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Senior Tesla Machine Learning Engineer Jobs in North Carolina

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 ...

Vadum Inc

Machine Learning Engineer

Raleigh, NC · On-site

We are seeking a talented and innovative Machine Learning Engineer to join our dynamic team. In ... Generate content for status meetings with customers as a senior technical contributor. * Research ...

Vadum Inc

Machine Learning Engineer

Raleigh, NC · On-site

We are seeking a talented and innovative Machine Learning Engineer to join our dynamic team. In ... Generate content for status meetings with customers as a senior technical contributor. * Research ...

RIT Solutions, Inc.

Sr Machine Learning Engineer

Raleigh, NC · On-site

$101K - $139K/yr

RIT Solutions, Inc. is seeking a Senior Machine Learning Engineer. The role involves deploying machine learning models at scale and working with cloud services, Kubernetes, and orchestration of ...

Vadum, Inc.

Machine Learning Engineer

Raleigh, NC · On-site

$96K - $137K/yr

We are seeking a talented and innovative Machine Learning Engineer to join our dynamic team. In ... Generate content for status meetings with customers as a senior technical contributor. * Research ...

CoVar

Machine Learning Engineer

Durham, NC · On-site

The Machine Learning Engineer will develop software and machine learning algorithms to address real-world customer issues and will have opportunities to present their work to high-level customers.

CoVar

Machine Learning Engineer

Durham, NC · On-site

Machine Learning Engineer About CoVar CoVar is a small AI/ML R&D software company in Durham, NC, that uses artificial intelligence to solve problems that matter. We develop AI/ML tools to help the ...

Judi Health

Senior Machine Learning Engineer

Charlotte, NC · On-site

$161K - $202K/yr

Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Senior Machine Learning Engineer. We are looking for an experienced software engineer with machine learning expertise ...

Socket.dev

Senior Machine Learning Engineer

Charlotte, NC · On-site

$135 - $169/hr

Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Senior Machine Learning Engineer. We are looking for an experienced software engineer with machine learning expertise ...

CoVar

Machine Learning Engineer

Durham, NC · On-site

... machine learning, Bayesian models, etc. • B.S., preferably M.S. or Ph.D in engineering, math, computer science, or related field • Excellent technical communication skills • Ability to work in ...

CRC Group

Machine Learning Engineer

Charlotte, NC · On-site

$140 - $180/hr

## Machine Learning EngineerApplylocations: Charlotte NC - 600 S Tryon St.: Morrisville NC, 3015 ... Leverage continuous engineering practices to deliver business value regarding effectiveness of the ...

The Hartford

Sr AI Machine Learning Engineer

Charlotte, NC · Hybrid

$117K - $175K/yr

The Hartford is seeking Senior AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team. The Hartford is developing industryleading ...

Compunnel

Machine Learning Engineer Lead

Raleigh, NC · On-site

$99K - $131K/yr

Job Summary The Machine Learning Engineer Lead will define and lead the architecture of scalable AI ... This senior technical leadership role will focus on large-scale distributed ML systems, LLM and RAG ...

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Senior Tesla Machine Learning Engineer information

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 popular job titles related to Senior Tesla Machine Learning Engineer jobs in North Carolina?

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

What job categories do people searching Senior Tesla Machine Learning Engineer jobs in North Carolina look for?

The top searched job categories for Senior Tesla Machine Learning Engineer jobs in North Carolina are:

What cities in North Carolina are hiring for Senior Tesla Machine Learning Engineer jobs?

Cities in North Carolina with the most Senior Tesla Machine Learning Engineer job openings:

Senior Tesla Machine Learning Engineer jobs near you
Infographic showing various Senior Tesla Machine Learning Engineer job openings in North Carolina as of June 2026, with employment types broken down into 90% Full Time, 8% Part Time, and 2% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution.

Senior Machine Learning Engineer

Raleigh, NC • On-site

Compunnel
IT Services • 501 - 1,000 employees
Learn more about Compunnelexternal

$101K - $139K/yr

Contractor

Posted 10 days ago

Job description

Job Summary:
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, leveraging Python and large language models (LLMs) to solve complex legal workflows. You will drive experimentation, modeling, and evaluation, partnering closely with data scientists to translate validated approaches into scalable, customer-facing solutions.
Key Responsibilities:
• Design, build, and deploy scalable machine learning and generative AI solutions for legal technology products.
• Develop and optimize NLP, LLM, and Retrieval-Augmented Generation (RAG) applications for production environments.
• Engineer agentic AI workflows and multi-step reasoning systems to automate complex legal processes.
• Implement and improve retrieval systems, including vector databases, semantic search, lexical search, and hybrid search architectures.
• Build and maintain ML pipelines, APIs, model serving infrastructure, and cloud-based AI platforms.
• Establish MLOps best practices for model deployment, monitoring, observability, versioning, and lifecycle management.
• Evaluate and optimize model performance, latency, scalability, and cost efficiency across AI applications.
• Partner with product managers, legal subject matter experts, data scientists, and software engineers to deliver business-focused AI solutions.
• Troubleshoot production ML systems, identify performance bottlenecks, and implement continuous improvements.
• Provide technical leadership and mentorship on machine learning engineering, LLM architecture, and AI platform best practices.
Required Qualifications:
• 7-10+ years of AI/machine learning engineering experience, including building RAG systems end-to-end and deploying solutions through production.
• Strong software and Python engineering background, with progression into machine learning engineering.
• Experience designing agentic workflows and applying generative AI techniques, including prompt engineering and end-to-end RAG system development.
• Strong experience working with unstructured data, including text and documents, document processing, NLP, embeddings, retrieval, and agentic systems.
• Strong experience creating production-grade ML systems at scale.
• Strong LLM, Generative AI, and RAG deployment experience, including implementation and end-to-end evaluation.
• Experience with the complete deployment lifecycle, including product development, production maintenance, and new feature development.
• Experience working alongside data scientists throughout the production deployment and lifecycle.
• Strong Python programming skills.
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About Compunnel

Sourced by ZipRecruiter

Compunnel is a well-known company located in Plainsboro, NJ, US, recognized in the industry of IT Services and Solutions. Established in 1989, Compunnel offers a suite of services that help businesses integrate technology efficiently into their operations, a recognizable name in the IT solutions sphere for over three decades. The company’s service portfolio includes Digital Transformation, Business Intelligence, Cloud Services, Cybersecurity, and Application Modern Services, among others. Guided by its mission "to innovate with industry-leading digital solutions and disruptive tech strategies for unimagining business growth," the company underlines its commitment to offering out-of-the-box solutions to its clients. Remarkable achievements of the company include serving more than 30 Fortune 500 companies and providing job opportunities for over 50,000 individuals.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

1994

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