MLOps Jobs

NVIDIA is seeking a Senior Engineer to lead the performance modeling, evaluation, and post-training of large language models focused on code generation and agentic coding tasks. This role involves optimizing model capabilities, efficiency, and reliability by working at the intersection of model training, inference, and empirical analysis. You will design experiments to understand model behavior, identify performance bottlenecks, and develop post-training strategies to achieve measurable improvements in coding benchmarks and real-world software engineering tasks. Collaboration with research scientists, infrastructure engineers, and product teams will be key to translating model insights into production-ready features.

$224k - $431k

Databricks

The Agentic Security Engineering team is building an AI-native shared services platform to empower all Databricks security functions. This role will serve as a senior technical authority and architect for this platform, defining its architecture, technical standards, and multi-year engineering direction. You will ensure security teams can safely build, deploy, and operate governed AI personas at scale, focusing on areas like secure agent identity, isolation, policy enforcement, auditability, and observability. Your work will involve cross-organizational alignment, driving adoption of common patterns, and resolving complex technical challenges to improve the quality, safety, reliability, and velocity of the Security AI ecosystem.

$183k - $314k

Databricks

Databricks' Model Serving product offers enterprises a unified, scalable, and governed platform for deploying and managing AI/ML models, including traditional ML and large language models. It provides real-time, low-latency inference, governance, monitoring, and lineage, making it a core pillar for customers operationalizing models at scale with strong SLAs and cost efficiency. As a Senior Engineer, you will be instrumental in shaping both the product experience and the foundational infrastructure of Model Serving. You will design and build high-throughput, low-latency inference systems for CPU and GPU workloads, influence architectural direction, and collaborate with cross-functional teams to deliver a world-class serving platform.

$166k - $225k

Join the new Agentic Engineering team, focused on automating code generation, testing, and tuning across NVIDIA's frameworks, compilers, and developer tooling. This is a greenfield opportunity offering foundational technical influence within a high-autonomy team. You will partner directly with early-adopter teams to translate complex requirements into durable, scalable infrastructure, applying modern AI to the craft of engineering itself. The role involves identifying friction points where agentic workflows can have the highest impact and iterating with teams as they integrate agents into production.

$224k - $357k

At voize, we are building AI companions to seamlessly take over digital workflows for frontline workers, giving them more time to care, connect, and be present. Our mission is to amplify human impact through technology, not replace it. Backed by significant funding and trusted by thousands of facilities and hundreds of thousands of users, we combine cutting-edge technology with meaningful social impact. We are looking for a Senior ML Engineer to join our dynamic team and contribute to our mission.

Baseten powers mission-critical inference for leading AI companies by uniting applied AI research, flexible infrastructure, and seamless developer tooling. We enable companies at the frontier of AI to bring cutting-edge models into production. This role focuses on the applied end of post-training research, working directly with stakeholders from fast-growing AI companies to post-train open-source models that outperform frontier closed models on specialized tasks. The day-to-day involves extracting signal from complex, domain-specific datasets and building reward functions, environments, eval harnesses, and training pipelines to improve models that ship to production and reach millions of users.

$200k - $275k

MeridianLink is seeking an AI Architect to define and lead the reference architecture for AI and intelligent automation across its internal business operations. This role will enable secure, scalable AI-powered workflows and accelerate enterprise-wide business transformation by designing, scoping, and implementing complex AI systems. The architect will own the end-to-end design and development of modern AI solutions and intelligent automation platforms that drive process optimization, advanced analytics, decision intelligence, and autonomous workflows across various business functions. Responsibilities include designing secure, reliable, and scalable solutions aligned with operational requirements, regulatory standards, and enterprise governance frameworks, combining deep technical expertise with a hands-on approach to architecture, engineering leadership, and business enablement.

$150k - $200k

NVIDIA is seeking a Senior MLOps Engineering Manager to lead the build, development, and operation of large-scale, end-to-end data and ML pipelines that power the company's autonomous driving products. This role involves leading a highly technical engineering team responsible for building and operating cloud-scale pipelines that ingest, validate, process, and transform multimodal sensor data into high-quality training, evaluation, and validation datasets. These pipelines are foundational to the autonomous vehicle program and directly enable customer-facing autonomy features. The ideal candidate will be a seasoned engineering leader with strong ownership and a passion for customer-focused development, capable of scaling systems and teams in a fast-paced, multi-functional environment.

$272k - $431k

Databricks

Databricks is seeking a Senior Developer Advocate for AI and Machine Learning to be the voice of the company within the Bay Area AI community. This role serves as a critical link between Databricks' engineering teams and the global community of data scientists and AI engineers. The ideal candidate is a hands-on practitioner in generative AI, agents, and MLOps, passionate about enabling others to build, evaluate, govern, and ship agentic systems on the Databricks Data + AI Platform. You will translate community insights into production-ready reference implementations, demos, and content, fostering genuine relationships with AI practitioners and influencing product roadmaps.

$149k - $205k

Databricks

Databricks is seeking a Senior Developer Advocate for AI and Machine Learning to be the voice of the company within the Bay Area AI community. This role serves as a critical link between Databricks' engineering teams and the global community of data scientists and AI engineers. The ideal candidate is a hands-on practitioner in generative AI, agents, and MLOps, passionate about enabling others to build, evaluate, govern, and ship agentic systems on the Databricks Data + AI Platform. You will translate community insights into production-ready reference implementations, demos, and content, fostering genuine relationships with AI practitioners and influencing product roadmaps.

$133k - $186k

Blissway is a startup focused on simplifying toll collection and improving highway safety through deep tech, AI/ML, hardware, SaaS, and IoT. We have established a significant technological lead in the global tolling industry and operate with a lean, growing team. This role is for an engineer who is passionate about taking machine learning models from development to reliable production environments. You will be responsible for the infrastructure, deployment, and monitoring that ensures models are accurate and performant in real-world applications, processing millions of images daily.

$150k - $195k

NVIDIA is seeking a talented Machine Learning Engineer to focus on Product Security, Content Safety, and ML Fairness and Robustness for LLMs across research and production teams. This role involves assessing, quantifying, and improving the safety and inclusivity of multi-modal LLM models in a scalable manner. You will develop datasets and models for training and evaluating systems related to Content Safety, ProdSec, Robustness, and ML Fairness. The position also includes researching and implementing techniques for bias detection and mitigation in LLMs and RAG systems, defining key metrics for responsible LLM behavior, and adhering to MLOps best practices for automation, monitoring, scale, and safety. You will also contribute to the MLOps platform and develop safety tools to enhance ML team effectiveness, collaborating with cross-functional teams to address content safety and ML fairness challenges.

$124k - $242k

Sierra is seeking a Software Engineer for its Inference team to build the systems that power their AI agents. This role focuses on making foundation models fast, reliable, and efficient at scale. You will define the inference architecture, working on systems for serving, routing, capacity management, and optimization for latency, reliability, and cost. This is a systems-first role at the intersection of distributed infrastructure and AI, requiring strong distributed systems fundamentals and experience with complex systems problems.

$230k - $390k

NVIDIA is seeking a System Software Engineer specializing in Agentic Retrieval to join our team at the forefront of the AI revolution. You will develop pipelines for indexing and querying multi-modal content, working with Generative AI, LLM, VLLM, and Agentic Retrieval technologies on our innovative hardware and software platforms. This role is crucial for accelerating containerized pipelines for high-quality multi-modal datasets and enhancing retrieval efficacy. You will focus on developing efficient, scalable systems for data processing, deduplication, filtering, and classification for tailored models, with an emphasis on iterative testing and improvement in system cost, speed, and accuracy through micro-optimization, prompt engineering, fine-tuning, and applying new research.

$184k - $357k

Moveworks is seeking an Agentic AI Harness Architect to define the technical vision for our agentic AI harness. This role involves planning, selecting tools, managing context, and implementing memory, critique, reflection, adaptation, and recovery mechanisms for AI agents. You will invent and prototype algorithms to enable agents to complete complex tasks with minimal supervision and high reliability. The position requires designing model-agnostic abstractions to integrate foundation models, specialized agents, enterprise tools, and workflows, while developing approaches for agent memory and learning that prioritize enterprise security and privacy. You will also create rigorous benchmarks and evaluation methods for agent performance and explore advanced methods like iterative planning, self-critique, and multi-agent coordination. The role includes building prototypes, identifying promising ideas, and collaborating with platform and product teams to bring them to production, while remaining hands-on with code and experiments.

$201k - $352k

As a Senior Applied AI/ML Scientist on the Search team, you will shape the technical vision, machine-learning algorithm strategy, and system design behind Faire's Search functionality. You will advance real-time search and recommendation systems that power next-generation shopping experiences by working at the frontier of algorithms, combining query understanding, deep learning, transformer-based sequential modeling, graph neural networks, and structured behavioral data to return hyper-relevant, personalized products and brands for every user query. This is a chance to influence the end-to-end personalized discovery experience at Faire within a high-scale, deeply multi-modal environment, collaborating closely with a talented team of scientists and engineers.

$211k - $291k

Accenture

You will design, build, and deploy production-grade agentic AI systems across the full enterprise technology stack. This role involves working directly with client engineering teams, leading technical design sessions, and building reusable patterns and accelerators that scale beyond individual engagements. You will gain breadth across every industry, every enterprise technology stack, and every level of organizational complexity, combined with vendor fellowship access inside leading AI companies and a direct pathway to advanced engineering programs.

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

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

Arize AI is seeking an experienced Forward Deployed AI Engineer to join their client-facing team. This role involves working directly with client engineering teams to manage projects and drive technical solutions that extend beyond Arize's core platform. The position requires a blend of deep AI expertise and business acumen to deliver results under tight deadlines while fostering strong client relationships. While the company operates as remote-first, candidates must be based in the San Francisco Bay area/PST time zone for this specific role.

$155k - $190k