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:
Requirements
The ideal candidate combines deep ML expertise, backend engineering experience, and leadership skills:
Benefits
This role offers competitive compensation and a supportive work environment:
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!
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Typ:
VollzeitArbeitsmodell:
RemoteKategorie:
Development & ITErfahrung:
SeniorArbeitsverhältnis:
AngestelltVeröffentlichungsdatum:
19 Aug 2025Standort:
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