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34 Open positions

$ 200,000.00 - 350,000.00

Description:

Role: Head of AI / Principal AI Architect / ML Engineer / Data Scientist San Francisco (Hybrid) Position Type: Full-Time (Permanent or Contract) Urgency: URGENT Start Date: ASAP Team Size: High-agency founding team working at the cutting edge of agentic and multi-modal AI Compensation & Terms Base Salary: $200,000 $350,000 (dependent on experience and level) Equity: ~2% (flexible based on final role and comp level) Visa Support: Not available Sign-On …

Chicago, Illinois, United States

$ None - 42.28

Description:

Position Title: Coding Quality Review (CQR) Specialist Location: Remote (U.S.-based only; Excludes CA, AK, NY, CO) Position Type: Full-Time | Work From Home Start Timeline: ASAP Compensation Hourly Rate: Midpoint of $42.28/hr (based on experience) Employment Type: W2 FTEs on Team: 4 About the Employer A national leader in revenue cycle services, this organization supports over 650 hospitals and 2,400 physician practices. Their Coding Quality Review team ensures compliant, accurate …

San Francisco, California, United States

$ 170,000.00 - 260,000.00

Description:

Position Title: Senior DevOps Engineer Location: Onsite San Francisco, CA (5 days/week) Position Type: Full-Time Start Timeline: ASAP Work Policy: Onsite only Relocation Support: Available Sponsorship: Yes (Visa and Green Card supported) Compensation: $170,000 $260,000 base + competitive equity Role Summary Seeking a Senior DevOps Engineer to lead infrastructure development across deployment, observability, and CI/CD systems. This is a high-impact role responsible for scaling technical operations from the ground up …

San Francisco, California, United States

$ 200,000.00 - 250,000.00

Description:

Founding Applied ML Engineer Audio & Speech Location: San Francisco (strongly preferred) or New York City Position Type: Full-Time (Permanent) Start Timeline: ASAP Hiring Target: 2 About A fast-scaling early-stage startup is building the worlds most advanced audio dataset infrastructure global, studio-grade, and optimized for ML training. The team is leveraging audio to bridge digital and real-world AI applications, with early traction from major tech labs and customers. Why join …