Senior AI Engineering Jobs

Anduril Industries

Anduril Industries is a defense technology company focused on transforming military capabilities with advanced technology. We are seeking a Senior AI Infrastructure Engineer to build, scale, and optimize the end-to-end machine learning platform that powers our autonomous systems. In this role, you will own critical components of our ML platform and MLOps tooling, building and operating the infrastructure required to train, evaluate, host, and serve complex AI models across various environments. You will collaborate closely with AI Research Scientists and Platform Engineers to streamline model development, enhance hardware utilization, and ensure the reliable deployment of models into safety-critical operational settings.

$191k - $253k

Assort Health

Assort Health is building a continuous conversation for every patient, powered by an AI agent that remembers context and carries it through their healthcare journey. The company has developed a proprietary dataset of 285 million patient interactions and is experiencing rapid growth, having raised $222 million. As a Research Engineer, you will be responsible for developing industry-leading healthcare AI models and pipelines, taking them from concept to production. You will own significant initiatives to advance the capabilities of AI models and agents in healthcare, ensuring high levels of reliability, efficiency, and precision.

$190k - $240k

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

Innodata is a global data engineering company focused on the intersection of data and Artificial Intelligence (AI). Our mission is to enable the responsible advancement of AI by providing the data, evaluation frameworks, and human expertise needed to build trustworthy AI systems at scale. We offer a range of solutions, platforms, and services for Generative AI builders and adopters, leveraging over 36 years of experience in delivering high-quality data and outstanding customer outcomes. This role focuses on the science behind speech and audio models, addressing challenges in robustness across accents, noise, and code-switching, speaker diarization, speech naturalness, and streaming latency. You will be instrumental in building the data and evaluation designs that drive progress in these areas for customers and frontier labs. Your work will involve critical judgment on benchmark coverage, transcription conventions, and the appropriate use of automated versus human evaluation metrics. You will collaborate closely with our transcription and linguistics lead to ensure our data standards directly influence model learning.

$160k - $185k

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Public Cloud Platform Engineer at JPMorgan Chase within the Global Technology team, you will be guiding application teams on moving to public cloud, supporting with maintaining, and resolving production incidents that impact our customers, clients, and businesses around the globe. You will drive, support, and deliver on a strategy to operate and build broad use of Amazon's utility computing web services, identify opportunities to improve resiliency, availability, security, and high-performing platforms in Public Cloud using JPMC best practices, and improve reliability, quality, and reduce time to resolve issues in production incidents on software applications.

Turing

Turing is seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation.

$250k - $350k

Innodata is seeking a Research Scientist to lead the science of data for robotics foundation models. This role involves partnering directly with customers and frontier labs to define how data is designed, structured, and evaluated for next-generation AI systems in robotics. You will leverage scientific judgment to make high-leverage decisions about data capture, synthesis, representation, and evaluation, ensuring that the data collected and generated directly supports the development of robust and transferable AI models for manipulation, locomotion, vision-language-action, and world models.

$160k - $185k

Turing

Turing is seeking exceptional Research Scientists to join our research organization and develop new ways to evaluate, train, and improve frontier AI systems. This is a research-first role focused on problems where the right benchmark, dataset, or methodology often does not yet exist. You will identify important gaps in the literature, propose ambitious new research directions, and take projects from initial hypothesis through experimentation, benchmark construction, and publication. Our research is deliberately focused on frontier evaluation, synthetic data, hallucination and reliability, and agentic science. We are looking for scientists who can recognize important problems early, formulate them precisely, and design rigorous research programs to answer them.

$250k - $400k

Turing

Turing is seeking exceptional Research Scientists to join our STEM research organization and develop new ways to evaluate, train, and improve frontier AI systems. This is a research-first role focused on problems where the right benchmark, dataset, or methodology often does not yet exist. You will identify important gaps in the literature, propose ambitious new research directions, and take projects from initial hypothesis through experimentation, benchmark construction, and publication. Our research is deliberately focused on frontier STEM evaluation, synthetic data, hallucination and reliability, and agentic science. We are looking for scientists who can recognize important problems early, formulate them precisely, and design rigorous research programs to answer them.

$250k - $350k

Turing

Turing is seeking exceptional AI Research Scientists to join our STEM research organization and develop new ways to evaluate, train, and improve frontier AI systems. This is a research-first role focused on problems where the right benchmark, dataset, or methodology often does not yet exist. You will identify important gaps in the literature, propose ambitious new research directions, and take projects from initial hypothesis through experimentation, benchmark construction, and publication. Our research is deliberately focused on frontier STEM evaluation, synthetic data, hallucination and reliability, and agentic science. We are looking for scientists who can recognize important problems early, formulate them precisely, and design rigorous research programs to answer them.

$150k - $300k

Turing

Turing is seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation.

$250k - $350k

Toast

The AI Agent & Experience team at Toast is responsible for building the internal platform that enables AI to be a scalable force across the company's product development lifecycle. This includes developing infrastructure, governance, and tooling for AI. The team's products range from an LLM Proxy and AI Key Management to autonomous agents that integrate into the software development lifecycle. As a Senior Software Engineer on this team, you will be instrumental in building these critical systems, including the LLM proxy, agentic workflows, and a plugin marketplace designed to bring AI-native development practices to various teams within Toast.

Nebius is building a full-stack AI cloud platform to support developers and enterprises from data and model training through to production deployment. As a Senior Machine Learning Engineer on the Applied AI team, you will own model and endpoint optimization from model artifacts through production deployment. Your work will focus on improving latency, throughput, memory efficiency, GPU utilization, and cost per token while preserving quality and reliability. You will collaborate with kernel and platform engineers to investigate serving problems, compare configurations, and resolve performance and quality regressions. Your improvements will be validated through reproducible benchmarks and safe production rollouts under real-world workloads.

We are seeking an ambitious and self-driven AI Engineering Lead to join our Analytics & AI team. This role is ideal for a passionate technologist with deep expertise in Machine Learning, Artificial Intelligence, and modern software engineering, who is motivated by solving complex, real-world problems and shaping technical direction. As a principal technical specialist, you will design and deliver advanced AI solutions, drive engineering excellence, support business development, and act as the go-to person for technical challenges.

Turing

Turing's Enterprise AI unit is seeking a Forward-Deployed AI Engineer to join its initial team. This role offers the opportunity to operate with the speed and focus of a startup, defining the frontier of applied AI in the workplace. You will be responsible for identifying high-value customer problems, shaping AI solution architecture, building production systems, and directly engaging with senior client leaders. The work involves developing generative AI solutions that drive measurable impact and return on investment within large institutions, tackling intellectually challenging and high-impact problems.

Waabi is a leader in Physical AI, developing technology for autonomous transportation. We are seeking a Senior/Staff ML Ops Engineer to build and evolve our training infrastructure on Kubernetes, focusing on GPU scheduling, autoscaling, and multi-node distributed jobs. You will shape the developer-facing surface of our tools, shorten the development loop for ML engineers, and evangelize best-in-class tooling. This role involves strengthening our data and artifact layer, turning one-off scripts into durable, tested libraries, and making experiments legible through robust experiment tracking and model registries. You will also ship CI/CD for models, build comprehensive observability across the ML stack, and treat documentation and onboarding as a core product surface. Driving adoption through user empathy and prototyping is key, alongside ensuring platform reliability and building secure guardrails.

As a Senior Manager of Software Engineering at JPMorgan Chase, you will lead and mentor multiple technical teams focused on advancing financial technologies within the Commercial & Investment Bank - Payments (Data Analytics & Regulatory Compliance) Team. You will be responsible for designing and delivering secure, stable, and scalable technology products, driving critical technology solutions across various business functions to meet firm objectives. This role involves setting and scaling operating practices for AI-assisted engineering and SDLC automation, establishing measurable expectations, and ensuring the reuse of proven technology assets.

DigitalOcean is seeking a Senior Manager, Agentic Analytics Platform Engineering to lead a high-performing team and drive the next generation of their business intelligence infrastructure. This player-coach role will bridge complex data architecture with executive strategy, fostering data proficiency and governance across the organization. The position involves owning the strategic vision for AI-enabled analytics solutions, leading the design of semantic layers, and overseeing data modeling and BI infrastructure using tools like dbt. The role also includes managing and mentoring engineering professionals, and collaborating with stakeholders to translate business goals into technical frameworks, while ensuring the performance and reliability of data pipelines.

$192k - $240k

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

Together AI is building the AI Native Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art GPU cloud infrastructure. The Together Cloud team builds the flagship IaaS product that provides high-performance, AI-ready GPU clusters through a self-serve cloud console, along with the virtualized infrastructure layer powering Together's inference, RL, and fine-tuning products. As a Staff Software Engineer focusing on AI Compute, you will set technical direction for and build major components of the next generation AI cloud platform – a highly available, global cloud infrastructure with cutting-edge virtualization of the latest ML hardware. This is an architect-and-build role where you will set the architecture for automated bootstrapping of GPU data centers, high-performance virtualization, and fault-tolerant decentralized control planes, and be a key owner of the hardest parts, in the code as well as the design. Your designs will span the IaaS layer up to the global management plane that schedules capacity across all data centers. At this level, the job is as much leverage as code: the standards you set and the engineers you grow decide how fast the rest of Together Cloud ships.

$260k - $300k

Crusoe

As a Senior Engineering Manager, you will lead an engineering team focused on making large language models run faster, cheaper, and more reliably in production. This role balances team leadership with core systems and performance engineering on demanding models in production, requiring you to stay deeply technical and hands-on with the inference stack end to end. The work is applied, not academic, with optimizations landing in real customer deployments. You will tailor deployments to customer needs, take workloads from proof of concept to production, and ensure performance gains deliver clear business and customer value. This leadership role combines people management, technical direction, and hands-on coding and profiling, with a customer-facing component and elements of product and technical solutions leadership.

$250k - $300k

Cerebras

Cerebras is developing a new generation of disaggregated AI inference systems that combine GPU-accelerated prefill with ultra-fast decode on the Cerebras Wafer-Scale Engine. We are seeking a Software Engineer to build and enhance the ML API layer, making this heterogeneous serving system accessible, reliable, and user-friendly. You will operate across our inference APIs, model integration layer, request-routing services, and the Cerebras inference platform to ensure a consistent experience across various models and accelerator backends. This role is at the intersection of machine learning systems, API design, model serving, and distributed systems, enabling new model architectures and inference capabilities while defining stable user-facing behavior and ensuring features like streaming, sampling, tool use, structured outputs, and multimodal inputs function correctly in production.

SambaNova

SambaNova is seeking a Senior Developer Advocate, AI Content & Community to enhance the visibility and utility of its AI infrastructure technology. This role involves hands-on development of compelling demos and applications using SambaCloud, alongside building relationships within the developer ecosystem to amplify SambaNova's offerings. The ideal candidate will be adept at prototyping, clearly explaining complex technology, and effectively communicating through various media, including live presentations and digital content.

$196k - $240k

Machinify is a leading healthcare intelligence company that provides value, transparency, and efficiency to health plan clients. Our AI-powered platform and expertise are used by over 85 health plans, representing more than 270 million lives. We are constantly innovating to improve financial outcomes and reduce healthcare costs. As a Senior Data Engineer (Analytics), you will be responsible for transforming raw operational data into actionable insights for business leaders. This role focuses on data modeling and measurement enablement, working closely with business stakeholders to understand their needs and translate them into certified models, robust metric definitions, and user-friendly reports. You will be instrumental in unifying data from multiple platforms into a single measurement model across diverse client workflows.

$170k - $200k