MLOps Jobs

SpaceXSI is building Super Intelligence to help humanity understand the universe, and you will join the multimodal team to push toward superhuman multimodal intelligence. This role involves advancing understanding and generation across modalities—image, video, audio, and text—spanning the full stack from data curation to end-to-end product experiences. You will collaborate cross-functionally to deliver frontier capabilities in multimodal reasoning, world modeling, tool use, agentic behaviors, and interactive human-AI collaboration, contributing to models that can see, hear, reason about, and interact with the world in real time.

$180k - $440k

Glean is seeking Machine Learning Engineers to join the Enterprise Brain team, focusing on building proactive AI products that revolutionize enterprise workflows by automating tasks and enhancing user productivity. This role involves leveraging deep user understanding and state-of-the-art enterprise graphs, utilizing LLMs, advanced ML techniques, agent orchestration, and cutting-edge ranking methods. You will contribute to a secure, open platform that redefines how enterprises find, use, and act on knowledge, with a focus on enterprise trust and scalability.

$200k - $280k

Databricks

The AI Forward Deployed Engineering (AI FDE) team at Databricks is a specialized customer-facing AI team focused on building and productionizing first-of-its-kind AI applications. This role is for experienced engineers who excel at working with customers and teammates, and who are passionate about the latest trends in Generative AI, LLMOps, and Machine Learning. You will collaborate cross-functionally with engineering and product teams to shape strategic priorities and initiatives, acting as a trusted technical advisor to customers across various domains.

$182k - $250k

CoreWeave is seeking a Principal Software Engineer to own the frontend architecture of the W&B app, which is used daily by ML researchers and engineers. The role focuses on ensuring app performance, stability, and reliability by addressing challenges in data composition and load times. This is a frontend-led position requiring deep architectural understanding and cross-organizational collaboration. You will be responsible for defining architectural boundaries, shaping designs across teams, and executing plans to improve the user experience and product features.

$227k - $303k

CoreWeave is seeking a Staff Software Engineer for its Identity & Access Management (IAM) team. This is a high-impact leadership role focused on architecting and expanding CoreWeave's IAM strategy to secure its high-performance cloud infrastructure. The engineer will balance rapid execution with a long-term technical vision to meet the demands of global enterprise customers, designing and extending a platform that secures the company's rapidly expanding cloud platform.

$188k - $275k

AI Infrastructure Engineers at NVIDIA build the systems, tooling, and data infrastructure that enable operation of our GPU cloud services. We are enabling engineering teams to innovate while proactively identifying, tracking, and mitigating risks across the entire technical task. This role is ideal for engineers who thrive at the intersection of product, infrastructure, and software engineering and who want to build automated, intelligence-driven systems that protect NVIDIA’s most critical AI platforms.

$184k - $357k

Accenture

As an experienced AI/LLM Architect, you will be at the heart of designing and building advanced AI systems that power the modern enterprise. A critical dimension of this role is owning the design of a comprehensive AI context layer—drawing on enterprise knowledge bases, structured and unstructured data sources, and domain-specific content—to ground AI systems in the realities of each client's business and ensure outputs are accurate, trustworthy, and impactful. As the technical authority on your domains, you will lead architecture decisions and be accountable for ensuring systems meet rigorous non-functional requirements across security, observability, governance, performance, and scalability. Your contributions will be instrumental in shaping how clients adopt and scale AI, pushing the boundaries of what these systems can achieve and delivering measurable, lasting business value.

Accenture

As an AI/ML Computational Scientist Manager, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients. This involves combining custom models with cloud and third-party AI services to deliver production-ready outcomes. Your role will encompass the entire solution lifecycle, from assessing client needs and data, to selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models). You will also design scalable data and MLOps/LLMOps pipelines for training and production, ensuring the quality, value, and reliability of deployed systems. This position requires formulating real-world problems into practical, efficient, and scalable AI and Machine Learning solutions, and engaging in research and development of new AI and high-performance compute algorithms.

Accenture

Accenture is seeking an Advanced AI Engineer to design, build, and operationalize AI and machine learning solutions for enterprise clients. This role involves combining custom models with cloud and third-party AI services to deliver production-ready outcomes. You will manage the full solution lifecycle, from assessing client needs and data to selecting and customizing models, designing scalable data and MLOps/LLMOps pipelines, and ensuring the quality and reliability of deployed systems. This is an opportunity to work in a digitally driven, innovation-led environment on cutting-edge projects within our Global Agentic Center of Excellence.

$70k - $206k

NVIDIA is seeking an NCX Senior Engineer to join our DSX team, collaborating closely with strategic customers to implement and enhance groundbreaking AI workloads. You will deliver hands-on technical assistance for advanced AI deployments, intricate distributed systems, and ensure customers realize efficient performance from NVIDIA's AI platform across varied environments. We partner with the world's most innovative AI companies to address their most challenging technical problems. In this role, you will develop innovative solutions that advance AI infrastructure capabilities and directly influence customer success with breakthrough AI initiatives.

$184k - $357k

Salesforce is seeking a Senior / Lead Member of Technical Staff to join their AI Research team. This role involves innovating at the frontier of AI, creating new solutions, and defining new product categories with significant impact. You will work closely with software engineers, product managers, and solution engineers to design, implement, and iterate on agentic AI systems. The ideal candidate will possess exceptional engineering skills, deep ML knowledge, strategic thinking, and a dedication to building exceptional product experiences in a fast-paced environment.

$197k - $314k

Salesforce is seeking a highly motivated, hands-on Lead Machine Learning Engineer to define and execute the technical ML strategy for a foundation machine learning platform team. This role involves full lifecycle development and optimization of ML pipelines, with a strong focus on MLOps, infrastructure-as-code, CI/CD, and thorough monitoring. The lead will manage multiple ML pipelines, work closely with cross-functional teams, mentor others, and requires deep expertise in various ML technologies to deliver measurable business impact within a security and compliance framework. A critical component of this role is the proven ability to productize Generative AI solutions and agentic workflows to enhance the security posture and resilience for the organization and all Salesforce customers.

$173k - $260k

Accenture

As a hands-on AI Infrastructure Architect, you will be responsible for designing and optimizing the AI and machine learning infrastructure that powers real-world applications. You will work alongside senior architects and engineers, applying your skills in coding, testing, configuring, deploying, monitoring, and troubleshooting AI systems and their underlying infrastructure. This role involves architecting and optimizing infrastructure components, writing and reviewing code and deployment scripts, designing and tuning compute resources like GPU clusters and distributed training environments, and deploying AI systems into production. You will also build and optimize data pipelines, monitor system health across InfraOps and MLOps, and troubleshoot complex issues. Additionally, you will mentor junior engineers, contribute to architectural decisions, and help establish best practices, making meaningful contributions to infrastructure that enables AI-driven business outcomes.

Discovery is seeking an AI & Agentic Platform Engineer to join their expeditionary force. This role involves taking unproven concepts and building the analysis or prototype to test them, working on challenges across autonomy, sensor analysis, and battle space management. The team focuses on moving AI models from research into production, specifically onto classified platforms and edge hardware where reliability is paramount. Rigorous and repeatable evaluation of model performance is critical as the model portfolio and classified work expand.

$260k - $345k

Anduril Industries is a defense technology company focused on transforming military capabilities with advanced technology. The Maritime Digital Production (MDP) team builds and deploys the full technology stack for Anduril's shipbuilding factories, including data infrastructure, manufacturing execution systems, scheduling engines, and AI systems. This role is for a Machine Learning Engineer on the Applied Intelligence initiative, acting as a bridge between ML research and production operations. You will own the infrastructure that brings ML prototypes to production-grade systems, working at the intersection of data engineering, MLOps, and production operations. The role requires translating ML requirements into production infrastructure, coordinating across teams, and serving as an on-call owner for deployed ML systems, ensuring AI applications function reliably 24/7 in real manufacturing environments.

$220k - $292k

Anduril Industries is seeking a founding Staff AI Infrastructure Engineer to architect, build, and scale the end-to-end machine learning platform that powers the company's autonomous systems. This role will own the technical roadmap for the ML platform, building robust infrastructure, MLOps tooling, and systems architecture to train, evaluate, host, and serve complex AI models. The engineer will optimize experimentation velocity for AI Research Scientists, manage large datasets, and contribute to recruiting and mentoring the infrastructure engineering team.

$220k - $292k

Anduril Industries is a defense technology company focused on transforming military capabilities with advanced technology. Our core Lattice platform integrates sensors to provide real-time situational awareness. As a Software Engineer on the ML Infrastructure team, you will develop the core systems and infrastructure that perception engineers use to field autonomous edge systems. This includes developing data management systems for perception and autonomy, model training/orchestration systems, and an internal perception platform for data querying, model training, and evaluation.

$167k - $222k

Together AI

We are seeking a software engineer with a strong focus on reliability to manage the production operations of our Kubernetes-native control plane, which provisions and runs our GPU inference fleet. This platform team develops the API and controllers that enable the inference team to define their needs, such as clusters, model deployments, or capacity changes, and ensures these are reconciled. Your role will be to maintain this functionality in the real world by troubleshooting issues like InfiniBand problems, diagnosing serving faults, and enhancing our automated self-healing systems to permanently resolve recurring failures. The primary goal is to ensure the decoupling remains effective even during disruptions and to maintain fleet efficiency without introducing new instabilities. You will be responsible for inference serving SLOs and error budgets, leading incident response, and implementing lessons learned from postmortems into system changes. Additionally, you will address the reliability aspects of capacity efficiency, recognizing that misconfigured defragmentation or bin-packing can pose production risks. We value candidates with hands-on production reliability experience in large-scale distributed or GPU-serving systems, proficiency in troubleshooting InfiniBand/RDMA and Kubernetes controller-based platforms, and a software engineering approach to GPU infrastructure.

$250k - $320k

Together AI

We are seeking a reliability-minded software engineer to manage the production operations of our Kubernetes-native control plane, which provisions and runs our GPU inference fleet. This platform team develops the manifest-driven API and controllers that enable the inference team to define their needs, such as cluster configurations, model deployments, and capacity adjustments, and ensures these are reconciled. Your role will be to maintain the reliability of this system in production, addressing issues like InfiniBand problems during node communication, diagnosing faults in hero-model and LoRA serving that generic health checks miss, and enhancing automated self-healing to permanently resolve recurring failure modes. The primary goal is to ensure the decoupling remains effective even during failures and to maintain fleet efficiency without introducing new instabilities. You will be responsible for inference serving SLOs and error budgets, leading incident response, and implementing systemic fixes based on postmortem analyses. Additionally, you will contribute to the reliability aspects of capacity efficiency, recognizing that misconfigured defragmentation or bin-packing can pose production risks. We value candidates with hands-on production reliability experience in large-scale distributed or GPU-serving systems, proficiency in troubleshooting InfiniBand/RDMA and Kubernetes controller/CRD-based platforms, and a software engineering approach to GPU infrastructure and its supporting tools.

$160k - $280k

Figma is seeking a versatile and experienced Machine Learning / AI Engineer to join our growing AI team, working at the intersection of applied machine learning, infrastructure, and product innovation. Whether you’re building intelligent search systems, crafting scalable data pipelines, or enhancing AI-powered creativity tools, your work will drive user productivity, shape new product experiences, and advance the state of AI at Figma. You’ll collaborate closely with engineers, researchers, designers, and product managers across multiple teams to deliver high-quality ML-driven features and infrastructure. This is a high-impact, cross-functional role where you’ll shape both foundational systems and user-facing capabilities. This is a full time role that can be held from one of our US hubs or remotely in the United States.

$153k - $376k