Jobgether
Staff Machine Learning Engineer (Remote - US)
Jobgether Location Not Available
Stellenbeschreibung:

    This position is posted by Jobgether on behalf of primer.ai. We are currently looking for a Staff Machine Learning Engineer in United States.

    As a Staff Machine Learning Engineer, you will take ownership of building and scaling advanced AI-driven products from research to production. You will design distributed architectures, work with massive datasets, and leverage state-of-the-art machine learning models, including NLP and LLM-based systems. Partnering closely with cross-functional teams, you will mentor engineers, contribute to the technology roadmap, and drive best practices across the organization. Your work will directly influence the development of tools that empower humans with artificial intelligence in high-stakes environments. This role combines technical depth, leadership, and a strong customer-focused mindset to deliver scalable, impactful solutions.

    Accountabilities:

    The role blends hands-on engineering, strategic influence, and mentorship:

    • Design, develop, and deploy distributed machine learning systems and libraries with company-wide impact.
    • Build, integrate, and maintain pipelines for processing large-scale datasets, including NLP tasks such as summarization, relation extraction, entity recognition, and classification.
    • Partner with product managers and engineers to shape AI product direction and technical strategy.
    • Troubleshoot and resolve complex issues, ensuring high-quality, reliable systems.
    • Mentor and coach engineers, promoting best practices, robust design patterns, and a culture of technical excellence.
    • Continuously evaluate and adopt new technologies and methods to enhance AI capabilities and team skill sets.

    Requirements

    The ideal candidate combines deep ML expertise, backend engineering experience, and leadership skills:

    • BS, MS, or PhD in Computer Science or a related field, or equivalent practical experience.
    • 10+ years as a backend software engineer integrating and deploying ML-driven functionality.
    • Mastery of data structures and algorithms with practical application in scalable systems.
    • Experience with machine learning frameworks and tools (e.g., NumPy, PyTorch, TensorFlow); experience with LLMs and NLP is a strong plus.
    • Proficiency in authoring APIs in Python or Golang.
    • Proven ability to mentor and guide engineers across technical and product domains.
    • Strong curiosity, enthusiasm, and commitment to continuous learning and teaching.
    • Eligible to work from San Francisco, CA, Pasadena, CA, or Washington, DC.

    Benefits

    This role offers competitive compensation and a supportive work environment:

    • Annual cash compensation: $180,000 – $240,000 (based on experience and skills).
    • Full medical, dental, and vision coverage.
    • Fertility benefits and family support programs.
    • Mental health support via Headspace Care+ and wellness initiatives.
    • Gym and wellness memberships.
    • Remote work stipends and monthly internet allowance.
    • 401(k) plan.
    • Flexible vacation and wellness days, with fully paid parental leave.
    • Opportunities for professional growth, learning, and mentoring.

    Jobgether is a Talent Matching Platform that partners with companies worldwide to connect top talent with the right opportunities through AI-driven matching.

    When you apply, your profile goes through an AI-powered screening process designed to identify top talent efficiently and fairly.
    🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
    📊 It compares your profile to the role’s core requirements and past success factors to determine a match score.
    🎯 The 3 candidates with the highest match are automatically shortlisted.
    🧠 When necessary, our human team may perform an additional review to ensure no strong profile is missed.

    The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once shortlisting is completed, we share it with the hiring company, who will decide on next steps such as interviews or assessments.

    Thank you for your interest!

     

    #LI-CL1

Stelleninformationen
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Remote
  • Kategorie:

    Development & IT
  • Erfahrung:

    Senior
  • Arbeitsverhältnis:

    Angestellt
  • Veröffentlichungsdatum:

    19 Aug 2025
  • Standort:

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