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Senior Tesla Machine Learning Engineer Jobs (NOW HIRING)

Prosum Inc.

Sr. Machine Learning Engineer

Phoenix, AZ · On-site

$130K - $150K/yr

Sr. Machine Learning Engineer Salary Range: $130k to $150k Our client is seeking a Sr. Machine Learning Engineering for a direct hire role to sit in North Phoenix, AZ or Hillsboro, OR. This role will ...

Paylocity

Senior Machine Learning Engineer

$125K - $165K/yr

Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning Engineering organization! Our machine learning engineering team is responsible for developing ...

Paylocity

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning Engineering organization! Our machine learning engineering team is responsible for developing ...

Paylocity

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning Engineering organization! Our machine learning engineering team is responsible for developing ...

Compunnel

Senior Machine Learning Engineer

Raleigh, NC · On-site

$101K - $139K/yr

We are seeking a Senior Machine Learning Engineer to help lead the design and validation of AI-driven product capabilities within the legal domain. This role focuses on defining what to build and why ...

PROPRIUS

Senior Machine Learning Engineer

New York, NY

$114K - $157K/yr

Sr. Machine Learning Engineer Location: New York, NY Sponsorship: Yes Relocation: Yes Industry: Machine Learning A leading provider of AI is looking for a Sr. ML Engineer. Our client is an industry ...

Tapestry

Machine Learning Engineer

Mountain View, CA · On-site

Work with senior team members to develop enterprise quality ML systems, spanning multiple ML ... machine learning model development and engineering. * Expertise in one or more of the following ...

Paylocity

Senior Machine Learning Engineer

$125K - $165K/yr

Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning Engineering organization! Our machine learning engineering team is responsible for developing ...

Tapestry

Machine Learning Engineer

Mountain View, CA · On-site

Work with senior team members to develop enterprise quality ML systems, spanning multiple ML ... machine learning model development and engineering. * Expertise in one or more of the following ...

Forhyre

Machine Learning Engineer

New York, NY

We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining ...

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Senior Tesla Machine Learning Engineer information

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$59.5K

$126.6K

$183.5K

How much do senior tesla machine learning engineer jobs pay per year?

As of Aug 27, 2026, the average yearly pay for senior tesla machine learning engineer in the United States is $126,557.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $143,500.00 per year, depending on experience, location, and employer.

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 key skills and qualifications needed to thrive as a senior Tesla machine learning engineer?

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.

How does a senior Tesla machine learning engineer 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 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.

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Senior Tesla Machine Learning Engineer jobs near you
Infographic showing various Senior Tesla Machine Learning Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $126,557 per year, or $60.8 per hour.

Sr. Machine Learning Engineer, Network Engineering

Tesla

Fremont, CA • On-site

$114K - $156K/yr

Full-time

Re-posted yesterday

Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 687 frontline employees who took The Breakroom Quiz

1st of 45 rated automakers

Job description

Job Summary:
Tesla is seeking a highly skilled Senior Machine Learning Engineer to lead the development of a platform that integrates large scale LLM training with advanced network data processing and intelligent diagnostics. The role involves designing and maintaining machine learning pipelines, developing scalable backend services, and collaborating with networking experts to enhance operational capabilities.
Responsibilities:
• Design, build, and maintain pipelines for LLM pretraining, supervised fine-tuning (SFT), reward modeling, PPO/RLHF, and model evaluation
• Develop scalable backend services and distributed training infrastructure
• Build data-ingestion and transformation pipelines for networking datasets including device inventory, topology data, ARP/MAC tables, routing state, metrics, telemetry, and logs
• Normalize and model heterogeneous networking data to support ML workflows and agent inference
• Develop intelligent agent capabilities, including intent classification, context tracking, troubleshooting logic, and action-routing workflows
• Collaborate with networking domain experts to translate operational needs into model and platform capabilities
• Implement CI/CD, model versioning, orchestration, and production-grade deployment pipelines
• Drive architectural decisions to ensure scalability, modularity, reliability, and performance
Qualifications:
Required:
• 5+ years of experience in applied ML, ML systems, or backend platform engineering
• Strong experience with LLM training, including SFT, LoRA/PEFT, RLHF, reward modeling, and PPO
• Proficiency with PyTorch and distributed training technologies
• Solid backend engineering skills in Python, including APIs, microservices, data modeling, and containerization
• Strong understanding of networking fundamentals such as IP addressing, Ethernet, VLANs, routing protocols (BGP/OSPF/ISIS), and topology concepts
• Experience working with networking telemetry or operational data (SNMP, flow data, metrics, logs, routing/forwarding tables)
• Ability to interpret and model complex network states, device relationships, and diagnostic patterns
Company:
Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and renewable energy solutions. Founded in 2003, the company is headquartered in Austin, USA, with a team of 10001+ employees. The company is currently Late Stage.

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