Question 1

Which companies hire Keras specialists on a 4-day work week?

Accepted Answer

Employers hiring for Keras on this page include Braze, Experian, and Calendly. Keras roles appear most frequently in engineering, data, and platform teams at companies that have adopted a reduced-hours schedule. Each listing indicates the seniority level and whether Keras is a primary requirement or one of several preferred skills — expand any role above to see the full stack and responsibilities.

Question 2

What seniority levels commonly hire for Keras on reduced-hours schedules?

Accepted Answer

Keras roles span the full seniority range — we list 20 open roles requiring Keras across entry-level, mid-level, senior, lead, and staff/principal positions. Senior and above tend to dominate because employers offering reduced-hours schedules often lean toward experienced individual contributors who can deliver consistently in fewer hours. Filter by level in the sidebar to narrow the list above.

Question 3

How should I position Keras experience for 4-day-week applications?

Accepted Answer

Lead with measurable outcomes over time spent — Keras hiring managers at reduced-hours companies 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.

Question 4

Do Keras salaries at 4-day-week companies match 5-day employers?

Accepted Answer

For the full-pay schedules here — 4-day weeks and 9-day fortnights — yes: you keep a full-time salary for a shorter week. Part-time and pro-rata roles instead scale pay to hours, and each listing makes the arrangement clear. Keras roles in tech and data typically command premium rates at both reduced-hours and traditional employers; specific ranges depend on seniority, location, and sub-specialty (e.g. backend vs frontend, infra vs ML). Individual listings above show exact bands where the employer publishes them.

Question 5

Which complementary skills strengthen a Keras application?

Accepted Answer

Depends on the role, but Keras candidates who also demonstrate async communication, clean documentation, and cross-functional collaboration are typically strong fits for reduced-hours employers — those companies rely on written-first communication and high-context handoffs to operate on a compressed schedule. Technical-adjacent skills vary by stack. Browse the top skills shown in the sidebar to see which tags co-occur most often with Keras on current listings.

Keras Jobs with a Great Work-Life Balance

Browse 20+ keras jobs at companies offering best places to work and unlimited PTO—full pay and a better work-life balance. 3 new this week. Hiring companies include Braze, Experian, and Calendly.

Machine Learning Engineer

Machine Learning Engineer, Risk Modeling

Senior Software Engineer, Agent Platform

Forward-Deployed Data Scientist

Forward-Deployed Data Scientist

Senior Data Scientist (AI Deployment)

Data Scientist II (AI Deployment)

Frequently asked questions

Machine Learning Engineer

Machine Learning Engineer, Risk Modeling

Senior Software Engineer, Agent Platform

Forward-Deployed Data Scientist

Forward-Deployed Data Scientist

Senior Data Scientist (AI Deployment)

Data Scientist II (AI Deployment)

Frequently asked questions

Jobs by Location

Popular Skills

Keras Jobs with a Great Work-Life Balance

Browse 20+ keras jobs at companies offering best places to work and unlimited PTO—full pay and a better work-life balance. 3 new this week. Hiring companies include Braze, Experian, and Calendly.

Job listings

Frequently asked questions

Job listings

Frequently asked questions

Jobs by Location

Popular Skills