Machine Learning Engineer

We are hiring a Machine Learning Engineer who can balance speed and stability while shipping software used by millions. Set against the usual technology listings, this remote role at McKinsey & Company stands out for one reason — it pays $110,000 - $147,000 and trusts you.

• Coordinate releases with stakeholders across Concord, CA and remote teams
• Stand up observability so McKinsey & Company sees failures before customers in CA do
• Monitor system health and set up alerting for deeply technical production environments
• Carry a sharp-but-gentle Lang Chain feature through code freeze without breaking McKinsey & Company stability
• Ship incremental improvements to McKinsey & Company's Concord platform on a regular cadence
• Integrate third-party services and internal tools into the McKinsey & Company stack
• Set the Customer Service coding standards the rest of McKinsey & Company engineering follows

• 3+ years that left you with strong instincts and few ilusions
• Demonstrated comfort presenting to mid-level leadership
• Comfort steering technology conversations toward a decision
• A Concord grounding, or the adaptability to plant roots quickly
• A portfolio or work samples that demonstrate your technology expertise

Anchored in Concord, CA, McKinsey & Company designs the kind of quietly-ambitious systems that technology teams quietly depend on every single day. We give people autonomy early and trust them to ask for support when they need it.

Combine $110,000 - $147,000 with growth, generous benefits, and a mentor, and you have the reason people stay at McKinsey & Company for years.

New applicants this week join a hiring cycle that is already in motion.