Machine Learning Engineer Jobs

Appier is seeking a Machine Learning Engineer for their Playable Ads team to transform promising AI models and prototypes into reliable, scalable creative-generation systems for real-world products. This role blends applied machine learning with software engineering, requiring collaboration with scientists, engineers, product managers, and designers to build and improve ad creative generation pipelines. You will focus on ensuring these systems meet production standards for quality, latency, cost, observability, and reliability, ultimately driving higher engagement and conversion for apps and games worldwide.

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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 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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Gecko Robotics is seeking an AI/ML Engineering Intern to join their Engineering team for Summer 2027. This is a full-time, onsite internship where you will work on a defined project that turns inspection data into decisions, building models and the systems around them that run reliably on real customer data. This role focuses on building the systems that analyze data, rather than just the analysis itself. Candidates must be authorized to work in the United States due to government program requirements.

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SpaceXAI is building Super Intelligence to help humanity understand the universe, from supercomputers to Grok models and their suite of applications. The RL Environments team is seeking a Software Engineer to build systems that transform real-world data into high-quality environments and tasks for reinforcement learning. This role involves creating more realistic training environments and owning the platforms and quality layers for trustworthy data production at scale. You will collaborate closely with ML Platform and research teams to convert various data sources into training-ready environments, making high-quality RL data more accessible for model training efforts.

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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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We are seeking a Data Engineer to construct the ingestion and search systems that power our AI products. Our data sources are diverse, including global patent literature, case law, technical standards, scientific databases, academic papers, and web content, spanning structured records, documents, images, audio, and video. You will be responsible for both bulk ingestion and on-demand retrieval, ensuring this information is searchable and integrated into our products. You will own systems from initial source acquisition through to serving queries, working closely with AI researchers and product engineers with significant autonomy in system design and implementation.

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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.

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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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Notion is seeking a Forward Deployed Engineer in India to focus on complex data migrations, integrations, and automations for customers across the APAC region. This role is initially internally focused, requiring close collaboration with regional Forward Deployed Engineers who manage customer-facing aspects. You will be responsible for the technical execution, from assessing feasibility and implementing solutions to testing, rolling out to production, and ensuring operational handoff. The position involves working with diverse customer environments and data, demanding strong engineering fundamentals, sound judgment, and the ability to create reusable tools and repeatable processes. As a founding engineer in India, you will play a key role in establishing new regional engineering capabilities, including migration infrastructure, standards, and tooling, with the potential to grow into customer-facing responsibilities or technical leadership.

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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

As a Senior Lead Software Engineer within the Consumer & Community Banking - Machine Learning I/O team, you will be a key contributor to an agile team focused on enhancing, building, and delivering market-leading technology products securely, stably, and at scale. You will drive significant business impact by applying deep technical expertise and problem-solving skills to a variety of challenges across multiple technologies and applications. This role involves providing technical guidance, developing high-quality production code, and driving the adoption of AI-assisted engineering practices to improve code quality and delivery speed.

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Mastercard Identity Verification is seeking a Senior ML Platform Engineer to join their Budapest team. This role focuses on building, developing, and maintaining internal platforms, tools, and distributed data processing capabilities to support reliable, production-grade machine learning workflows. The position is a blend of software, data, and ML engineering, aimed at creating internal capabilities that empower Data Scientists and Engineers to build, run, and enhance machine learning systems at scale. The ideal candidate is a skilled software engineer adept at solving complex data and ML engineering challenges, writing high-quality code, and constructing robust, scalable systems.

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Plaid is seeking a Senior Research Scientist for its Fraud Data team. This role focuses on applied research to develop next-generation fraud detection models using advanced techniques like Graph Neural Networks and Transformer-based foundation models. You will partner closely with Machine Learning Engineers and Data Scientists to uncover new signals, explore innovative modeling approaches, and translate promising research into production-ready solutions that strengthen fraud detection across Plaid’s network. The team owns the full model lifecycle, from data processing and experimentation to feature pipelines, model serving, and monitoring. This position offers the opportunity to work with large-scale financial data and contribute to building tools that millions of people rely on for their financial health.

$229k - $315k

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Plaid is seeking a Senior Machine Learning Engineer to join their Data team within the Fraud organization. This role will focus on building and scaling machine learning systems that power Plaid's fraud detection products, leveraging unique network data to identify and stop fraud. The team owns the full ML lifecycle, from feature pipelines and model training to production serving and monitoring, building reliable and scalable systems. As a Senior Machine Learning Engineer, you will own the development of high-performance feature computation and online inference pipelines, build robust observability and monitoring capabilities, and partner closely with ML Infrastructure, Data Science, and Product teams to deliver high-impact ML solutions.

$229k - $315k

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Plaid is seeking a Senior Machine Learning Engineer to join their Fraud Data team. This role will focus on developing and deploying machine learning systems to enhance Plaid's fraud detection products. You will work across the full data science and machine learning lifecycle, from identifying new signals and experimenting with models to deploying and optimizing them in production. The goal is to continuously learn from real-world performance and customer feedback to protect customers from evolving fraud threats. You will lead projects from initial experiments through model deployment and ongoing improvement, identifying predictive patterns in Plaid's network data.

$229k - $315k

ASAPP

ASAPP is seeking an enterprising, talented, and curious Machine Learning Engineer to join their AI Engineering team. This role will focus on building and evaluating the core intelligence behind agentic AI systems, playing a key part in designing and owning evaluation frameworks that ensure quality, safety, and performance across complex agentic systems. The Lead Machine Learning Engineer will own and grow the evaluation platform that measures quality, safety, and performance across ASAPP's agentic AI systems, ensuring confidence in model and agent changes before they reach customers.

$170k - $190k