Staff+ Site Reliability Engineer, Safeguards ML Infra
Looking for a machine learning engineer job in New York? Choose from 51 open roles at 19 employers. Explore real salary data and skills breakdown across remote, hybrid and on-site roles.
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The roles on this page centre on designing, building, and shipping machine learning models into production environments. Most involve constructing and maintaining data pipelines, optimising models for scale, and collaborating with product and data-science teams inside Agile structures. Several postings emphasise infrastructure work — deployment pipelines, on-call operations, and change management — rather than research alone. Anthropic's Staff+ role is particularly infrastructure-focused, requiring ownership of safety-classifier deployment across multiple cloud platforms. Capital One's postings — such as the Lead ML Engineer (Python, AWS, SQL, GenAI) and the IFX Lead — focus on enterprise AI tools, production performance, and architectural decision-making. The Senior Lead role adds explicit team leadership alongside model development. Across the sample, seniority requirements are notably high, with most titles carrying lead or staff designations and experience thresholds of six to eight years being common.
Python is the most widely mentioned skill across the full set of postings, followed by model evaluation, PyTorch, and AWS. Cloud coverage splits across AWS, GCP, and Azure, so familiarity with more than one provider appears useful. LLMs and agent-based patterns appear in roughly a third of postings. These counts reflect mentions in job descriptions across all postings — they indicate frequency, not that every role requires every skill.
Most postings in this set specify on-site work in New York. A smaller portion — roughly equal in count — are listed as hybrid or fully remote. No postings have an unknown work mode, so the split is clear for each listing individually. That said, some remote-listed roles may still expect occasional travel or be tied to specific time zones; the individual postings should be checked for any such conditions. Candidates who need full flexibility should filter specifically for the remote listings rather than assuming hybrid arrangements offer equivalent flexibility.
Jobs checked 11 hours ago. · Guide reviewed 9 September 2026.
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