Upwork

Lead Software Engineer - AI Data Systems

Remote

Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Information Technology & ServicesIndustries

Lead Software Engineer (AI Data Systems)

Company: Upwork ($UPWK)

Employment Type: [Not Specified] Location Type: [Not Specified] Salary: [Not Specified]

Position Overview

Upwork is the world’s largest work marketplace, connecting businesses with highly skilled professionals worldwide. From entrepreneurs to Fortune 100 enterprises, companies trust Upwork’s platform to access expert talent, leverage AI-powered work solutions, and drive meaningful business outcomes. Upwork's AI-powered platform has facilitated over $20 billion in economic opportunity for professionals worldwide. With professionals spanning 10,000+ skills, including AI and machine learning, software development, sales and marketing, customer support, finance and accounting, and more, Upwork empowers businesses of all sizes to scale, innovate, and build agile teams.

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.

Requirements

  • 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.

Company Information

Upwork is the world’s largest work marketplace, connecting businesses with highly skilled professionals worldwide. From entrepreneurs to Fortune 100 enterprises, companies trust Upwork’s platform to access expert talent, leverage AI-powered work solutions, and drive meaningful business outcomes. Upwork's AI-powered platform has facilitated over $20 billion in economic opportunity for professionals worldwide.

Come change how the world works. At Upwork, you’ll shape the future of work for a global, remote-first work.

Skills

AI
machine learning
software development
Python
scalable pipelines
data systems
model training
inference
AI infrastructure
system design
scalability
performance optimization

Upwork

Online platform connecting freelancers and clients

About Upwork

Upwork connects freelancers with clients looking for various services in the gig economy, which focuses on short-term contracts instead of permanent jobs. The platform allows freelancers to create profiles that showcase their skills, while clients can post job listings for specific projects. Freelancers bid on these projects, and clients choose the best candidates based on proposals and reviews. Upwork earns revenue through service fees charged to freelancers based on their earnings, with a tiered structure that rewards long-term client relationships. The platform also offers premium memberships and additional services for enhanced visibility and access to job listings. Upwork provides tools for time tracking, invoicing, and project management, making it easier for both freelancers and clients to manage their work and payments. The goal of Upwork is to facilitate successful project completion by bridging the gap between freelancers and clients.

San Francisco, CaliforniaHeadquarters
2015Year Founded
$143.8MTotal Funding
IPOCompany Stage
Consulting, Enterprise SoftwareIndustries
10,001+Employees

Benefits

Health Insurance
Unlimited Paid Time Off
401(k) Retirement Plan
401(k) Company Match
Parental Leave
Employee Stock Purchase Plan

Risks

Increased competition from Fiverr and Toptal threatens Upwork's market share.
The new Fiverr-style Project Catalog may commoditize services, reducing freelancers' perceived value.
Strategic shifts under new management may not align with current client expectations.

Differentiation

Upwork connects freelancers with clients across diverse industries, enhancing global work opportunities.
The platform offers tools like time tracking and invoicing for efficient project management.
Upwork's tiered fee structure incentivizes long-term client relationships, differentiating it from competitors.

Upsides

Upwork's acquisition of Objective AI enhances its AI capabilities for better talent matching.
The introduction of Featured Jobs increases visibility for job posts, attracting more candidates.
Upwork's recognition as the top job posting site boosts its credibility among employers.

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