Senior Lead Machine Learning Engineer

October 9

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

💵 $195k - $296k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

Apply Now

Receive Emails with Similar Jobs

Upwork

WebsiteLinkedInAll Job Openings

B2B • Marketplace

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.

501 - 1000 employees

Founded 2015

🤝 B2B

🏪 Marketplace

💰 Funding Round on 2017-01

📋 Description

• Design and implement resilient infrastructure for agentic LLM systems, including multi-agent coordination, Retrieval-Augmented Generation (RAG), and real-time orchestration. • Lead training and fine-tuning of large-scale foundation models tailored to Upwork’s domain-specific challenges and user base. • Partner with engineering, product, and research teams to align technical development with strategic business priorities. • Mentor and support other engineers and researchers to elevate team-wide technical capabilities and foster a culture of innovation and inclusion. • Drive experimentation and translate findings into robust, scalable production systems with clear metrics of success. • Identify opportunities for innovation, challenge conventional approaches, and lead initiatives that push the boundaries of applied ML. • Contribute to the external AI/ML community through papers, talks, or open-source contributions, enhancing Upwork’s visibility in the field.

🎯 Requirements

• Demonstrated expertise in building, deploying, and scaling advanced ML models in a production environment using Python and frameworks like PyTorch or TensorFlow. • Deep technical understanding of transformer-based models, generative AI, and agent architectures such as MCP or A2A. • Proven experience training and optimizing large models on GPU clusters and integrating LLMs with APIs or orchestration systems. • Track record of leading high-impact, cross-functional initiatives with a focus on business outcomes and customer value. • A collaborative mindset, clear communication skills, and a drive to mentor and elevate those around you.

🏖️ Benefits

• comprehensive medical coverage for you and your family • unlimited PTO • 401(k) plan with matching • 12 weeks of paid parental leave • Employee Stock Purchase Plan