Machine Learning Engineer

As a Machine Learning Engineer you will take the lead on building and improving our data-driven products, and seeing them through from research to production. You have deep experience with the tools of data science, from algorithms and embeddings to language models and prompt engineering. You know how to rapidly prototype but also how to scale for production, leveraging previous distributed systems experience. You’ll be constantly learning and mentoring, expanding Primer's skills across the stack and bringing in new technologies and methods to the team. 

Just as important as your technical skills are your strong product sense and empathy for customers.  You will partner with cross-functional teams of product managers, engineers, and other technical leaders to solve the ultimate challenge: Empowering humans with artificial intelligence tools.

Roles and Responsibilities - How You Will Make an Impact

• Understand the landscape of NLP problems and help us make the strategic investments that ensure Primer’s capability and leadership in the space
• Design & develop distributed architectures, libraries and systems with company-wide impact.
• Work on massive datasets, integrating with features such as event and topic detection, relation extraction, summarization, entity recognition, document classification, multilingual NLP and knowledge base generation
• Collaborate and influence cross-functional teams to drive our technology vision and roadmap.
• Triage issues and debug/resolve by identifying sources of issues and impact on operations and quality
• Improve and promote engineering best practices and design patterns across the company and motivate other engineers to follow your high standard

Relevant Skills and Experience

• BS, MS or PhD degree in computer science, related field or equivalent practical experience.
• 5+ years as a backend software engineer, integrating and deploying ML driven functionality.
• Mastery of data structures and algorithms and an ability to use them practically when implementing solutions.
• Experience with machine learning algorithms and tools (e.g. Numpy, PyTorch, TensorFlow); bonus for experience with LLMs and natural language processing
• Experience authoring APIs in Python or Golang
• Curiosity, enthusiasm, and a love for teaching and learning

This role will consider applicants out of San Francisco, CA or Washington, DC

The annual cash compensation range for this position is US$225,000 to US$250,000.  Final compensation will be determined based on experience and skills and may vary from the range listed above.