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Entry Level Full Stack Machine Learning Engineer Jobs

TS/SCI w/ Full-Scope Poly Salary: Competitive We are seeking a highly skilled and motivated Machine Learning Engineer to join our dynamic team. The ideal candidate will have a strong background in ...

Machine Learning Engineer Location: Long Island City, NY 11101 (Onsite 4 Days/week) Type: Permanent ... Collaborate closely with product managers, full-stack engineers, and TPMs to ensure seamless ...

Machine Learning Engineer

New York, NY · Hybrid

$90.90K - $254.10K/yr

Collaborate closely with product managers, full-stack engineers, and TPMs to ensure seamless ... Expertise in machine learning techniques, including but not limited to regression, classification ...

AI & Machine Learning Engineer

Dallas, TX

$113.70K - $136.60K/yr

... as entry-level software programmer , Java full stack developer , Python/Java developer , data ... and machine learning/AI engineer . In other words, SynergisticIT focuses on building candidates ...

AI & Machine Learning Engineer

Denver, CO

$117.90K - $141.50K/yr

... as entry-level software programmer , Java full stack developer , Python/Java developer , data ... and machine learning/AI engineer . In other words, SynergisticIT focuses on building candidates ...

AI & Machine Learning Engineer

San Diego, CA

$121.60K - $146K/yr

... as entry-level software programmer , Java full stack developer , Python/Java developer , data ... and machine learning/AI engineer . In other words, SynergisticIT focuses on building candidates ...

AI & Machine Learning Engineer

Denver, CO

$117.90K - $141.50K/yr

... as entry-level software programmer , Java full stack developer , Python/Java developer , data ... and machine learning/AI engineer . In other words, SynergisticIT focuses on building candidates ...

AI & Machine Learning Engineer

San Diego, CA

$121.60K - $146K/yr

... as entry-level software programmer , Java full stack developer , Python/Java developer , data ... and machine learning/AI engineer . In other words, SynergisticIT focuses on building candidates ...

AI & Machine Learning Engineer

Chicago, IL

$118K - $141.80K/yr

... as entry-level software programmer , Java full stack developer , Python/Java developer , data ... and machine learning/AI engineer . In other words, SynergisticIT focuses on building candidates ...

AI & Machine Learning Engineer

Dallas, TX

$113.70K - $136.60K/yr

... as entry-level software programmer , Java full stack developer , Python/Java developer , data ... and machine learning/AI engineer . In other words, SynergisticIT focuses on building candidates ...

AI & Machine Learning Engineer

Chicago, IL

$118K - $141.80K/yr

... as entry-level software programmer , Java full stack developer , Python/Java developer , data ... and machine learning/AI engineer . In other words, SynergisticIT focuses on building candidates ...

MACHINE LEARNING ENGINEER (MLOPS / DATA ENGINEERING) Overview Darwill is a nationally recognized ... This is not an entry-level position, and it is not a principal or architect-level role.. Location ...

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Entry Level Full Stack Machine Learning Engineer information

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$44.5K

$134.8K

$190.5K

How much do entry level full stack machine learning engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for entry level full stack machine learning engineer in the United States is $134,771.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $158,000.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Full Stack Machine Learning Engineer vs Entry Level Data Scientist?

AspectEntry Level Full Stack Machine Learning EngineerEntry Level Data Scientist
Required CredentialsBachelor's in CS, Data Science, or related; knowledge of ML frameworksBachelor's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops ML models, builds backend and frontend applicationsAnalyzes data, creates visualizations, interprets data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, tech industries

While both roles require a foundation in data and programming, the Entry Level Full Stack Machine Learning Engineer focuses on developing end-to-end ML solutions, including deployment and integration, whereas the Entry Level Data Scientist primarily analyzes data and creates insights without necessarily building full applications.

More about Entry Level Full Stack Machine Learning Engineer jobs
What are the most commonly searched types of Full Stack Machine Learning Engineer jobs? The most popular types of Full Stack Machine Learning Engineer jobs are:
Infographic showing various Entry Level Full Stack Machine Learning Engineer job openings in the United States as of May 2026, with employment types broken down into 95% Full Time, 1% Part Time, 1% Temporary, and 3% Contract. Highlights an 99% Physical, and 1% Hybrid job distribution, with an average salary of $134,771 per year, or $64.8 per hour.
Fullstack Machine Learning Engineer, Infrastructure

Fullstack Machine Learning Engineer, Infrastructure

Tesla

Palo Alto, CA • On-site

Full-time

Posted 22 days ago


Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

1st of 44 rated automakers


Job description

Job Summary:
Tesla is driving forward the next generation of robots, electric vehicles, and energy products. They are seeking a skilled Full-Stack Machine Learning Engineer to develop in-house tools that automate complex processes and empower engineers to design faster and operate more efficiently, directly impacting Tesla's mission of sustainable energy.
Responsibilities:
• Design, develop, test, deploy, scale, and maintain user-friendly web applications and tools that automate existing design workflows and visualize machine learning experiments and models
• Combine multiple data-sources and leverage millions of data points to build robust and scalable end-to-end learning-based systems. This includes training and evaluation code in Python to back-end and front-end work in JavaScript
• Collaborate with cross-functional teams to integrate software systems into Tesla's ecosystem, ensuring seamless deployment and operation
• Build dashboards that provide real-time insights into performance, progress, and key metrics for engineers and leadership
• Proactively identify and resolve performance bottlenecks related to infrastructure, memory, and runtime efficiency
• Present progress at project milestones to stakeholders and cross-functional teams
Qualifications:
Required:
• Degree in Computer Science or equivalent experience
• Proficiency in writing production quality code in Python, and experience with any major machine learning framework
• Experience in optimization techniques and time-series forecasting
• Strong knowledge of the React ecosystem, including familiarity with major solutions for State Management (Redux Toolkit, Zustand, MobX), Styling (Tailwind CSS, Styled Components, MUI), and Testing (Jest, Vitest, Playwright)
• Solid understanding of web development best practices, security principles, design patterns, scalability principles, and component‑reuse strategies
• Experience deploying services on Kubernetes or other big data technologies and setting up CI/CD pipelines
• Experience implementing identity management protocols such as OAuth2, OIDC, and JWT, with attention to preventing vulnerabilities (OWASP Top 10, XSS, CSRF)
• Excellent interpersonal, communication, and collaboration skills
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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