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Senior Tesla Machine Learning Engineer Jobs in Manchester, NH

Senior Machine Learning Engineer (3968)

Manchester, NH · On-site

$104K - $142K/yr

Senior Machine Learning Engineer The Senior Machine Learning Engineer is a senior individual contributor responsible for designing, developing, deploying, and continuously improving machine learning ...

Senior Machine Learning Engineer The Senior Machine Learning Engineer is a senior individual contributor responsible for designing, developing, deploying, and continuously improving machine learning ...

Senior Machine Learning Engineer (3968)

Manchester, NH · On-site

$104K - $142K/yr

Senior Machine Learning Engineer The Senior Machine Learning Engineer is a senior individual contributor responsible for designing, developing, deploying, and continuously improving machine learning ...

We're looking for a Machine Learning Engineer who can operate at the intersection of backend engineering and applied machine learning. If you want to design distributed systems, deploy production ML ...

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Showing results 1-20

Senior Tesla Machine Learning Engineer information

See Manchester, NH salary details

$59.2K

$126K

$182.7K

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

As of Sep 1, 2026, the average yearly pay for senior tesla machine learning engineer in Manchester, NH is $126,009.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $142,900.00 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.

What are the most commonly searched types of Tesla Machine Learning Engineer jobs in Manchester, NH?

The most popular types of Tesla Machine Learning Engineer jobs in Manchester, NH are:

What are popular job titles related to Senior Tesla Machine Learning Engineer jobs in Manchester, NH?

For Senior Tesla Machine Learning Engineer jobs in Manchester, NH, the most frequently searched job titles are:

What job categories do people searching Senior Tesla Machine Learning Engineer jobs in Manchester, NH look for?

The top searched job categories for Senior Tesla Machine Learning Engineer jobs in Manchester, NH are:

Infographic showing various Senior Tesla Machine Learning Engineer job openings in Manchester, NH as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 24% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $126,009 per year, or $60.6 per hour.

Machine Learning Engineer

HCL Global Systems Inc

Merrimack, NH • On-site

Full-time

Re-posted 20 hours ago


Job description

Job Summary:
HCL Global Systems Inc is seeking a Machine Learning Engineer with hands-on experience in software development and cloud technologies. The role involves architecting large scale systems and applying research in machine learning models, particularly in natural language processing and MLOps.
Responsibilities:
• Demonstrated Hands On Experience with the following is required, as well as leading teams implementing:
• Software development and delivery cycle
• Architecting large scale systems
• Experience in Cloud technologies including Docker, Kubernetes, AWS, Azure, GCP
• NodeJS or Python
• REST APIs
• An established track record performing applied research in one or more of the following areas:
• Building and evaluating Natural Language Processing related Machine Learning Models
• MLOps in automating Machine Learning Model services refreshing cycle
• Integrating Machine Learning Model services with existing runtime conversation handling system
Qualifications:
Required:
• Demonstrated Hands On Experience with the following is required, as well as leading teams implementing: Software development and delivery cycle
• Architecting large scale systems
• Experience in Cloud technologies including Docker, Kubernetes, AWS, Azure, GCP
• NodeJS or Python
• REST APIs
• An established track record performing applied research in one or more of the following areas: Building and evaluating Natural Language Processing related Machine Learning Models
• MLOps in automating Machine Learning Model services refreshing cycle
• Integrating Machine Learning Model services with existing runtime conversation handling system
Company:
HCL Global Systems is a staffing and recruiting company providing consulting and business solutions. Founded in 2005, the company is headquartered in Farmington Hills, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

HCL Global Systems logo

About HCL Global Systems

Sourced by ZipRecruiter

HCL Global Systems is One of the Best IT Consulting Firm specialized in Application Development, Quality Testing, IT Courses Training, Staffing and Recruitment services. With wide range of experience, We are confident in our ability to help our Customers grow and improve their businesses. More than likely, regardless of the nature and scope of the problem, Our dedicated Team of Professionals can help you to achieve a cost effective business solution.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Farmington Hills, MI, US

Year founded

2005