Senior Machine Learning Engineer Jobs

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

Code Metal

Code Metal is seeking a Staff Python Engineer to join their Modeling & Simulation team. This role will focus on building the Python services, pipelines, and tooling that drive a next-generation wargaming and decision-support platform. You will design backend services and APIs, integrate with simulators, manage data, and expose results to analysts and government stakeholders. The position involves developing backend infrastructure that interfaces with AI and machine learning pipelines, designing scenario-generation and analysis workflows, and building distributed, cloud-scale infrastructure to support simulations across various environments while ensuring reproducibility and model provenance. Strong command of cloud services and distributed architectures is essential.

$200k - $250k

We are seeking a Staff Engineer to build and maintain the production systems that power our AI-enabled product capabilities. This role bridges ML systems, platform engineering, and site reliability engineering, focusing on moving machine-learning models and agentic workflows from prototypes to secure, observable, and continuously deployable production systems. You will partner with various teams to create a streamlined path from experimentation to production and ensure the ongoing performance and evolution of these systems.

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As a Senior Machine Learning Engineer on the Embedded Insights team, you will play a crucial role in shaping Plaid's future by developing innovative machine learning-powered products and features. Initially, you will focus on supporting the Plaid App, contributing to a new consumer-facing product from its inception and helping to establish its product-market fit. This role involves close collaboration with product managers, data scientists, engineers, and customers to transform ambiguous opportunities into effective ML systems that deliver measurable customer value. You will also contribute to the broader Embedded Insights team by analyzing unique datasets to identify high-impact ML opportunities, productionizing models, and optimizing the performance of existing ML systems.

$229k - $315k

HackerRank is seeking a Lead Data Engineer to join their data organization. This role is a senior individual contributor position focused on evolving the company's data platform, which has recently undergone a significant modernization. The primary goal is to build an AI-native data layer that will power new revenue-generating features, including natural language querying for customers. This is a greenfield opportunity to shape the future of data at HackerRank, collaborating with AI, product, and go-to-market teams to deliver data-driven features.

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Anthropic

The Safeguards ML Inference Path team designs, builds, and operates the production infrastructure that powers Claude's ML-based safety systems. This role involves collaborating closely with safety researchers and inference engineers to bring new classifiers and novel classes of ML defenses to production, owning the research-to-production transfer of new safety technologies critical for every Claude model launch. The team builds for scale, serving thousands of ML classifiers for all requests on the token generation path and for every platform Claude runs on. Engineers will work at the intersection of machine learning, large-scale distributed systems, and AI safety, developing platforms and tools that enable safeguards to operate reliably at scale, with tooling and infrastructure used for every model launch.

$320k - $485k

Parallel Wireless is seeking experienced wireless algorithm experts to research and design advanced cellular communication algorithms for 5G and beyond products. This role will leverage neural networks and machine learning techniques to reimagine mobile networks with innovative, energy-efficient Open RAN solutions. The ideal candidate will contribute to the future of telecommunications by driving innovation through green and sustainable networks.

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Mercor is a leading AI data company that organizes human intelligence to power the AI economy. We are building the layer between human expertise and frontier models, enabling millions of domain experts to train AI models. Our mission involves creating a new category of work where expertise drives AI advancement, requiring an ambitious and committed team working at the forefront of AI systems. The Frontier Data Products team is responsible for transforming complex multimodal inputs (images, video, audio, documents) into reliable, customer-ready data products at scale. This role is a player-coach position, balancing technical contributions with people leadership, including writing production code, owning architectural decisions, and resolving complex production issues. It also involves hiring, coaching, and organizing a team to operate with clear ownership and independent judgment, focusing on product quality, reliability, and usefulness.

$300k - $420k

Moveworks is seeking a Machine Learning Engineer to develop cutting-edge ML infrastructure for building and serving LLMs. This role is pivotal in constructing, optimizing, and scaling end-to-end machine learning systems, encompassing distributed training and inference pipelines for large language models, model evaluation and monitoring frameworks, and LLM latency optimization. The frameworks developed will serve as a robust foundation for hundreds of ML and NLP models in production, impacting millions of enterprise employees. You will address challenges in service scalability and core algorithm optimization, working closely with machine learning, data infrastructure, and core skill teams. Your contributions will significantly influence customer AI experiences and the long-term scalability of our core AI product.

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This role focuses on designing and developing data-driven and machine-learned approaches for vehicle control problems, bringing modern ML to a domain traditionally solved with classical methods. You will develop learned models of vehicle behavior and dynamics, integrate them into closed-loop simulation, and apply machine learning to improve controller adaptation across vehicles and operating conditions. You will own problems end-to-end, from conceptualization and offline experimentation through simulation and on-vehicle validation, and build necessary data pipelines, evaluation metrics, and tooling to measure performance against classical baselines. This is an opportunity to be part of a multidisciplinary team using an AI-first approach to enable safe self-driving at scale and define how learning and classical control coexist in a safety-critical stack.

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Latitude AI, a subsidiary of Ford Motor Company, is developing the future of autonomous driving technology with its in-house ADAS platform, set to debut in 2027. The Intelligent Systems team focuses on converting sensor data into understanding through computer vision and machine learning, managing both onboard vehicle sensors and offboard cloud infrastructure. This role is within the Scalable ML team, which is crucial for improving the efficiency of model training and enabling ML developers to work effectively with large datasets to achieve optimal performance and advance transportation safety.

$179k - $269k

Anthropic

Anthropic's Safeguards organization is responsible for developing the policies, evaluations, and enforcement systems that prevent AI models from causing catastrophic harm. We are seeking a manager to lead our biological safety research engineering team. This team focuses on creating the evaluations, datasets, and classifiers that govern how our models handle biological knowledge. You will guide a team of research scientists and engineers in designing and executing capability evaluations on frontier models, curating safety classifier training data, and training/iterating on these classifiers. Your role involves setting technical direction, making investment decisions, and owning team outcomes, while maintaining technical depth to review designs and analyze failure modes. The team's core challenge is balancing robust safeguards against sophisticated actors with enabling legitimate researchers in the life sciences.

$405k - $485k

Hugging Face is seeking a Senior Machine Learning Engineer to lead a significant portion of their open voice-agent stack. This role focuses on two key areas: the open-source library 'speech-to-speech' for real-time voice agents, and 'hf-voice,' a new product enabling developers to build and deploy voice agents. You will take architectural ownership, integrate new models, manage community contributions, design developer APIs, build the serving infrastructure for real-time inference, and guide the product from demo to production. The position also involves creating documentation, supporting existing deployments, and potentially sharing work publicly through blog posts or conference talks.

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