Machine Learning Engineer Jobs

Anthropic

Anthropic is seeking talented individuals for its Fellows Program, focusing on AI research and engineering to ensure AI systems are reliable, interpretable, and steerable. This program provides funding and mentorship to promising technical talent, regardless of prior experience, to work on empirical projects aligned with Anthropic's research priorities. The goal is to produce public outputs, such as paper submissions, contributing to the development of safe and beneficial AI for society. Fellows will engage in full-time research for four months, with direct mentorship from Anthropic researchers and access to a shared workspace in either Berkeley, California, or London, UK. The program also offers connections to the broader AI safety and security research community.

$25k - $50k

As a Staff Data Engineer at Capital One, you will be a leading technical expert contributing to the future of data platforms and banking in the cloud. You will collaborate with data engineers, data scientists, machine learning experts, and product managers to devise scalable and reusable data solutions for complex problems. Your role involves driving innovation, optimizing business outcomes, and delivering strong data and technology solutions. You will promote engineering excellence, mentor junior engineers, and actively recruit talent to build our community. You will operate as a trusted advisor, sharing knowledge through communications, code samples, and blog posts, specializing in a particular subject area while impacting the organization broadly.

$269k - $307k

SambaNova

SambaNova is seeking a Compiler Architect to join their team and drive innovation in compiler infrastructure and optimization algorithms. This critical role involves working with various layers of the compiler stack and coordinating with development teams to ensure state-of-the-art ML model performance on the SambaNova platform. Responsibilities include analyzing PyTorch and machine learning models to map operations onto the company's unique dataflow hardware.

$210k - $280k

NVIDIA is seeking a Senior System GPU Performance Engineer to join their Silicon Co-Design Group. This role focuses on maximizing the performance and power efficiency of production GPU systems by analyzing workload behavior, silicon capabilities, software policies, and platform constraints. You will be responsible for identifying bottlenecks and implementing improvements, owning the entire process from hypothesis to root-cause closure and product impact. This is a hands-on role that turns complex system data into faster, more efficient, and predictable products.

Salary not listed

NVIDIA is seeking outstanding Software Engineer Interns to contribute to the development of groundbreaking technologies for AI and deep learning kernel libraries. The team focuses on building core software that accelerates high-impact AI workloads on NVIDIA GPUs, with an emphasis on deep learning primitives, kernel libraries, and performance-critical GPU software. Interns will engage in the design, development, optimization, and delivery of software integral to NVIDIA's AI platform, with opportunities to work on low-level kernels, performance primitives, and efficient implementations for modern AI and deep learning workloads. This role involves contributing to GPU-accelerated deep learning primitives, attention kernel implementations, runtime components, code generation systems, and performance-critical infrastructure for advanced AI applications, collaborating with world-class engineers across various AI software domains.

Salary not listed

OpenAI

We are seeking a software engineer to build and evolve our classification and evaluation platform. You will develop services, online and offline pipelines, and tools that help researchers and data scientists turn an idea into a working measurement and iterate on it quickly. This role combines software and data engineering with hands-on production ownership. You will shape the architecture, deliver new capabilities, improve inference efficiency, and keep the system dependable as workloads and requirements evolve. Strong candidates will bring deep software engineering expertise and an interest in building a technical product in close partnership with its users.

$347k - $445k

Gray Swan AI is seeking a Machine Learning Engineer to play a pivotal role in shaping the future of AI safety solutions. This role blends applied research with system building, focusing on developing new approaches to adversarial testing, model evaluation, and robust inference. You will work at the boundary between research and production, translating novel ideas into scalable AI systems that withstand adversarial pressure. Your expertise in deep learning architectures, distributed systems, and parallel computing will be crucial for tackling complex challenges associated with resource-intensive models and advancing methodologies for controlling, monitoring, and analyzing these models in production environments.

$160k - $257k

Anthropic

The Account Abuse team is responsible for ensuring Anthropic's computing capacity is allocated fairly by minimizing resources for bad actors and preventing their return. As a software engineer on this team, you will build the machine learning systems that detect and stop abuse at scale. The ideal candidate can anticipate opponent strategies and responses to countermeasures. This role involves full-stack machine learning engineering across model training, productionization, and evaluation, with opportunities to leverage Claude to accelerate model development and maintenance. The focus is on classical ML applied to structured and behavioral data, emphasizing robust production systems, precise measurement, and safe rollout strategies, as false positives can lead to legitimate customer lockout.

$320k - $485k

Latent is seeking a Machine Learning Engineer, Research, to lead the design and development of innovative modeling approaches that push the boundaries of clinical intelligence. This role involves driving research from initial problem definition to validated outcomes, influencing how models learn from longitudinal patient data. We are looking for senior and staff-level engineers adept at managing critical research challenges from inception to completion, with a focus on problems that directly impact patient well-being.

$225k - $300k

We are seeking Machine Learning Engineers passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. You will deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with Product, Architecture, Engineering, and Data Science teams. You will drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems and lead large-scale ML initiatives with the customer in mind.

$315k - $359k

Latent is seeking a Machine Learning Engineer to join their team and build systems that run in real clinical workflows. This role involves owning the design, development, and operation of production-grade ML systems from ambiguous problem definition through to reliable production deployment. The ideal candidate will drive systems end-to-end, setting technical direction and taking ownership of critical systems that directly impact real patient outcomes. This is an opportunity to work on mission-critical problems at the intersection of AI and healthcare within a fast-growing, early-stage company backed by top-tier investors.

$225k - $300k

Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One.

$269k - $307k

NVIDIA is seeking an AI Networking Architect to join the Networking Research Group. This role focuses on bridging the gap between emerging AI workloads and the data center infrastructure that powers them, operating at the intersection of AI applications, distributed systems, networking hardware, and software architecture. You will contribute to a team driving AI workload optimization through deep application understanding, network analysis, and end-to-end systems thinking. Your contributions will directly influence NVIDIA products across the entire stack, from applications and software libraries to hardware architecture and physical design.

Salary not listed

Cerebras

The Core ML team is seeking an engineer to map novel algorithms for efficient large-scale AI training and inference to the Cerebras architecture. This role involves determining when these algorithms outperform competing approaches and how their advantages scale with models, workloads, and hardware. You will combine analytical performance modeling, empirical benchmarking, and hands-on prototyping to characterize the efficiency frontiers of emerging ML algorithms. Your work will span kernel-level and end-to-end performance, influencing research directions, implementation on current systems, and future hardware/software capabilities.

Salary not listed

Mirage is seeking an ML Engineer to build and scale the systems powering their video generation models. This role sits at the intersection of research and systems engineering, focusing on making advanced models faster, more efficient, and capable of ultra-low latency, real-time generation. You will work on novel modeling approaches, training objectives, scaling strategies, and inference optimization and efficiency to bring cutting-edge models into production.

$175k - $300k

Capital One is seeking passionate Machine Learning Engineers to join their team and drive AI transformations. This role involves leveraging cutting-edge open-source frameworks, advanced algorithms, and emerging technologies to solve complex business problems. You will have the opportunity to build and scale massive multi-tenant platforms for ML model training and serving, inform infrastructure decisions with a deep understanding of ML techniques, and collaborate within cross-functional Agile teams to create state-of-the-art big data and ML applications. The position emphasizes writing and testing application code, developing and validating ML models, and automating tests and deployment, all within a fast-paced, collaborative, and iterative delivery environment.

$230k - $262k

Cerebras

The Core ML team is seeking an engineer to bridge the gap between novel machine learning research and efficient execution on Cerebras systems. You will work across ML frameworks, compilers, runtimes, and low-level kernels to implement new algorithmic capabilities, diagnose performance bottlenecks, and transform research prototypes into robust, high-performance demonstrations. Depending on your background, your work may emphasize runtime capabilities such as token orchestration, scheduling, communication, and distributed execution; low-level kernel development for novel ML operations; or a combination of both. This role is crucial for advancing the capabilities of Cerebras' unique AI chip architecture.

Salary not listed

PostEra

PostEra is seeking a Machine Learning Researcher to spearhead the development of an agentic research vertical. This role involves leveraging agentic systems to automate the creation of mechanistic models for biochemical and physiological processes, and to analyze biological data for target validation. You will collaborate closely with chemists and biologists to guide drug discovery decisions using these models. A key focus will be on developing machine learning methods capable of rapid adaptation to new drug discovery challenges with limited labeled data, particularly in molecular and tabular in-context learning and building foundation models from proprietary multimodal data. You will be responsible for the entire research loop, from defining tasks and constructing datasets to training and scaling models, performing rigorous ablations, and translating successful methods into practical capabilities for PostEra's scientists. While prior drug discovery experience is not mandatory, a strong motivation to learn the domain and collaborate with interdisciplinary scientists is essential.

Salary not listed

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.

Salary not listed

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.

Salary not listed

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.

Salary not listed

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.

Salary not listed

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.

Salary not listed