Senior Machine Learning Engineer Jobs

SurveyMonkey is seeking talented Machine Learning Engineers to join their organization, which spans both the Machine Learning Platform (MLP) team and the Product Data Science team. You will work at the intersection of Data Science, DevOps, and Product, contributing to enterprise-scale NLP and ML systems. The roles involve building and owning end-to-end ML/AI solutions, architecting scalable platforms and data pipelines, and delivering tailored AI solutions by training, fine-tuning, and deploying models. This is an opportunity to drive continuous improvement and innovation, with roles available for engineers at various career stages, from early career to Staff Engineer.

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JPMorganChase is seeking an Applied AI ML Director to join their Commercial & Investment Bank team in Seattle, WA. This role focuses on transforming payments through classical and cutting-edge AI/ML technologies. You will be responsible for strategizing and building innovative solutions to enhance trust, safety, and operational efficiency, owning projects end-to-end from problem framing and data strategy to production deployment and measurement. While setting technical direction, you will remain hands-on and collaborate with product, engineering, data, risk, and compliance stakeholders.

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Our Consumer Bank AI Modeling team develops advanced analytics and machine learning solutions that inform high-impact decisions across field workforce effectiveness, customer engagement, and banker-led growth. As an Applied AI Modeling Vice President in this team, you will build and deploy advanced AI/ML models that measurably improve banker sales effectiveness and customer outcomes. Your models will help bankers deliver the right outreach at the right time to our customers, driving deposit growth, increasing customer retention, and strengthening relationships. You will operate in a highly governed environment and partner closely with product, UX, operations, and technology teams to translate modeling innovation into field-ready tools that bankers trust and adopt.

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DevRev is seeking a Senior Data Engineer to contribute to the evolution of their data platform, which underpins critical business decisions and customer-facing AI experiences. This role involves owning significant aspects of the data architecture, ensuring DevRev Computer's memory is accurate and efficient for providing answers. The engineer will design and operate scalable data systems, collaborating with Software Engineering, AI Agent teams, Data Science, and Product teams to transform complex data requirements into reliable data products. This position is ideal for an experienced engineer passionate about tackling challenges in large-scale data, distributed systems, database architecture, and performance optimization, offering substantial technical ownership and the chance to shape the direction of the agentic data platform.

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We are building the next generation of large-scale reinforcement learning based recommender systems and arbitration engines that will power personalized experiences across marketing, customer servicing, and digital products. This is a high-impact initiative central to our platform, leveraging rich credit and customer behavioral data from tens of millions of customers to deliver intelligent, real-time experiences across our digital experiences, including Mobile, Web, and Email. You will help shape a foundational system that reaches a vast portion of the U.S. population, influencing how millions of people discover, decide, and engage across financial and lifestyle experiences.

$179k - $205k

Chai Discovery

Chai Discovery is building the computer-aided design suite for molecules, with major pharmaceutical companies already using their platform to accelerate drug discovery. They are at the forefront of reinventing life sciences through AI, developing frontier models that understand biochemical structure and interaction. This role is an opportunity to push the boundaries of AI drug design alongside a skilled and dedicated team.

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OpenAI

We are seeking a Machine Learning Engineer to spearhead the technical direction for ML-powered experimentation and insights. This role involves building production systems that leverage privacy-protected data to generate evidence-backed insights and inform decision-making, helping teams identify promising ideas for live testing. This is a comprehensive, end-to-end role where you will work across various domains including ML modeling, retrieval and LLM systems, statistical methods, simulation, data and training pipelines, backend services, and user-facing product experiences. The core challenge lies in ensuring that insights and predictions are not only plausible but also traceable, calibrated, useful, and safe enough to guide real product decisions. You will design systems that explicitly address uncertainty, backtest against historical data, compare predictions with online results, learn from discrepancies, and gracefully abstain when evidence is insufficient, all while maintaining clear review and approval processes as automation advances.

$437k - $485k

Typeface

We help the world's biggest brands move from brief to fully personalized campaigns in days, not months. Founded by Abhay Parasnis and backed by Microsoft, GV, Salesforce, Lightspeed, Madrona and Menlo, we’re building category-defining technology at the intersection of creativity and AI with real impact. Join us to help shape the future of enterprise marketing.

$188k - $200k

The Evaluation Foundations team is seeking a Senior Engineer to develop and improve high-performance tools for evaluating autonomous vehicle models. This role involves working across the technology stack to design, implement, and iterate on evaluation and introspection tools. You will contribute to a system that measures and visualizes AV model performance, helping to shorten the experimental path towards optimal models and enabling teams to understand model behavior more effectively. The work directly influences the safety, reliability, and scalability of next-generation autonomous systems.

$145k - $261k

Tenstorrent is at the forefront of AI technology, aiming to revolutionize performance, usability, and cost-efficiency. As AI reshapes computing, our solutions must integrate software models, compilers, platforms, networking, and semiconductors. We have developed a high-performance RISC-V CPU and are seeking passionate individuals to build the ultimate AI platform. Our Tensix Team is architecting the future of AI compute with scalable RISC-V processors, focusing on reimagining RISC-V core frontends for enhanced programmability, efficiency, and developer experience. This is a unique opportunity to influence the CPU architecture at the core of our AI platform and lead a critical technical initiative.

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Tenstorrent is a leader in AI technology, developing next-generation AI compute solutions. The Kernel Development and Optimization team is crucial in unlocking the full potential of their hardware for ML and HPC workloads by creating performance-critical kernels. This role involves designing, implementing, and optimizing GPU-style kernels, contributing to host-side orchestration, and ensuring kernel correctness and performance through rigorous testing and collaboration with various engineering teams. You will gain deep insights into AI hardware, learn to optimize kernels outside traditional CUDA ecosystems, and explore AI-assisted workflows for kernel development.

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Ramp

Ramp is seeking a Machine Learning Engineer to lead the future of fraud machine learning. In this role, you will build core machine learning models, design data architectures, and set strategic roadmaps to mitigate fraud-related threats while minimizing friction for legitimate users. You will partner closely with product and engineering teams on model design, implementation, execution, and analysis. This is an opportunity to build systems that directly shape how companies move and manage billions.

$200k - $330k

Together AI

The Model Shaping team at Together AI focuses on tailoring open foundation models for downstream applications, building services that help machine learning developers select and improve models with domain-specific data. We also develop novel methods for efficient model training and evaluation, drawing from machine learning, natural language processing, and ML systems. As a Research Engineer on the Scaling Team, you will translate cutting-edge research in efficient foundation model training into robust, high-performance systems. You will optimize Together's training infrastructure, identify performance bottlenecks, and implement state-of-the-art techniques in production environments. Your work will directly influence the fine-tuning experience for Together's customers. You will integrate newly released open-source models onto the platform, ensuring efficient and reliable training across diverse workloads. Collaborating with Research Scientists, you will build experimental infrastructure to accelerate research and deploy validated ideas at scale.

$200k - $290k

NVIDIA's Silicon Co-Design Group (SCG) is seeking a Senior Memory Systems Engineer to lead the integration of HBM and LPDDR in sophisticated SoCs. This role spans the entire product development lifecycle, from architecture definition to silicon bringup and release, focusing on resolving complex system-level memory challenges. The engineer will be instrumental in ensuring memory subsystems meet performance, power, and reliability targets for next-generation products.

$196k - $311k

Our Mapping organization is building next-generation mapping systems that move beyond static HD maps toward automated, algorithmic, and ML-assisted map reconstruction pipelines powered by onboard sensor data. These systems form a critical foundation for localization, perception, simulation, and autonomy at scale. We are looking for a Senior Software Engineer to design and build the mapping algorithms and geospatial data systems behind automated map reconstruction and maintenance. In this role, you will develop the algorithms and data models that reconstruct, conflate, validate, and maintain map primitives from large-scale multi-modal sensor data, owning the geometric and topological correctness of the map itself. This is a hands-on individual contributor role with strong ownership, where you will drive technical problems end to end, partner closely with Perception, Localization, and Simulation, and apply machine learning where it measurably improves accuracy, coverage, or automation rate.

$171k - $261k

As a Data Scientist at Capital One, you will be part of a team that is leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock big opportunities that help everyday people save money, time, and agony in their financial lives. The AI for Data team builds and ships state-of-the-art machine learning solutions to support the data lifecycle within the enterprise, partnering with product, tech, and design teams to deliver personalized experiences. You will be the driving force to experiment, innovate, and create next-generation experiences powered by the latest emerging ML technologies.

$162k - $185k

Together AI

Together AI is building the best inference infrastructure for voice applications, powering production-grade, real-time voice agents and applications with best-in-class latency and reliability for speech-to-text and text-to-speech models. We are seeking a Staff ML Engineer to lead the model serving layer for voice workloads. This role involves hands-on optimization of inference engines and models, profiling GPU utilization, designing batching strategies for streaming audio, and ensuring rapid deployment of new model architectures from research to production. This is a foundational hire on a small, high-impact team, addressing the unique challenges of voice inference such as streaming audio, tokenization, and real-time latency budgets, and shaping the future of voice model serving.

$220k - $280k

The Silicon Co-Design Group (SCG) is at the forefront of chip development, spanning architecture, design, marketing, operations, and productization across various markets including Datacenter, Gaming, Robotics, and Automotive. We are seeking a Senior Engineer to lead system validation, debug, and cross-functional alignment for critical silicon programs. This role is pivotal in ensuring product quality by identifying and resolving complex issues before they reach customers, and by building robust, AI-enabled validation capabilities. Your work will directly impact product success, escape rates, and customer confidence.

$168k - $311k

Together AI

Together AI is building the best inference infrastructure for voice applications, powering real-time voice agents and applications with best-in-class latency and reliability for speech-to-text and text-to-speech models. We are seeking a Senior ML Engineer to lead the model serving layer for voice workloads. You will optimize inference engines like TRT-LLM and SGLang to serve models such as Whisper, Parakeet, Orpheus, and Kokoro, focusing on pushing latency and throughput boundaries. This role involves profiling GPU utilization, designing batching strategies for streaming audio, and accelerating the transition of new model architectures from research to production. As a foundational hire on a small, high-impact team, you will address the unique challenges of voice inference, including streaming audio, real-time latency, and tokenization, shaping how Together serves voice models as the industry moves towards end-to-end speech-to-speech systems.

$200k - $260k

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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