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Freelance Mechanical Engineering Machine Learning Jobs

Apple

Sr. Machine Learning Engineer, Siri Global

Cupertino, CA · On-site

$151K - $199K/yr

We build machine learning models, systems, and software that understands the intents hundreds of ... Software engineering experience with both server-based and client-side (e.g. on-device) models is a ...

Beyond SOF

Engineer, Machine Learning

Washington, DC · On-site

Collaborate with the engineering team to integrate machine learning solutions into projects. Stay updated on the latest machine learning technologies and trends. Develop and implement quantum machine ...

Apple

Machine Learning Engineer- GenAI

Cupertino, CA · On-site

Masters in Artificial intelligence, Machine Learning, Computer Science, Statistics, Operations Research, Physics, Mechanical Engineering, Electrical Engineering or related field. Preferred ...

Atomic Machines

Mechanical Engineer

Santa Clara, CA

The Mechanical Engineering team is at the forefront of designing and developing state-of-the-art ... Drive your work through rapid learning loops leveraging our in-house Lab, Fab, and Machine Shop.

1 point system

AI Engineer - Machine Learning 3

Redmond, WA · Remote

$117K - $140K/yr

... engineering or related field required Summary: • As a Machine Learning Data Scientist, you will collaborate closely with researchers, engineers, designers, and product partners to evaluate emerging ...

Vangard, Inc.

Senior Machine Learning Engineer

Malvern, PA · On-site

$102K - $140K/yr

Develop and maintain feature engineering, feature storage, and data preparation pipelines ... Experience in software engineering, machine learning engineering, data engineering, or a related ...

Vanguard Group

Senior Machine Learning Engineer

Malvern, PA · On-site

$102K - $140K/yr

Develop and maintain feature engineering, feature storage, and data preparation pipelines ... Experience in software engineering, machine learning engineering, data engineering, or a related ...

Atomic Machines

Mechanical Engineer

Emeryville, CA

The Mechanical Engineering team is at the forefront of designing and developing state-of-the-art ... Drive your work through rapid learning loops leveraging our in-house Lab, Fab, and Machine Shop.

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Freelance Mechanical Engineering Machine Learning information

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$33

$54

How much do freelance mechanical engineering machine learning jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for freelance mechanical engineering machine learning in the United States is $33.20, according to ZipRecruiter salary data. Most workers in this role earn between $26.92 and $37.50 per hour, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Highly experienced freelance mechanical engineers working on specialized projects, such as advanced product design or consulting for large corporations, can earn $500,000 or more annually. Achieving this level typically requires extensive expertise, a strong portfolio, and often involvement in high-value contracts or niche markets.

Can you make $200,000 a year as a mechanical engineer?

Earning $200,000 annually as a mechanical engineer is possible but typically requires extensive experience, advanced skills, and working in high-paying industries such as aerospace or energy. Senior roles, specialized expertise, or managerial positions tend to offer higher salaries, especially in regions with a high cost of living or in companies valuing advanced technical knowledge and certifications. Entry-level or mid-career mechanical engineers usually earn less than this amount.

What is the difference between Freelance Mechanical Engineering Machine Learning vs Freelance Data Scientist?

AspectFreelance Mechanical Engineering Machine LearningFreelance Data Scientist
CredentialsEngineering degrees, certifications in machine learningStatistics, data analysis, programming certifications
Work EnvironmentEngineering firms, manufacturing, product designTech companies, consulting, research labs
Industry UsageProduct development, automation, roboticsData analysis, predictive modeling, business insights

Freelance Mechanical Engineering Machine Learning professionals focus on applying machine learning techniques to mechanical engineering problems, often within manufacturing or product design. In contrast, Freelance Data Scientists analyze data across various industries to generate insights and predictive models. While both roles require machine learning skills, their industry applications and work environments differ significantly.

Can I do freelancing with machine learning?

Freelance mechanical engineering professionals can incorporate machine learning skills to offer specialized services such as predictive maintenance, data analysis, and automation solutions. Success in freelancing with machine learning requires proficiency in programming languages like Python, knowledge of machine learning frameworks, and a strong understanding of engineering principles. Building a portfolio and obtaining relevant certifications can help attract clients in this field.

Can mechanical engineers work in machine learning?

Mechanical engineers can work in machine learning by applying their knowledge of systems, modeling, and data analysis to develop algorithms for automation, robotics, and predictive maintenance. Gaining skills in programming languages like Python, and understanding machine learning frameworks, can enhance their ability to transition into this field.
More about Freelance Mechanical Engineering Machine Learning jobs
What cities are hiring for Freelance Mechanical Engineering Machine Learning jobs? Cities with the most Freelance Mechanical Engineering Machine Learning job openings:
What are the most commonly searched types of Mechanical Engineering Machine Learning jobs? The most popular types of Mechanical Engineering Machine Learning jobs are:
What states have the most Freelance Mechanical Engineering Machine Learning jobs? States with the most job openings for Freelance Mechanical Engineering Machine Learning jobs include:
What job categories do people searching Freelance Mechanical Engineering Machine Learning jobs look for? The top searched job categories for Freelance Mechanical Engineering Machine Learning jobs are:
Freelance Mechanical Engineering Machine Learning jobs near you
Infographic showing various Freelance Mechanical Engineering Machine Learning job openings in the United States as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $69,055 per year, or $33.2 per hour.
Director, Machine Learning - Search & Recommendation

Director, Machine Learning - Search & Recommendation

Upwork

Austin, TX • Remote

Other

Medical, Retirement, PTO

Posted 3 days ago

Job description

Upwork Inc.'s (Nasdaq: UPWK) family of companies connects businesses with global, AI-enabled talent across every contingent work type including freelance, fractional, and payrolled. This portfolio includes the Upwork Marketplace, which connects businesses with on-demand access to highly skilled talent across the globe, and Lifted, which provides a purpose-built solution for enterprise organizations to source, contract, manage, and pay talent across the full spectrum of contingent work. From Fortune 100 enterprises to entrepreneurs, businesses rely on Upwork Inc. to find and hire expert talent, leverage AI-powered work solutions, and drive business transformation. With access to professionals spanning more than 10,000 skills across AI & machine learning, software development, sales & marketing, customer support, finance & accounting, and more, the Upwork family of companies enables businesses of all sizes to scale, innovate, and transform their workforces for the age of AI and beyond.

Since its founding, Upwork Inc. has facilitated more than $30 billion in total transactions and services as it fulfills its purpose to create opportunity in every era of work. Learn more about the Upwork Marketplace at Upwork.com and follow us on LinkedIn, Facebook, Instagram, TikTok, and X; and learn more about Lifted at Go-Lifted and follow on LinkedIn.

Search & Recommendations sits at the center of how work happens on Upwork. In this role, you will lead the engineering organization responsible for building the systems that connect millions of clients and freelancers across the globe. You will shape the future of Upwork's matching platform by setting technical direction, scaling core systems, and delivering experiences that power everything from search and browse to conversational matching, agentic workflows, and emerging AI-native surfaces. This is a high-impact leadership opportunity to guide a strong engineering team while partnering closely with product, machine learning, and executive leadership on a platform central to Upwork's long-term growth.

Responsibilities
  • Define and drive the technical strategy for Upwork's Search & Recommendations platform, aligning engineering investments with long-term business goals, marketplace performance, and platform scalability.
  • Lead, grow, and develop a high-performing organization of software and machine learning engineers, fostering a culture of ownership, inclusion, high standards, and continuous learning.
  • Deliver a unified Search & Recommendations platform that powers matching experiences across client and talent journeys, including search, recommendations, conversational experiences, and agentic workflows.
  • Modernize search infrastructure by guiding the migration from legacy systems to scalable, maintainable, and high-performance architectures with clear APIs, observable pipelines, and strong experimentation support.
  • Partner closely with product, ML, data science, design, and senior leadership to prioritize roadmaps, navigate tradeoffs, and translate complex platform decisions into measurable business outcomes.
  • Champion engineering excellence through strong practices in system reliability, latency, data integrity, responsible AI development, and operational health across critical marketplace systems.
  • Establish clear operating mechanisms, metrics, and team rhythms that improve execution, support long-range planning, and track platform health, engineering effectiveness, and business impact.
What It Takes to Catch Our Eye
  • Significant experience leading engineering teams in high-scale environments, with a strong track record of delivering search, recommendations, ranking, or retrieval systems that drive meaningful business results.
  • Deep technical fluency in distributed systems, data pipelines, search architecture, and modern machine learning infrastructure, with the ability to guide architecture decisions and mentor senior engineers and managers.
  • Proven success leading integrated teams of software engineers and machine learning engineers while building strong partnerships across product, data science, and executive stakeholders.
  • Ability to operate effectively at multiple altitudes, translating technical depth into strategic clarity and making sound decisions in ambiguous, fast-moving environments.
  • Strong applied understanding of AI-native engineering workflows, including using AI to accelerate design, experimentation, and delivery while ensuring technical accuracy, responsible use, and scalable team adoption.

Come change how the world works.

At Upwork, you'll shape the future of work for a global, remote-first workforce, creating economic opportunities for professionals worldwide. While we have a physical office in Palo Alto, we currently hire full-time employees in 34 U.S. states, making it easier than ever to join our mission from wherever you call home.

Our culture is built on trust, risk-taking, customer focus, and excellence, all in service of our core mission: to create economic opportunities so people have better lives. We embrace authenticity and inclusion, encouraging everyone to bring their whole selves to work. Personal and professional growth is a priority here, supported through development programs, mentorship, and our Upwork Belonging Communities.

We're proud to offer benefits that go beyond the basics, including comprehensive medical coverage for you and your family, unlimited PTO, a 401(k) plan with matching, 12 weeks of paid parental leave, and an Employee Stock Purchase Plan. Visit our Life at Upwork page to learn more about our values, working principles, and the overall employee experience.

Ready to help shape the future of work? Check out our Careers page and follow us on LinkedIn, Facebook, Instagram, TikTok, and X to learn more about life at Upwork.

Upwork is an Equal Opportunity Employer committed to recruiting and retaining a diverse and inclusive workforce. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, or other legally protected characteristics under federal, state, or local law.

Please note that a criminal background check may be required once a conditional job offer is made. Qualified applicants with arrest or conviction records will be considered in accordance with applicable law, including the California Fair Chance Act and local Fair Chance ordinances. The Company is committed to conducting an individualized assessment and giving all individuals a fair opportunity to provide relevant information or context before making any final employment decision.

We use BrightHire, an AI-enabled tool, to record interviews and summarize interview transcripts. The tool allows the interviewer to focus on the discussion and does not score or evaluate candidates or make recommendations. The interview transcripts are reviewed, and decisions are only made by humans. Candidates who prefer not to have their interview recorded through BrightHire can opt out when the interview is scheduled.

To learn more about how Upwork processes and protects your personal information as part of the application process, please review our Global Job Applicant Privacy Notice.

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