Remote Staff Machine Learning Engineer (Remote - US)

Description:

• The position is for a Staff Machine Learning Engineer based in the United States, posted by Jobgether on behalf of primer.ai.
• The role involves taking ownership of building and scaling advanced AI-driven products from research to production.
• Responsibilities include designing distributed architectures, working with massive datasets, and leveraging state-of-the-art machine learning models, including NLP and LLM-based systems.
• The engineer will partner closely with cross-functional teams, mentor engineers, contribute to the technology roadmap, and drive best practices across the organization.
• The work will directly influence the development of tools that empower humans with artificial intelligence in high-stakes environments.
• The role combines technical depth, leadership, and a strong customer-focused mindset to deliver scalable, impactful solutions.

Requirements:

• A BS, MS, or PhD in Computer Science or a related field, or equivalent practical experience is required.
• Candidates must have 10+ years of experience as a backend software engineer integrating and deploying ML-driven functionality.
• Mastery of data structures and algorithms with practical application in scalable systems is essential.
• Experience with machine learning frameworks and tools such as NumPy, PyTorch, and TensorFlow is required; experience with LLMs and NLP is a strong plus.
• Proficiency in authoring APIs in Python or Golang is necessary.
• A proven ability to mentor and guide engineers across technical and product domains is required.
• Candidates should demonstrate strong curiosity, enthusiasm, and a commitment to continuous learning and teaching.
• The position is eligible for candidates located in San Francisco, CA, Pasadena, CA, or Washington, DC.

Benefits:

• The role offers competitive annual cash compensation ranging from $180,000 to $240,000, based on experience and skills.
• Full medical, dental, and vision coverage is provided.
• Fertility benefits and family support programs are included.
• Mental health support is available via Headspace Care+ and wellness initiatives.
• Gym and wellness memberships are offered.
• Remote work stipends and a monthly internet allowance are provided.
• A 401(k) plan is available for employees.
• The company offers flexible vacation and wellness days, along with fully paid parental leave.
• Opportunities for professional growth, learning, and mentoring are part of the benefits package.