Skillenai

Reinforcement learning jobs in 2026 — demand, top roles hiring, and related skills

As of 2026-09-30, Reinforcement learning appears in 1,721 job postings indexed by Skillenai over the past 90 days — Machine Learning Engineer has the most postings mentioning Reinforcement learning, with demand share down 3.7% vs the prior 4 weeks.

Last updated · 90d ending 2026-09-30

Postings · last 90 days
1,721
Demand vs prior month
down 3.7% vs the prior 4 weeks
Top role · 11.8% of skill postings
Machine Learning Engineer
Top hiring metro
San Francisco

Which roles want Reinforcement learning?

Upload your resume and Skillenai will show which roles your Reinforcement learning experience fits, which skills you already cover, and what is missing.

See which roles your Reinforcement learning experience fits →No account needed.

Prepare to discuss Reinforcement learning in your interview

We’re building mock interviews informed by job postings and career profiles, to help you explain how you’ve used Reinforcement learning.

Join the mock interview waitlist →AI or human interviews. Coming soon.

Frequently asked questions about Reinforcement learning

+Is Reinforcement learning in demand in 2026?

Yes. Reinforcement learning appears in 1,721 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Machine Learning Engineer accounts for the most postings mentioning Reinforcement learning (11.8% of all postings mentioning Reinforcement learning).

+What jobs require Reinforcement learning?

According to the Skillenai jobs index over the 90 days ending 2026-09-30, among roles with at least 20 postings, the highest shares mentioning Reinforcement learning are Machine Learning Researcher (26.3% of that role’s postings mention Reinforcement learning), AI/ML Scientist (26.1% of that role’s postings mention Reinforcement learning), ML Researcher (24.2% of that role’s postings mention Reinforcement learning).

+What skills are commonly paired with Reinforcement learning?

Across job postings indexed by Skillenai (90 days ending 2026-09-30), Reinforcement learning most often appears alongside Python, machine learning, PyTorch, deep learning, TensorFlow.

+Where is Reinforcement learning most in demand?

As of 2026-09-30, the metro areas posting the most jobs requiring Reinforcement learning are San Francisco, New York City, Mountain View, London, Sunnyvale, according to the Skillenai jobs index.

+How can I keep up with new Reinforcement learning content and jobs?

Skillenai indexes news, blog posts, and research papers mentioning Reinforcement learning alongside the jobs index. You can subscribe to a daily email digest of new Reinforcement learning content from your Skillenai account.

+Which skills come before and after Reinforcement learning?

The skill-flow chart shows skills documented in adjacent positions across observed employer changes. An outgoing skill is documented in the following position but not the preceding one. These are ideas to explore, not proven prerequisites, acquisition dates, or levels of mastery. Each ribbon counts employer moves with that skill pair; one move can contribute several pairs.

Weekly indexed postings requiring Reinforcement learning — last 90 days

Salary distribution

Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized

Career paths around Reinforcement learning

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before Reinforcement learning

Before Reinforcement learningpython → Reinforcement learning: 16 observed employer moves with this skill pairdocker → Reinforcement learning: 7 observed employer moves with this skill pairNLP → Reinforcement learning: 6 observed employer moves with this skill pairtensorflow → Reinforcement learning: 6 observed employer moves with this skill pairspark → Reinforcement learning: 5 observed employer moves with this skill pairscikit-learn → Reinforcement learning: 5 observed employer moves with this skill pairPower BI → Reinforcement learning: 5 observed employer moves with this skill pairsql → Reinforcement learning: 5 observed employer moves with this skill pairReinforcementlearningpython: 16 movespython16 movesdocker: 7 movesdocker7 movesNLP: 6 movesNLP6 movestensorflow: 6 movestensorflow6 movesspark: 5 movesspark5 movesscikit-learn: 5 movesscikit-learn5 movesPower BI: 5 movesPower BI5 movessql: 5 movessql5 moves

Skills after Reinforcement learning

After Reinforcement learningReinforcement learning → rag: 4 observed employer moves with this skill pairReinforcement learning → prompt engineering: 4 observed employer moves with this skill pairReinforcement learning → docker: 4 observed employer moves with this skill pairReinforcement learning → python: 4 observed employer moves with this skill pairReinforcement learning → LLMs: 3 observed employer moves with this skill pairReinforcement learning → Kafka: 3 observed employer moves with this skill pairReinforcement learning → llm: 2 observed employer moves with this skill pairReinforcement learning → machine learning models: 2 observed employer moves with this skill pairReinforcementlearningrag: 4 movesrag4 movesprompt engineering: 4 movesprompt engineering4 movesdocker: 4 movesdocker4 movespython: 4 movespython4 movesLLMs: 3 movesLLMs3 movesKafka: 3 movesKafka3 movesllm: 2 movesllm2 movesmachine learning models: 2 movesmachine learningmodels2 moves
How to read this chart · view counts

Each side is an independent set of observed employer moves, not the same people followed through three stages. Ribbon widths compare move counts within that side. Internal moves are not included.

The following position documents a skill that the preceding position does not. Skills must be linked to both positions, with clear dates and no overlap. One move can connect several skill pairs. These patterns suggest skills to explore; they do not establish prerequisites, when a skill was learned, or a higher skill level.

Source: Skillenai talent graph, historical career profiles. Historical descriptions and coverage can change. Only the leading published connections are shown.

Observed connections and move counts
ConnectionMoves
Before: python16
Before: docker7
Before: NLP6
Before: tensorflow6
Before: spark5
Before: scikit-learn5
Before: Power BI5
Before: sql5
After: rag4
After: prompt engineering4
After: docker4
After: python4
After: LLMs3
After: Kafka3
After: llm2
After: machine learning models2

Roles most likely to require Reinforcement learning

Among roles with at least 20 postings in the same period.

RolePostings mentioning skill% of role postings mentioning skill
Machine Learning Researcher1026.3%
AI/ML Scientist626.1%
ML Researcher824.2%
Research Intern1323.2%
AI Researcher2722.7%
Research Engineer13622.2%
AI Research Scientist1822.2%
Lecturer521.7%
AI Research Engineer2020.4%
Postdoctoral Researcher419.0%

Roles with the most Reinforcement learning postings

RolePostings mentioning skillShare of skill postings
Machine Learning Engineer20311.8%
Research Engineer1367.9%
Research Scientist1337.7%
Software Engineer1317.6%
ML Engineer844.9%
Data Scientist804.6%
AI Engineer613.5%
Applied Scientist342.0%
Product Manager331.9%
AI Researcher271.6%

Top companies posting jobs requiring Reinforcement learning

Employers ranked by indexed job postings in the last 90 days.

Top companies posting jobs requiring Reinforcement learning
CompanyPostings · 90 days
Waymo83
CLERA75
Scale AI56
Helsing49
Anthropic44
Wayve38
Google36
NVIDIA31
Bosch24
OpenAI23

Job postings indexed over the past 90 days, grouped by resolved employer. Counts are postings, not hires. Companies without a published page appear without a link.

Top metros hiring for Reinforcement learning

NamePostingsShare
San Francisco25514.8%
New York City1126.5%
Mountain View834.8%
London754.4%
Sunnyvale613.5%
Munich462.7%
Santa Clara422.4%
Singapore392.3%
San Jose331.9%

Skills commonly paired with Reinforcement learning

Python (942)machine learning (630)PyTorch (587)deep learning (365)TensorFlow (313)C++ (260)fine-tuning (209)JAX (197)imitation learning (193)computer vision (185)

Get a daily email digest of new Reinforcement learning content

Skillenai indexes news articles, blog posts, and research papers that mention Reinforcement learning. Click below and we'll open a pre-filled daily digest — change the cadence to hourly or weekly if you prefer, then save. Free account required (~30 seconds).

Get the Reinforcement learning content digest →Browse all skills →

Explore related pages

How this was computed

Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-30. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Role prevalence divides postings mentioning Reinforcement learning by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Reinforcement learning postings by all Reinforcement learning postings, including postings without a role. Shares need not sum to 100% for the displayed roles. Pages refresh weekly (or daily for the top-50 most-requested skills). Adjusted posting share: 0.8% to 0.8%. Demand share change is the relative percentage change between these adjusted shares. Each employer-and-ATS group has at least 10 postings in each 90-day window; its earlier posting count supplies the same weight in both windows. The panel includes 2,596 identified employers and covers 68% of earlier and 72% of latest indexed postings. Windows: 2026-06-02 to 2026-08-31 and 2026-06-30 to 2026-09-28 (UTC; end dates excluded). The windows overlap by 62 days. Dates reflect indexing, not the employer’s posting date. This measures posting mix, not total hiring or market-wide demand. Matching excludes entrants and exits; changes in crawl completeness within an employer or ATS can still affect the result.

source
Skillenai jobs index, deduplicated daily
entity_id
df034df3eb79e2e3
data_as_of
2026-09-30
window_days
90
Hiring engineers who use Reinforcement learning?

The demand, skills, and geo numbers on this page come from the same Skillenai labor market index that powers our API. Use it for compensation benchmarking, hiring-competition analysis, and skill-adoption tracking.

Skillenai for recruiters →
Compiled by Jared Rand · Data sourced from the Skillenai labor market index