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thredUP · Remote · Texas, USA
Civo · Remote · Worldwide
Signifyd · Remote · USA
Capital One · Remote · Cambridge +4 more
Phillips 66 · Remote · USA
Twilio · Remote · USA
Affirm · Remote · Poland
Zip Co · Remote · New York, NY, USA
Procore · Remote · Austin, TX, USA
Experian · Remote · São Carlos, State of São Paulo, Brazil
Dave · Remote · USA
Pinterest · Remote · USA
Affirm · Remote · UK
Affirm · Remote · Spain
Loka · Remote · North Macedonia +2 more
Pinterest · Remote · USA
Twilio · Remote · Ontario, Canada
Pinterest · Remote · USA
SavvyMoney · Remote · Warsaw, Poland
EDB · Remote · Europe +2 more
Discord · Remote · USA
Twilio · Remote · Ontario, Canada
Quora · Remote · USA +2 more
Metabase · Remote · Worldwide
Elastic · Remote · USA
Ravelin · Remote · London, UK
Spotify · Remote · USA
Fingerprint · Remote · Worldwide
Airbnb · Remote · San Francisco, CA, USA
Spotify · Remote · New York City, NY, USA
Spotify · Remote · UK or Sweden
Airbnb · Remote · San Francisco, CA, USA
Aledade · Remote · USA
Oak Ridge National Laboratory · Remote · USA
Clover Health · Remote · USA
VRChat · Remote · Worldwide
Customer.io · Remote · North America or South America
Affirm · Remote · Canada
Spotify · Remote · USA
Showing 20 of 700
Employers hiring for Machine Learning on this page include Anthropic, Pinterest, and ServiceNow. Machine Learning roles appear most frequently in engineering, data, and platform teams at companies that offer a 4-day week or another flexible schedule. Each listing indicates the seniority level and whether Machine Learning is a primary requirement or one of several preferred skills — expand any role above to see the full stack and responsibilities.
Machine Learning roles on this page span seniority levels, from entry-level and mid-level through senior, lead, and staff or principal positions. Filter by level in the sidebar to narrow the list above to the ones that fit you.
Lead with measurable outcomes over time spent — Machine Learning hiring managers at companies that run 4-day weeks or flexible schedules care about delivered value, not hours worked. Highlight projects where you shipped at a steady cadence, collaborated asynchronously, or reduced engineering toil through automation or tooling. Include concrete metrics (latency improvements, adoption numbers, cost reductions) rather than vague duty descriptions. Expand listings above to see the exact framing each employer uses in their job descriptions.
Pay depends on the role, seniority, location, and employer — not on the schedule alone. Machine Learning roles in tech and data typically command premium rates, and specific ranges depend on seniority and sub-specialty (e.g. backend vs frontend, infra vs ML). Individual listings above show exact bands where the employer publishes them.
Depends on the role, but Machine Learning candidates who also demonstrate async communication, clean documentation, and cross-functional collaboration are typically strong fits for employers that run 4-day weeks or flexible schedules — those teams rely on written-first communication and high-context handoffs. Technical-adjacent skills vary by stack. Browse the top skills shown in the sidebar to see which tags co-occur most often with Machine Learning on current listings.
Work-life balance
85+ excellent, 70+ great, 55+ good. How we score
Schedule
Work-life balance
85+ excellent, 70+ great, 55+ good. How we score
Schedule
