Job Url: https://www.remoterocketship.com/company/upwork/jobs/lead-software-engineer-ai-data-systems-united-states-remote Job Description: Upwork Website LinkedIn All Job Openings Upwork is a leading online platform that connects freelancers with businesses, offering a wide range of professional services such as design, writing, programming, and more. It facilitates collaboration between independent professionals and clients through job postings, project catalogs, and consultations. Upwork aims to enable freelancers to find work and clients to find the best talent, providing tools to hire, manage, and pay remote talent worldwide. freelancers β€’ agencies 501 - 1000 employees Founded 2015 🀝 B2B πŸͺ Marketplace πŸ’° Funding Round on 2017-01 Lead Software Engineer, AI Data Systems 1 hour ago πŸ‡ΊπŸ‡Έ United States – Remote πŸ’΅ $151.5k - $215.5k / year ⏰ Full Time 🟠 Senior πŸ§‘β€πŸ’» Full-stack Engineer πŸ¦… H1B Visa Sponsor Apache AWS Azure Cloud Google Cloud Platform Pandas Python Spark Apply Now Receive Emails with Similar Jobs Report problem πŸ“‹ Description β€’ Collect high-quality training data and curate datasets for supervised, unsupervised, and reinforcement learning use cases β€’ Build scalable featurization and preprocessing pipelines to transform raw data into structured inputs for AI/ML model development β€’ Partner with ML engineers and researchers to define data requirements and production workflows for LLM-based agents and autonomous AI systems β€’ Lead development of infrastructure enabling experimentation, evaluation, and deployment of machine learning models in production β€’ Support orchestration and real-time inference pipelines using Python and cloud-native tools, ensuring low-latency and high availability β€’ Mentor engineers and foster a high-performance, collaborative engineering culture β€’ Drive cross-functional alignment with product, infrastructure, and research stakeholders on progress, goals, and architecture 🎯 Requirements β€’ Strong software engineering background with deep experience in building data collection, transformation, and featurization pipelines at scale β€’ Proficiency in Python, including async programming and concurrency tools β€’ Experience with data-centric frameworks such as Pandas, Spark, or Apache Beam β€’ Familiarity with ML model development workflows and infrastructure, including dataset versioning, experiment tracking, and model evaluation β€’ Experience deploying and scaling AI systems in cloud environments such as AWS, GCP, or Azure β€’ Proven success operating in highly ambiguous environments such as research labs, startups, or fast-paced product teams β€’ Experience in startups, AI/ML research environments, or similarly dynamic settings is essential β€’ Track record of working with or alongside high-caliber peers in top engineering teams, research groups, or startup ecosystems β€’ Growth mindset, strong communication skills, and a commitment to inclusive collaboration and continuous learning πŸ–οΈ Benefits β€’ Comprehensive medical coverage for you and your family β€’ Unlimited PTO β€’ 401(k) plan with matching β€’ 12 weeks of paid parental leave β€’ Employee Stock Purchase Plan β€’ Eligibility for annual bonus plan or sales incentive plan β€’ Eligibility to participate in long term equity incentive program β€’ Development programs, mentorship, and Upwork Belonging Communities β€’ Remote-first work arrangement (physical office in Palo Alto)