Senior Machine Learning Engineer Jobs

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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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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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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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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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

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 is building and running the world's best data and AI infrastructure platform to help customers gain deep data insights. The Vancouver site aims to be a key driver of product innovation, with open roles across strategic areas like Log Analytics, AI/BI, Unity Catalog Business Semantics, and Databricks Apps. Engineers will tackle challenges across the entire data processing pipeline, redefine Business Intelligence for the AI age, manage context for enterprise data, and work on a rapidly growing platform that heavily invests in app builder AI agents.

CA$146k - CA$201k

NVIDIA is seeking a Senior Performance Software Engineer to join their Deep Learning Libraries team in Shanghai, China. This role involves developing highly optimized code to accelerate linear algebra and deep learning operations specifically for NVIDIA GPUs. The team contributes to critical libraries like cuDNN, cuBLAS, and TensorRT, enabling breakthroughs in AI domains such as image classification, speech recognition, and natural language processing. You will be working on the foundational software that powers AI advancements globally, focusing on achieving peak GPU efficiency for current and future hardware generations. The work involves deep engagement with the GPU hardware and low-level software stack.

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We are seeking a Senior Machine Learning Engineer to join our Clinical Team. In this role, you will be responsible for owning the tissue-class segmentation and labeling models for our ultrasound CT clinical analysis layer, along with the pipelines that support their training and verification. You will retune models as image inputs are updated and clinical indications expand, and define training/evaluation pipelines, datasets, and metrics from the ground up. A key part of this role involves collaborating with data labeling contractors, expert clinicians, and internal teams on labeling specifications, quality control, and dataset versioning. You will also play a crucial part in productionizing models into a versioned, HIPAA-bound analysis service, ensuring reproducible inference, per-prediction confidence, drift monitoring, and safe fallbacks.

$237k - $250k

NVIDIA is seeking a Senior Integration Engineer to join their autonomous driving team. This role focuses on accelerating the development, integration, evaluation, and deployment of end-to-end driving models. You will collaborate across model development, data, simulation, systems software, and vehicle engineering teams to transform evolving AI models into reliable autonomous driving functionality on NVIDIA's computing platforms. The position involves working with large-scale training infrastructure, simulation environments, and production vehicle platforms.

$152k - $288k

PALO IT is seeking a Data Architect in CDMX to design, evolve, and optimize data architecture for innovative, scalable, and secure solutions. This role is part of a global technology consultancy with a trademarked, AI-first approach, focusing on building the AI-first frontier enterprise. The Data Architect will play a crucial role in shaping data strategy and architecture, ensuring alignment with business and IT strategy, and designing enterprise data models. The position requires a strong understanding of data governance, privacy, and quality, as well as expertise in data integration and design to ensure interoperability and a comprehensive data view. The role also involves acting as a technical reference for teams, promoting best practices, and translating business needs into scalable data solutions, with an expectation to utilize Generative AI coding tools.

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Xometry is seeking a Staff Machine Learning Engineer to join its AI/ML team. This senior individual contributor role involves leading the design and delivery of complex ML systems, architecting integrations across the tech stack, and setting engineering standards for ML solutions at scale. A key aspect of this role is owning the AI/ML architecture for a strategic initiative involving the DFM AI + IQE integration, building pipelines and contracts to connect Xometry's platform with partner ecosystems in real-time. You will work closely with data scientists, engineers, and product managers to bring high-impact ML capabilities into production.

$200k - $220k

Xometry is seeking a Senior Principal, Machine Learning & Artificial Intelligence to serve as a technical leader for large, cross-functional ML/AI initiatives with significant business impact. You will own and drive a 18- to 24-month technical roadmap, balancing innovation with business value delivery. This role involves close collaboration with engineering, product, design, manufacturing operations, and business leadership to influence partner roadmaps and resourcing. You will act as a subject-matter expert, proactively removing roadblocks and tackling problems beyond your immediate scope, identifying opportunities to drive revenue growth, cost reduction, efficiency improvement, and competitive differentiation, particularly in areas involving 2D/3D part understanding, generative AI, and advanced machine-learning platforms.

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NVIDIA is seeking a Principal Systems Software Engineer for Semiconductor Inspection to join their team in Santa Clara. This role involves defining, building, and evaluating AI systems for semiconductor manufacturing, focusing on inspection and metrology. The work spans computer vision, time-series modeling, multimodal AI, and anomaly detection, with a strong emphasis on adapting and deploying these technologies within partner environments. The goal is to create integrated, reliable, and fast AI solutions that can be operated by fabs and equipment vendors, even in air-gapped facilities with limited data and tight production budgets.

$272k - $431k

Fin, now part of Salesforce, is seeking an experienced manager to lead a team of highly-performing ML scientists. This role involves not only people management but also staying close to the technical work, providing guidance, and potentially contributing to code reviews. The AI Group is responsible for defining new ML products, researching algorithms, and rapidly prototyping solutions for customers. The team moves quickly, often shipping to beta within weeks of successful offline testing, and has a product-focussed approach, applying machine learning from classic supervised models to fine-tuned LLMs, always measuring real customer impact.

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Fin, now part of Salesforce, is seeking a Senior Machine Learning Scientist to join their product-focused team in Berlin. This role involves defining new ML features, researching algorithms and technologies, and rapidly prototyping solutions to enhance customer experiences. The team works closely with Product and Design, leveraging ML expertise to ship impactful products, from classic supervised models to cutting-edge transformer applications. You will be instrumental in identifying value creation opportunities through ML, framing product problems, conducting data analysis, and collaborating with engineers to bring prototypes to production, ultimately measuring and socializing learnings to drive iteration and build excellent ML products.

Salary not listed

Fin, now part of Salesforce, is seeking a Staff Machine Learning Scientist to join their Machine Learning team. This team is responsible for defining new ML features, researching algorithms and technologies, and rapidly prototyping solutions for customers. They work closely with Product and Design teams, with dedicated ML product engineers enabling fast production deployment, often shipping to beta within weeks of successful offline testing. The team has a history of productizing a wide range of ML applications, from classic supervised models to advanced unsupervised clustering and transformer neural networks, always measuring real customer impact.

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Appier is seeking a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team. This team is responsible for developing core machine learning algorithms that drive campaign efficiency and advertiser ROI on our programmatic advertising platform. This platform operates at a massive scale, handling millions of queries per second, powered by proprietary deep learning models for bidding, pricing, and personalized content delivery. In this role, you will directly impact the efficiency and profitability of ad campaigns by improving models for bidding, pricing, and personalized content recommendation, while ensuring system robustness and scalability in a dynamic market environment.

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NewsBreak is seeking a Senior Machine Learning Engineer to join the User Signal team, which is central to their in-house advertising platform. This role involves designing and building the data and ML systems that transform raw user signals into production targeting and bidding features. You will own significant pieces of the signal-to-model pipeline end-to-end, from defining and building features at scale to developing models for user understanding, and applying these predictions directly into ads targeting, bidding, and ranking models to drive measurable lift. This is a hands-on, high-ownership role that blends ML modeling, large-scale data engineering, and production ML systems, requiring close collaboration with Ads, Data, and Infra teams, and driving technical direction.

$185k - $235k