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reinforcement learning (RL) jobs in 2026 — demand, top roles hiring, and related skills

As of 2026-10-30, reinforcement learning (RL) appears in 71 job postings indexed by Skillenai over the past 90 days — Research Scientist has the most postings mentioning reinforcement learning (RL).

Last updated · 90d ending 2026-10-30

Postings · last 90 days
71
Top role · 16.9% of skill postings
Research Scientist
Top hiring metro
San Francisco

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Frequently asked questions about reinforcement learning (RL)

+Is reinforcement learning (RL) in demand in 2026?

Yes. reinforcement learning (RL) appears in 71 job postings indexed by Skillenai over the 90 days ending 2026-10-30. Research Scientist accounts for the most postings mentioning reinforcement learning (RL) (16.9% of all postings mentioning reinforcement learning (RL)).

+What jobs require reinforcement learning (RL)?

According to the Skillenai jobs index over the 90 days ending 2026-10-30, among roles with at least 20 postings, the highest shares mentioning reinforcement learning (RL) are ML Systems Engineer (4.2% of that role’s postings mention reinforcement learning (RL)), Applied Research Scientist (4.0% of that role’s postings mention reinforcement learning (RL)), ML Research Engineer (2.7% of that role’s postings mention reinforcement learning (RL)).

+What skills are commonly paired with reinforcement learning (RL)?

Across job postings indexed by Skillenai (90 days ending 2026-10-30), reinforcement learning (RL) most often appears alongside Python, PyTorch, JAX, TensorFlow, distributed training.

+Where is reinforcement learning (RL) most in demand?

As of 2026-10-30, the metro areas posting the most jobs requiring reinforcement learning (RL) are San Francisco, Mountain View, Sunnyvale, Broken Bow, Singapore, according to the Skillenai jobs index.

+How can I keep up with new reinforcement learning (RL) content and jobs?

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

+Which skills come before and after reinforcement learning (RL)?

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 (RL) — last 90 days

Career paths around reinforcement learning (RL)

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before reinforcement learning (RL)

Before reinforcement learning (RL)ETL → reinforcement learning (RL): 1 observed employer moves with this skill pairdata warehouses → reinforcement learning (RL): 1 observed employer moves with this skill pairBI dashboards → reinforcement learning (RL): 1 observed employer moves with this skill pairweb servers → reinforcement learning (RL): 1 observed employer moves with this skill pairArtificial Intelligence (AI) inventory system → reinforcement learning (RL): 1 observed employer moves with this skill pairautomated ETL processes → reinforcement learning (RL): 1 observed employer moves with this skill pairorder parameter → reinforcement learning (RL): 1 observed employer moves with this skill pairAgile → reinforcement learning (RL): 1 observed employer moves with this skill pairreinforcementlearning (RL)ETL: 1 movesETL1 movesdata warehouses: 1 movesdata warehouses1 movesBI dashboards: 1 movesBI dashboards1 movesweb servers: 1 movesweb servers1 movesArtificial Intelligence (AI) inventory system: 1 movesArtificialIntelligence (AI)inventory system1 movesautomated ETL processes: 1 movesautomated ETLprocesses1 movesorder parameter: 1 movesorder parameter1 movesAgile: 1 movesAgile1 moves

Skills after reinforcement learning (RL)

After reinforcement learning (RL)reinforcement learning (RL) → spark: 1 observed employer moves with this skill pairreinforcement learning (RL) → a/b testing: 1 observed employer moves with this skill pairreinforcement learning (RL) → python: 1 observed employer moves with this skill pairreinforcement learning (RL) → machine learning algorithms: 1 observed employer moves with this skill pairreinforcement learning (RL) → Power BI: 1 observed employer moves with this skill pairreinforcement learning (RL) → sql: 1 observed employer moves with this skill pairreinforcement learning (RL) → regression: 1 observed employer moves with this skill pairreinforcement learning (RL) → Kafka Producer: 1 observed employer moves with this skill pairreinforcementlearning (RL)spark: 1 movesspark1 movesa/b testing: 1 movesa/b testing1 movespython: 1 movespython1 movesmachine learning algorithms: 1 movesmachine learningalgorithms1 movesPower BI: 1 movesPower BI1 movessql: 1 movessql1 movesregression: 1 movesregression1 movesKafka Producer: 1 movesKafka Producer1 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: ETL1
Before: data warehouses1
Before: BI dashboards1
Before: web servers1
Before: Artificial Intelligence (AI) inventory system1
Before: automated ETL processes1
Before: order parameter1
Before: Agile1
After: spark1
After: a/b testing1
After: python1
After: machine learning algorithms1
After: Power BI1
After: sql1
After: regression1
After: Kafka Producer1

Roles most likely to require reinforcement learning (RL)

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

RolePostings mentioning skill% of role postings mentioning skill
ML Systems Engineer14.2%
Applied Research Scientist14.0%
ML Research Engineer12.7%
Research Engineer111.6%
AI Research Engineer11.4%
AI Research Scientist11.3%
Research Scientist121.2%
AI Software Engineer20.7%
Robotics Software Engineer10.6%
Machine Learning Engineer50.2%

Roles with the most reinforcement learning (RL) postings

RolePostings mentioning skillShare of skill postings
Research Scientist1216.9%
Research Engineer1115.5%
Machine Learning Engineer57.0%
Data Scientist45.6%
AI Engineer34.2%
Machine Learning Infrastructure Engineer34.2%
AI Software Engineer22.8%
LLM Agent Research Scientist22.8%
ML Engineer22.8%
PhD Researcher22.8%

Top companies posting jobs requiring reinforcement learning (RL)

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

Top companies posting jobs requiring reinforcement learning (RL)
CompanyPostings · 90 days
Bosch6
Waymo5
Applied Intuition4
CLERA4
Grab3
ServiceNow3
Pluralis Research2
Canva2
NVIDIA2
Accenture2

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 (RL)

NamePostingsShare
San Francisco1419.7%
Mountain View79.9%
Sunnyvale57.0%
Broken Bow45.6%
Singapore45.6%
Beijing34.2%
London34.2%
New York City22.8%
Palo Alto22.8%

Skills commonly paired with reinforcement learning (RL)

Python (42)PyTorch (37)JAX (14)TensorFlow (13)distributed training (11)RLHF (9)fine-tuning (9)post-training (9)computer vision (8)machine learning (8)

Explore related pages

How this was computed

Weekly job-count charts omit the incomplete current week (weeks start Monday, UTC). Totals include all postings in the stated window. Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-30. 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 (RL) 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 (RL) postings by all reinforcement learning (RL) 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). An adjusted trend is not shown because comparable posting coverage is insufficient.

source
Skillenai jobs index, deduplicated daily
entity_id
e53b76d3b044741a
data_as_of
2026-10-30
window_days
90
Compiled by Jared Rand · Data sourced from the Skillenai labor market index