Upwork ($UPWK) is the world’s human and AI-powered work marketplace that connects businesses with highly skilled, AI-enabled independent talent from across the globe. From entrepreneurs to Fortune 100 enterprises, companies rely on Upwork’s trusted platform and its mindful AI companion, Uma, to find and hire expert talent, leverage AI-powered work solutions, and drive business transformation. With on-demand access to professionals spanning more than 10,000 skills across AI & machine learning, software development, sales & marketing, customer support, finance & accounting, and more, Upwork enables businesses of all sizes to scale, innovate, and build agile teams for the age of AI and beyond.
Upwork’s platform has facilitated more than $25 billion in economic opportunity for talent around the world. Learn more at Upwork.com and follow us on LinkedIn, Facebook, Instagram, TikTok, and X.
We’re looking for a Lead Software Engineer (AI Data Systems) to join our growing AI team and help build the critical infrastructure that powers the future of intelligent, agent-driven systems at Upwork. You’ll be responsible for collecting high-quality training data, building scalable featurization pipelines, and delivering performant systems to support model training and inference at scale.
This role is built for Explorers, engineers who thrive in ambiguity, move fast with instinct, and are energized by greenfield challenges. Instead of narrowly scoped specialists, we’re hiring T-shaped engineers: individuals with a breadth of skills across the stack and deep expertise in at least one technical area. You’ll be one of our foundational hires, pushing past the known, building fast in Python, and helping us shape our technology and our team. Experience in startups, AI/ML research environments, or similarly dynamic settings is essential, as we’re solving problems that demand speed, curiosity, and adaptability.
If you’re passionate about AI infrastructure, thrive in early-stage environments, and want to help us set the standard for how agentic systems are built and deployed at scale, this is your opportunity.
Responsibilities
- Design and implement systems to collect and curate high-quality training datasets for supervised, unsupervised, and reinforcement learning use cases.
- Build scalable featurization and preprocessing pipelines to transform raw data into structured inputs for AI/ML model development.
- Partner with ML engineers and researchers to define data requirements and production workflows that support LLM-based agents and autonomous AI systems.
- Lead the development of infrastructure that enables experimentation, evaluation, and deployment of machine learning models in production environments.
- Support orchestration and real-time inference pipelines using Python and modern cloud-native tools, ensuring low-latency and high availability.
- Mentor engineers and foster a high-performance, collaborative engineering culture grounded in technical excellence and curiosity.
- Drive cross-functional alignment with product, infrastructure, and research stakeholders, ensuring clarity on progress, goals, and architecture.
What it takes to catch our eye
- Strong software engineering background with deep experience in building data collection, transformation, and featurization pipelines at scale.
- Proficiency in Python, including async programming and concurrency tools, as well as data-centric frameworks such as Pandas, Spark, or Apache Beam.
- Familiarity with ML model development workflows and infrastructure, including dataset versioning, experiment tracking, and model evaluation.
- Experience deploying and scaling AI systems in cloud environments such as AWS, GCP, or Azure.
- Proven success operating in highly ambiguous environments such as research labs, startups, or fast-paced product teams.
- A track record of working with or alongside high-caliber peers in top engineering teams, research groups, or startup ecosystems.
- Growth mindset, strong communication skills, and a commitment to inclusive collaboration and continuous learning.
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 21 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.
