering with senior stakeholders to frame problems, define success metrics, and plan roadmaps. You will design, implement, and deploy production services on Amazon Web Services (AWS) with strong engineering rigor, establishing model governance, monitoring, and responsible AI practices.

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Mastercard Foundry R&D is seeking a Principal Data Engineer to design and build the data foundations for advanced analytics, machine learning, generative AI, and agentic AI solutions. This role involves transforming R&D objectives into secure, scalable, and production-ready data systems, collaborating with cross-functional teams to create reusable data capabilities that accelerate innovation. You will be a hands-on technical leader responsible for the architecture, design, and engineering of scalable data platforms, ensuring reliability, performance, and cost efficiency.

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Capital One is seeking passionate Machine Learning Engineers to join their Enterprise Platforms Technology team. This role involves leveraging cutting-edge open-source frameworks, advanced algorithms, and emerging technologies to drive AI transformations and scale production models. You will collaborate with Product and Data Science teams to design, build, and deliver ML models that solve real-world business problems. The position requires a strong understanding of ML infrastructure, modeling techniques, and the ability to write and test application code, automate deployments, and ensure responsible AI practices.

$197k - $225k

Handshake is seeking a Member of Technical Staff, Post-Training to help define and build a new organization focused on advancing the AI economy by organizing expert human knowledge. This role involves working directly with frontier labs on data, evaluation, and post-training challenges, building systems that transform expert knowledge into data and evaluations to improve frontier models. You will partner with researchers, domain experts, and customers to translate ambiguous post-training questions into experiments, evaluation frameworks, data pipelines, and products. As an early member, you will have significant influence over the technical direction, operating culture, and reusable systems built.

$200k - $350k

Join a team applying modern artificial intelligence and machine learning to high-impact, high-scale payments workflows. You will work with large datasets and complex operational processes to deliver measurable outcomes, building production-grade solutions spanning natural language processing, document understanding, and LLM-enabled applications. You will collaborate closely with business and technology partners to take ideas from concept to deployment, while also raising engineering standards and mentoring others. As a Vice President in the Wholesale Payments Operations team, you will build and deliver enterprise AI/ML solutions that improve operational efficiency and decisioning, partnering with senior stakeholders to frame problems, define success metrics, and plan roadmaps. You will design, implement, and deploy production services on Amazon Web Services (AWS) with strong engineering rigor, establishing model governance, monitoring, and responsible AI practices. The role focuses on building scalable AI/ML capabilities for operations use cases, including document processing and workflow automation, contributing to reusable platforms and patterns.

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OpenAI

The Monetization team is a new cross-functional group focused on building foundational systems to responsibly scale access to intelligence. Our mission is to develop user-first, privacy-preserving monetization products, including next-generation ads experiences, that strengthen user trust, unlock economic opportunity, and support OpenAI's long-term innovation. This role operates in a greenfield environment, moving quickly through prototyping, experimentation, and iterative deployment, partnering closely with Product, Design, and Research to bring research breakthroughs into real-world systems at global scale. As a Research Engineer, you will contribute to deploying state-of-the-art models in production environments, helping turn research breakthroughs into tangible solutions and making AI technology accessible and impactful.

$381k - $555k

Applied Intuition

The Axion Data team at Applied Intuition is building the data engine to train perception models. This role involves working on both the edge application that runs perception stacks and the cloud data engine that ingests video data for model improvement. The goal is to optimize model performance on edge and cloud, and build MLOps tooling for pipeline visibility. This position offers an opportunity to own and impact a new product team within a rapidly growing company.

$200k - $275k

Hugging Face is seeking a Senior Open-Source Python Engineer to join their Applications team. This role focuses on building and maintaining tooling that empowers developers to create machine learning applications using Hugging Face's platform primitives. You will be instrumental in shaping the future of libraries like Gradio, Trackio, and FastRTC, taking projects from early stages to widespread adoption. This is a dynamic role for someone comfortable with evolving challenges and passionate about making machine learning accessible to a broad audience.

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Applied Intuition

Applied Intuition is seeking a Software Engineer to join their team and contribute to powering the future of physical AI. This role involves constructing optimized data pipelines for ML models and evolving the data engine architecture to scale high-fidelity labels, reduce annotation costs, and accelerate ML iteration cycles. You will also integrate foundation models like LLMs and VLMs to automate and enhance labeling, quality assurance, and data discovery, while leveraging software-in-the-loop and hardware-in-the-loop testing. Additionally, you will interact with customers to understand their use cases and triage needs during field events.

$200k - $275k

Join JPMorganChase's Machine Learning Center of Excellence as a Lead Software Engineer, contributing to the Artificial Intelligence and Machine Learning Data Platforms team. You will be a key member of an agile team, responsible for designing and delivering market-leading technology products securely, stably, and at scale. This role involves implementing critical technology solutions across various technical areas to support business objectives, collaborating with experts in machine learning, deep learning, and reinforcement learning.

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Applied Intuition

Applied Intuition is seeking a Systems Engineer to join their team and play a critical role in defining system requirements, designing architectures, and integrating the company's technology onto autonomous vehicles and defense systems. This role blends systems engineering, robotics, software deployment, architecture, integration, and real-world testing. You will work in both office and field environments, dedicating significant time to deploying, testing, and validating software on autonomous systems in dynamic, operationally relevant settings. Collaboration with software engineers, autonomy engineers, perception teams, data scientists, and field operators will be key to ensuring systems are robust, reliable, and ready for deployment.

$140k - $180k

Join a fast-moving technology team building a business observability platform for the Payments business. This platform serves as an analytics foundation enabling AI-assisted decision-making for senior leaders and real-time monitoring and alerting for operations teams. The role will contribute to delivering intraday transaction insights, anomaly detection, forecasting, and conversational analytics, all supported by a governed metrics foundation. As a Data Scientist Senior Associate, you will be responsible for the analytical integrity of the team's deliverables, validating data behind key metrics, defining model correctness, and ensuring the trustworthiness of anomaly detection and forecasting outputs in production. You will collaborate closely with product, engineering, and design teams to influence the product roadmap and effectively communicate value to stakeholders.

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Applied Intuition

Applied Intuition is building a robot learning platform to enable any robot to learn industrial tasks and continuously improve. The robotics team develops this platform and uses it to deliver robot autonomy on customer lines, training, evaluating, and deploying policies on real robots performing industrial tasks. This role involves hands-on work with hardware, seeing your contributions reach customers, and working on manipulation policies from task definition to reliable execution on a physical robot. You will train and fine-tune policies, diagnose failures, and ensure their dependability for customer use, with success measured on the robot itself.

$150k - $300k

Databricks

Databricks is seeking a Staff Engineer to join the Customer Engagement and Docs platform team, focusing on enhancing customer support through AI and Large Language Models (LLMs). This role operates at the intersection of Product development and Machine Learning, aiming to help customers resolve issues faster by providing precise solutions or facilitating seamless escalations. You will gain a deep understanding of user behavior, identify problem drivers, and leverage ML and LLMs to analyze complex technical use cases within an enterprise environment, ultimately guiding them towards resolution.

$190k - $260k

Databricks

The Applied AI team at Databricks is at the forefront of advancing GenAI-powered products, having launched Databricks Assistant, AI/BI Genie, and Agent Bricks. These products are used by hundreds of thousands of users daily, tackling challenging problems like code suggestion, text-to-sql generation, and knowledge QA. As GenAI products evolve, we are seeking engineers to drive the next phase of development, focusing on enhancing LLM quality, expanding GenAI capabilities, and strengthening platform architecture for AI interactions at scale.

$190k - $285k

Databricks

The Applied AI team at Databricks is at the forefront of advancing AI/ML-powered products, focusing on enhancing search quality for customers who interact with millions of assets on the platform. In 2025, the team will concentrate on improving search ranking, query understanding, building robust evaluation frameworks, and expanding asset coverage to ensure seamless search at scale. This role offers the opportunity to shape the future of AI-driven products at Databricks, work with cutting-edge models, and collaborate with a world-class team of AI and ML experts.

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Netomi is seeking a highly analytical and detail-oriented Data Engineer II to join the Analytics team. This role involves working closely with data science, product, engineering, and customer success teams to drive complex data and trend analyses, propose improvements, and contribute to enhancing customer experience. The engineer will be responsible for benchmarking and measuring the performance of product operations projects, building scorecards and reports, and identifying new opportunities based on customer and business data. The ideal candidate has a passion for using data to discover and solve real-world problems, enjoys working with rich datasets and modern business intelligence technology, and can see their insights drive product features. This role also offers the opportunity to contribute to the development of policies, processes, and tools to address product quality challenges.

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Appier is seeking a Senior Machine Learning Scientist to join their Advertising Cloud Optimization team. This team is responsible for developing core machine learning algorithms that enhance campaign efficiency and advertiser ROI on a large-scale programmatic advertising platform. The role involves improving models for bidding, pricing, and personalized content delivery, ensuring system robustness and scalability in a dynamic market.

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Databricks

Databricks is seeking world-class engineers to join its new R&D center in Vancouver, Canada, focused on simplifying and democratizing data and AI. The company's platform enables customers to build and scale data and AI applications, analytics, and agents. This role will contribute to innovative product development across strategic areas such as Log Analytics, AI/BI, Unity Catalog Business Semantics, and Databricks Apps, which involves working with large-scale distributed systems, data modeling, governance, and AI enablement.

CA$173k - CA$238k

Netomi is seeking a highly analytical and detail-oriented candidate to join the Analytics team. As part of the team, you will work with data science, product, engineering, and customer success teams to drive complex data and trend analyses to propose ways to improve and thereby contribute to improving the experience. You will also be responsible for benchmarking and measuring the performance of various product operations projects, building and publishing detailed scorecards and reports, identifying and driving new opportunities based on customer and business data. We are looking for an Engineer with a passion for using data to discover and solve real-world problems. You will enjoy working with rich data sets, modern business intelligence technology, and the ability to see your insights drive the features for our customers. You will also have the opportunity to contribute to the development of policies, processes, and tools to address product quality challenges in collaboration with teams.

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