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Internship Tesla Machine Learning Engineer Jobs (NOW HIRING)

Machine Learning Engineer Role Summary: The Machine Learning Engineer is responsible for developing and implementing machine learning models and algorithms to solve complex problems. Main ...

Job Summary We are seeking a Machine Learning Engineer with strong expertise in machine learning model development, data engineering, and modern cloud-based analytics platforms. This role will focus ...

Comprising brilliant engineers and visionaries, the team designs and develops advanced AI inference chips tailored to accelerate Tesla's machine learning capabilities. A key part of this effort is ...

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

Machine Learning Engineer As a Machine Learning Engineer , you will play a critical role in designing, developing, and deploying advanced machine learning solutions that drive innovation and create ...

The ideal candidate has a strong engineering mindset, has contributed to shipping ML features or ... internships, or realworld projects involving applied machine learning. #LI-WA1 #LI-HYBRID

As a Machine Learning Engineer at Mariana, you'll help build and improve the machine learning ... Desired Qualifications * 0-4 years of experience (including internships or research) in machine ...

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

Machine Learning Engineer

Ann Arbor, MI · On-site

$120K - $160K/yr

As a Machine Learning Engineer at Mariana, you'll help build and improve the machine learning ... Desired Qualifications * 0-4 years of experience (including internships or research) in machine ...

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Internship Tesla Machine Learning Engineer information

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$25.5K

$42.6K

$88K

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

As of Jun 23, 2026, the average yearly pay for internship tesla machine learning engineer in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

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

AspectInternship Tesla Machine Learning EngineerData Scientist Intern
Required CredentialsRelevant coursework, programming skills, possibly some machine learning knowledgeStatistics, data analysis, programming skills, often some machine learning understanding
Work EnvironmentHands-on projects in AI/ML teams at Tesla, collaborative, fast-pacedData analysis tasks, reporting, modeling in various departments, collaborative
Employer & Industry UsageTesla, automotive, AI, and autonomous driving sectorsVarious industries including tech, finance, healthcare, often within data teams

Both roles involve data and programming skills, but the Tesla Machine Learning Engineer internship focuses more on developing AI/ML models for autonomous systems, while Data Scientist Internships typically emphasize data analysis and insights across different business areas.

What types of projects do Machine Learning Engineer interns at Tesla typically work on, and how much ownership do they have over their work?

Machine Learning Engineer interns at Tesla are often involved in projects that directly contribute to the development of advanced AI systems, such as autonomous driving, predictive analytics, or manufacturing optimization. Interns are typically given meaningful, hands-on tasks and are expected to take significant ownership of specific components or models within a larger project. Collaboration with senior engineers and cross-functional teams is common, providing exposure to Tesla's fast-paced, innovative work culture. Interns also have opportunities to present their work to leadership and receive mentorship, which can be valuable for future career growth.

What does an Internship Tesla Machine Learning Engineer do?

An Internship Tesla Machine Learning Engineer assists in developing and improving machine learning models used in Tesla’s products and operations. Interns typically work on data preprocessing, algorithm development, and model evaluation under the guidance of senior engineers. Their projects may involve computer vision, natural language processing, or predictive analytics applied to Tesla’s vehicles, manufacturing, or autonomous driving systems. The internship offers hands-on experience with real-world data and cutting-edge technology, helping students build valuable industry skills.

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

To thrive as an Internship Tesla Machine Learning Engineer, you need a solid background in computer science, mathematics, and machine learning principles, often supported by progress toward a relevant bachelor’s or master’s degree. Familiarity with Python, TensorFlow or PyTorch, and experience using data processing tools and version control systems are typically required. Strong problem-solving, communication skills, and the ability to collaborate effectively in a fast-paced team environment will set you apart. These skills and qualities are crucial for contributing to high-impact projects and advancing cutting-edge AI solutions at Tesla.
More about Internship Tesla Machine Learning Engineer jobs
What cities are hiring for Internship Tesla Machine Learning Engineer jobs? Cities with the most Internship Tesla Machine Learning Engineer job openings:
What are the most commonly searched types of Tesla Machine Learning Engineer jobs? The most popular types of Tesla Machine Learning Engineer jobs are:
What states have the most Internship Tesla Machine Learning Engineer jobs? States with the most job openings for Internship Tesla Machine Learning Engineer jobs include:
Infographic showing various Internship Tesla Machine Learning Engineer job openings in the United States as of June 2026, with employment types broken down into 2% Internship, 1% As Needed, 1% Full Time, 95% Part Time, and 1% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Machine Learning Engineer

Machine Learning Engineer

ProSidian Consulting, LLC

Alexandria, VA • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


Job description

Job Description: Company Description ProSidian is a Management And Operations Consulting Services firm that focuses on providing value to clients through tailored solutions based on industry-leading practices. ProSidian provides enterprise services/solutions for Risk Management | Compliance | Business Process | IT Effectiveness | Engineering | Environmental | Sustainability | Human Capital. We help forward-thinking clients solve problems and improve operations. Launched by Management Consultants, our multidisciplinary teams bring together the talents of global professionals to complete a wide range of engagements for public and private, defense and civilian government, and non-profit organizations. Our solution-centric services are deployed across the enterprise, target drivers of economic profit (growth, margin, and efficiency), and are aligned at the intersections of assets, processes, policies, and people delivering value. See Link To the ProSidian website at www.ProSidian.comJob Description ProSidian Seeks a Machine Learning Engineer | Data Management & Business Intelligence - Predictive Workforce Analytics [NSF0117117] for Program Support on a Exempt W2: No Overtime Pay Basis located in the Mid Atlantic Region and listed under a Systems Engineer Labor Category as a Engagement Team Mid Level Professional aligned under services related to NAICS: 541611 - Management and Financial Consulting, Acquisition and Grants Management Support, and Business Program and Project Management Services - DPLH Est.: 1920 Hrs. ST | 0 Hrs. OT on a Exempt W2: No Overtime Pay Contract Contingent Basis, generally located across the Alexandria, VA (Hybrid) Across The Mid Atlantic Region supporting a Human Capital Analytics & IT Modernization for Federal science agency HR modernization The Machine Learning Engineer | Data Management & Business Intelligence - Predictive Workforce Analytics [NSF0117117] is aligned with GSA Labor Category: Systems Engineer. We seek Machine Learning Engineer | Data Management & Business Intelligence - Predictive Workforce Analytics [NSF0117117] candidates with relevant Government And Public Services Sector Experience (functional and technical area expertise also ideal) to support professional services engagement for Government And Public Services Sector Clients such as NSF. 0 JOB OVERVIEW Provide services and support as a Machine Learning Engineer [Business Analytics Support: HR Technology Ecosystem, And Enterprise-Wide Decision-Making Capabilities Enhancement] in the Government And Public Services Industry Sector focusing on HC | Human Capital Solutions for clients such as National Science Foundation (NSF | OCHCO / OCIO) | Office of the Chief Human Capital Officer (OCHCO) / Office of the Chief Information Officer (OCIO) Generally Located In Alexandria, VA (Hybrid) and across the Mid Atlantic Region (Of Country/World) Working Hybrid On/Off Client Site. Deliver innovative solutions that improve operational efficiency through digital transformation and process automation; enhance data-driven decision-making using role-based advanced analytics and business intelligence; support regulatory compliance and adherence to federal human capital management policies; facilitate seamless integration of IT systems and workforce planning tools; optimize service delivery through performance-based outcomes and SLAs. Predictive Workforce Analytics: Implement and maintain workforce analytics dashboards and predictive models using agency-standard analytics platforms (e.g., Oracle Analytics Server (OAS), Power BI, Tableau) and appropriate machine learning tools, in coordination with OCIO and existing data architecture. RESPONSIBILITIES AND DUTIES - Machine Learning Engineer | Data Management & Business Intelligence - Predictive Workforce Analytics [NSF0117117] Deliver innovative solutions that improve operational efficiency through digital transformation and process automation; enhance data-driven decision-making using role-based advanced analytics and business intelligence; support regulatory compliance and adherence to federal human capital management policies; facilitate seamless integration of IT systems and workforce planning tools; optimize service delivery through performance-based outcomes and SLAs. Predictive Workforce Analytics: Implement and maintain workforce analytics dashboards and predictive models using agency-standard analytics platforms (e.g., Oracle Analytics Server (OAS), Power BI, Tableau) and appropriate machine learning tools, in coordination with OCIO and existing data architecture. Machine Learning Engineer Candidates work to facilitate Predictive Workforce Analytics delivering Data Management & Business Intelligence - Predictive Workforce Analytics through Build ML | deploy models | improve accuracy. Further, they Develop ML pipelines for workforce analytics. Machine Learning Engineer Professionals typically cover Predictive Workforce Analytics Functional Area / Swim Lane / Category Disciplines and serve as Senior specialist or technical lead scope requiring independent execution, strong subject-matter expertise, and responsibility for complex deliverables.. They Engineer, test, and optimize technical components for Predictive Workforce Analytics; support system integration, data pipelines, automation routines, cloud services, and operational reliability. The role(s) are located in the Mid Atlantic Region, at or near Alexandria, VA (Hybrid). Initially identified Work Site Address (Working Hybrid On/Off Client Site: 401 Dulany Street Randolph Building Alexandria, VA 22314Qualifications Desired Qualifications For Machine Learning Engineer | Data Management & Business Intelligence - Predictive Workforce Analytics [NSF0117117] (NSF0117117) Candidates: 5+ years ML. Education / Experience Requirements / Qualifications Bachelor’s/Master’s. 5+ years ML. Skills Required Primarily focused on Management and Financial Consulting, Acquisition and Grants Management Support, and Business Program and Project Management Services initiatives and aligned with Program Support activities Data Management & Business Intelligence - Predictive Workforce Analytics Functional Area Activities. ML, Python Competencies RequiredProblem solving Ancillary Details Of The RolesArtifacts: pipelinesStandard Skills Required: Proficiency in project management methodologies and tools. | Exceptional leadership and interpersonal skills for effective team management. | Outstanding time management and prioritization abilities to meet project milestones. | Adaptability to changing project requirements and priorities | Ability to multi-task and pay close attention to detail. | Excellent analytical, organizational and time management skills | Strong communication skills, both oral and written.EEO Statement: We attract the best people in the industry, supporting their efforts to learn and grow. We strive to create a challenging and progressive work environment. We Provide career opportunities spanning various disciplines and geographic locations, with projects that our employees plan, design, build, and operate as diverse as the needs of our clients.Ful Time Regular VISA Sponsorship: NoWe will not support sponsorship, i.e., H-1B or TN Visas for this position. U.S. Citizenship Required You must be a United States CitizenBackground Check And Drug testing: ProSidian reserves the right to require background checks, including criminal, employment, education, licensure, etc. as well as credit and motor vehicle when applicable for certain positions. In addition, ProSidian may conduct drug testing for designated positions. Other Details Supports predictive systems #TechnicalCrossCuttingJobs #Government And Public Services #Jugaad #Copitas #AskWhy #Zakat #PokaYoke #AskidaEmekAdditional Information As a condition of employment, all employees must meet the requirements of their roles: establish, manage, pursue, and achieve annual goals and objectives with Documented Goals for each of the firm's Eight ProSidian Global Competencies [1 - Personal Effectiveness | 2 - Continuous Learning | 3 - Leadership | 4 - Client Service | 5 - Business Management | 6 - Business Development | 7 - Technical Expertise | 8 - Innovation & Knowledge Sharing (Thought Leadership)]; and support all business development and other efforts on behalf of ProSidian. Eight ProSidian Global CompetenciesPersonal Effectiveness – The ability to manage tasks, time, and relationships efficiently, achieving consistent, impactful results.Continuous Learning – Ongoing pursuit of knowledge, skills, and adaptability to remain relevant, competent, and professionally competitive.Leadership – Inspiring, guiding, and motivating others toward shared goals, fostering accountability, collaboration, and strategic organizational success.Client Service – Delivering responsive, high-quality solutions that address client needs, build trust, and strengthen long-term partnerships.Business Management – Coordinating people, processes, and resources to achieve strategic objectives, operational efficiency, and sustainable organizational performance.Business Development – Identifying, pursuing, and securing growth opportunities through strategic relationships, market insight, and innovative solutions.Technical Expertise – Applying specialized knowledge, analytical skills, and practical experience to solve complex problems with accuracy.Innovation & Knowledge Sharing (Thought Leadership) – Generating creative solutions, sharing insights, and influencing industry direction through expertise, collaboration, and continuous improvement. ------------ --------------- ------------ OTHER REQUIREMENTSBusiness Tools – understanding and proficiency with business tools and technology, including Microsoft Office. The ideal candidate is advanced with Excel, Access, Outlook, PowerPoint, and Word, proficient with Adobe Acrobat, data analytic tools, and Visio, and the ability to quickly learn other tools, as necessary.Commitment - to work with intelligent, interesting people with diverse backgrounds to solve the most significant challenges across private, public, and social sectors.Curiosity – the ideal candidate exhibits an inquisitive nature and the ability to question the status quo among a community of people they enjoy and teams that work well together.Humility – exhibits grace in success and failure while doing meaningful work where skills have an impact and make a difference.Willingness - to constantly learn, share, and grow and to view the world as their classroom. ------------ --------------- ------------ BENEFITS AND HIGHLIGHTS ProSidian Employee Benefits and Highlights - Your health and well-being are crucial to ProSidian. At ProSidian, we invest in our employees to help them maintain their health and achieve work-life balance. We are pleased to offer the Employee Benefits Program, designed to promote your health and personal well-being. Our growing list of benefits currently includes the following for Full-Time Employees:Competitive Compensation: The pay range is competitive and includes group health benefits, pre-tax employee benefits, and performance incentives. The company contributes a fixed dollar amount each month toward the plan chosen for medical and dental benefits, with contributions deducted on a pre-tax basis.Group Medical / Dental / Vision Health Insurance Benefits: ProSidian partners with network providers to offer eligible employees a variety of medical and dental plans, including high-deductible health plans and PPOs. ProSidian also provides plans for both high and low vision..401(k) Retirement Savings Plan: The 401(k) Retirement Savings Plans allow eligible employees to save for retirement. A variety of investment options are available, along with support from a personal financial planner. The plan operates as a pre-tax Safe Harbor 401(k) Retirement Savings Plan that includes a company match.Vacation and Paid Time-Off (PTO) Benefits: Eligible employees can use PTO for vacations, doctor's appointments, or personal events. These benefits include 2 weeks of vacation, 3 sick days, 10 ProSidian holidays, and government holidays..Pre-Tax Payment Programs: Pre-Tax Payment Programs are premium-only plans (POPs) that provide eligible employees with a comprehensive Flexible Spending Account (FSA) Plan and associated tax benefits.Purchasing Discounts & Savings Plans: We aim for your financial success; thus, we offer a Purchasing Discounts and Savings Plan through the Corporate Perks Benefit Program. This program provides special discounts to eligible employees on everyday purchases of products and services.Security Clearance: Due to the nature of our consulting engagements, a security clearance is necessary for engagement teams managing sensitive work in the Federal Marketplace. Security clearance is a valuable asset in your professional portfolio, enhancing your credentials.ProSidian Employee & Contractor Referral Bonus Program: ProSidian can offer up to $5,000 for referrals who stay employed for 90 days, based on candidates submitted through our Referral Program.Performance Incentives: Due to the nature of our consulting work, performance incentives are tied to each new client that employees assist in pursuing and supporting..Flexible Spending Account: FSAs help you cover eligible out-of-pocket healthcare and dependent daycare expenses on a pre-tax basis. You estimate your expected costs for the planned year and choose to set aside a portion of each paycheck into your FSA.Supplemental Life/Accidental Death and Dismemberment Insurance: If you want extra protection for yourself and your eligible dependents, you can choose supplemental life insurance. D&D covers death or dismemberment resulting solely from an accident..Short- and Long-Term Disability Insurance: Disability insurance plans are designed to offer income protection during your recovery from a disability. ----------- ------------ ------------ ADDITIONAL INFORMATION - See Below Instructions On The Best Way To Apply ProSidian is an equal opportunity employer, considering qualified applicants regardless of race, color, creed, religion, national origin, sex, sexual orientation, gender identity, age, disability, veteran status, or other protected characteristics. All information is kept confidential in accordance with EEO guidelines. The company supports the Hiring Our Heroes Program and the "I Hire Military" Initiative. We encourage all applicants, regardless of veteran status, to apply. Our core value is "HONOR ABOVE ALL," emphasizing success through integrity, pride in overcoming challenges, and the pursuit of excellence. For a simple application process, visit our career site at https://ProSidian.com/careers/ or send your resume, salary expectations, and ProSidian job title/code to careers@ProSidian.com. Only candidates who meet the criteria will be considered. For clarity and tracking, please structure your subject line to in

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About ProSidian Consulting

Sourced by ZipRecruiter

ProSidian is a management and operations consulting firm with a reputation for its strong national practice spanning six solution areas including Risk Management, Energy & Sustainability, Compliance, Business Process, IT Effectiveness, and Talent Management. We help clients improve their operations. Linking strategy to execution, ProSidian assists client leaders in maximizing company return on investment capital through design and execution of operations core to delivering value to customers. Visit www.ProSidian.com or follow the company on Twitter at www.twitter.com/ProSidianfor more information.

Industry

Business schools and computer and management training

Company size

11 - 50 Employees

Headquarters location

Charlotte, NC, US

Year founded

2004

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