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Iterable · Remote · Chicago, IL +6 more
Phaidra · Remote · UK
Phaidra · Remote · USA or Canada
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Spotify · Remote · London or Stockholm
Airbnb · Remote · USA
Airbnb · Remote · China
Block · Remote · Toronto, ON, Canada
Block · Remote · Bay Area, USA
Pinterest · Remote · USA
Pinterest · Remote · Toronto, ON, Canada
Pinterest · Remote · USA
Waabi · Remote · USA or Canada
Duolingo · Hybrid · New York, NY or Pittsburgh, PA
Anthropic · Hybrid · San Francisco, CA, USA
SIXT · Hybrid · Lisbon, Portugal
Commerzbank Poland · Hybrid · Łódź, Łódź Voivodeship, Poland
Commerzbank Poland · Hybrid · Łódź, Łódź Voivodeship, Poland
Sereact · Onsite · Stuttgart, Baden-Württemberg, Germany
Wheely · Hybrid · Nicosia, Nicosia or London, England
Wheely · Hybrid · London or Nicosia, Nicosia
Nomagic · Hybrid · Zurich, Switzerland
Nomagic · Hybrid · Zurich, Switzerland
Genentech · Hybrid · South San Francisco, CA, USA
Etsy · Hybrid · Brooklyn, NY, USA
Emergent · Onsite · Bangalore, India
REVEL Robotics · Onsite · Prague, Czech Republic
REVEL Robotics · Onsite · Prague, Czech Republic
Anthropic · Hybrid · San Francisco, CA, USA
Ubisoft Montreal · Onsite · Montreal, QC, Canada
Duolingo · Hybrid · New York, NY or Pittsburgh, PA
Spotify · Hybrid · New York City, NY, USA
Spotify · Hybrid · London or Stockholm
DigitalOcean · Hybrid · Seattle, WA, USA
DigitalOcean · Hybrid · Seattle, WA, USA
DigitalOcean · Hybrid · Hyderabad, Telangana, India
Liquid AI · Hybrid · Tokyo, Japan
Roboflow · Onsite · San Francisco, CA, USA
Roboflow · Onsite · San Francisco, CA, USA
Match Group · Hybrid · Seoul, South Korea
Amgen · Onsite · Hyderabad, India
Etsy · Hybrid · Brooklyn, NY, USA
Armada · Onsite · Bellevue, WA, USA
ServiceNow · Onsite · Santa Clara, CA, USA
Sierra · Onsite · San Francisco, CA, USA
ServiceNow · Onsite · Mountain View, CA, USA
Match Group · Hybrid · Seoul, South Korea
Braze · Hybrid · Chicago, IL, USA
Braze · Hybrid · Chicago, IL, USA
ServiceNow · Onsite · Santa Clara, CA, USA
P-1 AI · Hybrid · San Francisco, CA, USA
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Employers hiring for Reinforcement Learning on this page include Anthropic, Pinterest, and Fin. Reinforcement 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 Reinforcement Learning is a primary requirement or one of several preferred skills — expand any role above to see the full stack and responsibilities.
Reinforcement 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 — Reinforcement 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. Reinforcement 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 Reinforcement 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 Reinforcement 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