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Deep Learning Freelance Jobs (NOW HIRING)

... freelance work count!) * Bonus: Canva, photography, or video editing skills Most importantly, we're ... Through hands-on programming and deep learning experiences, we empower youth with the creative ...

... and freelance work count!) * Bonus: Canva, photography, or video editing skills Most importantly ... Through hands-on programming and deep learning experiences, we empower youth with the creative ...

Marketing Associate

Bethesda, MD ยท On-site

$45K - $52K/yr

... freelance work count!) * Bonus: Canva, photography, or video editing skills Most importantly, we're ... Through hands-on programming and deep learning experiences, we empower youth with the creative ...

Undaunted by the unknown; ambiguity sparks your curiosity and accelerates your learning * A love of ... Deep affinity for the end user, with empathy that translates into usable, valuable content ...

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Deep Learning Freelance information

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How much do deep learning freelance jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for deep learning freelance in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

What is a Deep Learning Freelancer?

A Deep Learning Freelancer is an independent professional who specializes in developing and implementing deep learning models for various clients or organizations on a project basis. They use neural networks and advanced machine learning techniques to solve problems such as image recognition, natural language processing, and predictive analytics. Deep Learning Freelancers often work remotely and collaborate with clients from diverse industries, offering expertise in model development, data preprocessing, and deployment. Their responsibilities may also include consulting on AI strategies and optimizing existing deep learning solutions.

What are some common challenges faced by deep learning freelancers when managing multiple projects simultaneously?

Deep learning freelancers often juggle several projects at once, each with unique data requirements, timelines, and client expectations. A key challenge is efficiently allocating time and computational resources while ensuring high-quality model development for each client. Effective communication is crucial to manage deliverables and clarify technical constraints, especially when working remotely with teams from different domains. Prioritizing tasks and setting realistic milestones can help freelancers maintain productivity and client satisfaction.

What are the key skills and qualifications needed to thrive as a Deep Learning Freelancer, and why are they important?

To thrive as a Deep Learning Freelancer, you need strong programming skills (especially in Python), a deep understanding of neural network architectures, and a solid background in mathematics and machine learning, usually supported by relevant degrees or certifications. Familiarity with frameworks like TensorFlow, PyTorch, and Keras, along with experience using cloud platforms such as AWS or Google Cloud, is typically expected. Excellent problem-solving, self-management, and client communication skills distinguish top freelancers in this field. These skills are vital for delivering effective AI solutions, meeting client expectations, and staying competitive in a rapidly evolving market.
More about Deep Learning Freelance jobs
What cities are hiring for Deep Learning Freelance jobs? Cities with the most Deep Learning Freelance job openings:
What are the most commonly searched types of Deep Learning jobs? The most popular types of Deep Learning jobs are:
What states have the most Deep Learning Freelance jobs? States with the most job openings for Deep Learning Freelance jobs include:
Infographic showing various Deep Learning Freelance job openings in the United States as of July 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $99,230 per year, or $47.7 per hour.
Director, Machine Learning - Search & Recommendation

Director, Machine Learning - Search & Recommendation

Upwork

Austin, TX โ€ข On-site

Full-time

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.
The annual base salary range for this position is displayed below. The range displayed reflects the minimum and maximum salary for this position, and individual base pay will depend on your skills, qualifications, experience, and location. Additionally, this position is eligible for the annual bonus plan or sales incentive plan and eligibility to participate in our long term equity incentive program.
Annual Base Compensation
$211,250-$340,000 USD
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