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Senior Tesla Machine Learning Engineer Jobs in Oregon

Senior Machine Learning Test Engineer

OR · On-site +1

$110K - $143K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East Coast Position Overview As a Senior Machine Learning Test Engineer in the Research Enablement team ...

As a Principal Machine Learning Engineer on the Agentic AI team, you will: * Leverage frameworks like AgentSDK, and LangChain/LangGraph to design, prototype, and develop multi-agent systems that are ...

OR · On-site

$104K - $143K/yr

GPU Deep Learning has provided the foundation for machines to learn, perceive, reason and solve ... We are now looking for an extraordinary Senior Perception Engineer to develop and productize NVIDIA ...

OR · On-site

$91K - $124K/yr

Overview As a Senior Machine Learning Engineer II on the Ads Response Prediction team, you will lead the design and development of core ML models that power Instacart's ads ecosystem. This is a ...

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Senior Tesla Machine Learning Engineer information

How does a Senior Machine Learning Engineer at Tesla typically collaborate with cross-functional teams?

As a Senior Machine Learning Engineer at Tesla, you will frequently work alongside software developers, data scientists, product managers, and hardware engineers. Collaboration is highly cross-functional, with regular meetings to align on project goals, data requirements, and model deployment strategies. You may be involved in translating business objectives into machine learning solutions, sharing insights with non-technical stakeholders, and refining algorithms based on feedback from various departments. This collaborative environment fosters innovation and ensures that machine learning models are well-integrated into Tesla's products and systems.

What are the key skills and qualifications needed to thrive as a Senior Tesla Machine Learning Engineer, and why are they important?

To thrive as a Senior Tesla Machine Learning Engineer, you need deep expertise in machine learning algorithms, strong programming skills in Python or C++, and a proven track record in deploying models at scale, often supported by an advanced degree in computer science or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, experience working with large datasets, and cloud computing platforms are typically required, as well as knowledge of Tesla's proprietary systems. Exceptional problem-solving, collaboration, and communication skills distinguish top performers in this role. These abilities are crucial for developing advanced AI solutions that power Tesla's autonomous systems and for driving innovation in a highly competitive, fast-evolving environment.

What is the difference between Senior Tesla Machine Learning Engineer vs Data Scientist?

AspectSenior Tesla Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, EE, or related; experience in ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models for autonomous vehicles, energy, and manufacturingAnalyzes data to extract insights, supports product and business decisions
Employer & Industry UsageTesla, automotive, energy, AI projectsVarious industries including tech, finance, healthcare

While both roles involve working with data and algorithms, the Senior Tesla Machine Learning Engineer focuses on developing and deploying machine learning models for Tesla's products, especially autonomous systems. In contrast, a Data Scientist primarily analyzes data to inform business decisions across various industries. The ML Engineer role requires deeper expertise in machine learning frameworks and deployment, whereas Data Scientists focus more on statistical analysis and data visualization.

What does a Senior Tesla Machine Learning Engineer do?

A Senior Tesla Machine Learning Engineer leads the development and deployment of advanced machine learning models to improve Tesla’s products, such as Autopilot, Full Self-Driving, and manufacturing optimization. They collaborate with multidisciplinary teams to collect data, design algorithms, and ensure models are robust and scalable. In this role, engineers are expected to mentor junior staff, drive research initiatives, and help translate cutting-edge AI advancements into real-world Tesla applications.
What are the most commonly searched types of Tesla Machine Learning Engineer jobs in Oregon? The most popular types of Tesla Machine Learning Engineer jobs in Oregon are:
What are popular job titles related to Senior Tesla Machine Learning Engineer jobs in Oregon? For Senior Tesla Machine Learning Engineer jobs in Oregon, the most frequently searched job titles are:
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Senior Machine Learning Engineer, MLOps West Coast

Senior Machine Learning Engineer, MLOps West Coast

Autodesk

Portland, OR

$131K - $235K/yr

Other

Posted 2 days ago


Autodesk rating

9.5

Company rating: 9.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

7th of 188 rated software companies


Job description

Job Requisition ID #

26WD96432

Position Overview

The work we do at Autodesk touches nearly every person on the planet. By creating software tools for making buildings, machines, and even the latest movies, we influence and empower some of the most creative people in the world.

As a Senior Machine Learning Engineer focused on Machine Learning Ops (MLOps) for CAD and BIM, you will ensure AI-powered experiences meet high standards for reliability, scalability, and operational excellence across Autodesk products. You will build and operate the infrastructure that takes models from development into production, including deployment automation, monitoring, and secure, scalable service integration. You will partner closely with researchers, evaluation engineers, and product teams to translate evaluation requirements into production quality gates, reduce operational risk, and continuously improve model performance in real customer environments.

You will report to a manager in the Model Delivery team within Autodesk Research. This role is based in proximity to our North American west coast offices, including San Francisco, Portland, and Vancouver. We support both in-person, hybrid, and remote work.

Responsibilities

  • Test and Deploy Production Models: Automate model testing and validation. Implement and operate CI/CD pipelines to enable safe, repeatable deployments and rollbacks.

  • Operate Inference Services: Provision and manage backend resources for inference (compute, containers, scaling), and tune performance, reliability, and cost in production.

  • Monitor Model Health and Performance: Define and continuously monitor health and performance metrics for deployed services. Triage issues by severity and drive timely resolution, including incident response and runbooks.

  • REST API Integration: Own end-to-end REST API integration, connecting backend model services to product and platform surfaces through scalable, containerized services.

  • Product Ownership and Cross-functional Collaboration: Work with researchers, evaluation engineers, product managers, and partner engineering teams to deliver production-ready solutions, communicate status and risks, and escalate when needed.

Minimum Qualifications

  • BS or MS in Computer Science, Computer Engineering, or equivalent industry experience.

  • 3+ years of professional software engineering experience building and operating production services.

  • Experience automating testing and deployments using CI/CD, including release workflows that support safe rollouts and rollbacks.

  • Experience building and operating cloud hosted, containerized services (for example Docker and Kubernetes or similar), including provisioning resources and scaling inference workloads.

  • Experience building REST APIs using Python based frameworks (or similar), and integrating backend services with product or platform consumers.

  • Strong software engineering fundamentals: version control, code quality, and writing maintainable, testable software.

  • Strong written communication skills to document architectures, runbooks, and operational processes.

Preferred Qualifications

  • Experience running production ML or LLM inference services, including performance tuning, cost optimization, and capacity planning.

  • Experience with observability tooling and practices (metrics, logging, tracing, alerting) and incident response in an on-call environment.

  • Experience deploying services within an enterprise internal platform environment with standardized pipelines, security controls, and compliance requirements.

  • Familiarity with rate limiting, authentication and authorization, and API security best practices.

  • Familiarity with design, manufacturing, or AEC workflows, and how backend services integrate into CAD/BIM product experiences.

  • Familiarity with Agile or Scrum ways of working.

Learn More

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Benefits

From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting https://benefits.autodesk.com/

Salary transparency

Salary is one part of Autodesk's competitive compensation package. For U.S.-based roles, we expect a starting base salary between $131,400 and $235,950. Offers are based on the candidate's experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Equal Employment Opportunity

At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.

Diversity & Belonging

We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging

Are you an existing contractor or consultant with Autodesk?

Please search for open jobs and apply internally (not on this external site).


Autodesk logo

About Autodesk

Sourced by ZipRecruiter

Autodesk is changing how the world is designed and made. Our technology spans architecture, engineering, construction, product design, manufacturing, media, and entertainment, empowering innovators everywhere to solve challenges big and small. From greener buildings to smarter products to more mesmerizing blockbusters, Autodesk software helps our customers to design and make a better world for all. For more information visit autodesk.com or follow @autodesk.

Industry

Software development

Company size

10,000+ Employees

Headquarters location

San Rafael, CA, US

Year founded

1982