Everything You Need to Find Machine Learning Developers
Our platform gives you unprecedented access to verified Machine Learning developers with proven track records — so you can evaluate and hire exceptional Machine Learning developers quickly and cost-effectively.
Verified Machine Learning Skills
Every Machine Learning developer's skills are validated through actual GitHub repositories, not just resume claims.
- Real Machine Learning projects analyzed
- Contribution history verified
- Code quality signals included
Advanced Filtering
Find exactly the Machine Learning developers you need with precise filtering capabilities.
- Machine Learning experience levels
- Location and timezone filters
- Activity and repository filters
Direct Contact Access
Get verified email addresses and contact information for Machine Learning developers instantly.
- Direct email access
- No middlemen
- Reach out the same day
No Recruiting Fees
Hire Machine Learning developers directly without expensive agency markups or placement fees.
- Flat subscription pricing
- No per-hire fees
- Unlimited outreach on paid plans
Faster Hiring Process
Reduce time-to-hire for Machine Learning positions from months to weeks with pre-qualified candidates.
- Pre-verified profiles
- Skip resume screening
- Start conversations faster
Quality Assurance
Every Machine Learning developer profile includes comprehensive quality metrics and verification.
- Public work you can inspect
- Recent activity signals
- Related skill pairings
Traditional Recruiting vs. RealGreatDevs for Machine Learning
Traditional Recruiting
The old way
- 15–25% placement fees
- Months to fill a role
- Resume claims, not proof
- Limited Machine Learning specialist reach
RealGreatDevs
The smart way
- No recruiting fees
- Instant Machine Learning developer search
- Skills verified by public code
- 5,298+ Machine Learning developers
Hire Machine Learning Developers in 4 Steps
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Search Machine Learning Developers
Advanced filters
Use our powerful filters to find Machine Learning developers by experience, location, and specific skills.
Analyze Their Code
GitHub verification
Review actual Machine Learning projects, contribution patterns, and code quality metrics.
Contact Directly
No middlemen
Get verified email addresses and reach out to Machine Learning developers directly.
Hiring in United States is as much a scheduling question as a sourcing one. At UTC-6, that means a short morning or evening overlap with Western Europe and near-complete overlap with the US West Coast. That decides whether you are hiring someone who joins your stand-up or someone who hands off to it.
Developers in United States cluster in Brazil, New York, Seattle and San Francisco. City counts cover every indexed developer there, not only the ones using Machine Learning, so treat them as where the country's engineering population sits rather than a count for this skill.
Machine Learning developers in United States most often pair it with Python (95.8%), Jupyter (73.1%) and HTML (69.4%).
Developer cities in United States
All indexed developers per city, across every skill.
- Brazil16,161
- New York13,990
- Seattle10,815
- San Francisco7,176
- Chicago6,497
- Austin5,899
- Poland4,776
- Italy4,710
- Atlanta4,497
- Boston4,399
Counts are developers in the indexed profile set.
Other skills hired in United States
Each links to the same country breakdown for that technology.
- JavaScript145,605
- Python129,510
- HTML128,822
- CSS76,824
- TypeScript72,669
- Java71,728
- C++55,760
- Jupyter49,978
- Bash / Shell49,148
- C44,464
- Ruby37,679
- PHP34,141
- C#33,597
- Go28,669
Counts are developers in the indexed profile set.
What Machine Learning developers in United States also use
Share of this group who also work with each technology.
- Python5,050 · 95.8%
- Jupyter3,855 · 73.1%
- HTML3,655 · 69.4%
- JavaScript3,470 · 65.8%
- Java2,310 · 43.8%
- C++2,140 · 40.6%
- Deep Learning2,035 · 38.6%
- CSS2,010 · 38.1%
- TypeScript1,830 · 34.7%
- C1,605 · 30.5%
- Bash / Shell1,425 · 27%
- AI1,265 · 24%
Counts are developers in the indexed profile set.
What Machine Learning developers in United States look like
Measured across the profiles in this group, not self-reported.
- Median public contributions, last 12 months
- 81
- Median public repositories
- 31
- Median followers
- 20
- Have a linked LinkedIn profile
- 48%
- Flagged as open to work on GitHub
- 39.6%
Years of experience
- 0–2 years9%
- 3–5 years19%
- 6–9 years41%
- 10+ years32%
Shares of the profiles in this group where experience could be derived.
Sample profiles from United States
Real indexed developers, reduced to ranges and derived labels so no individual is identifiable.
- Contributions / year
- 1,000–2,000
- Public repositories
- 50–75
- Followers
- 10–25
- Contributions / year
- 0–50
- Public repositories
- 5–10
- Followers
- 50–100
- Contributions / year
- 1,000–2,000
- Public repositories
- 35–50
- Followers
- 10–25
- Contributions / year
- 50–100
- Public repositories
- 10–20
- Followers
- 25–50
- Contributions / year
- 250–500
- Public repositories
- 10–20
- Followers
- 500–1,000
- Contributions / year
- 5,000–7,500
- Public repositories
- 50–75
- Followers
- 25–50
Figures are shown as ranges and identifying details are removed. Full profiles, including GitHub handles and contact details, are available to signed-in users.
Frequently asked questions
How many Machine Learning developers are there in United States?
5,298 developers based in United States show Machine Learning in their public GitHub work, which is 13.6% of all 38,883 Machine Learning developers in the index.
Which cities in United States have the most developers?
Brazil (16,161), New York (13,990), Seattle (10,815), San Francisco (7,176) and Chicago (6,497). These are counts of all indexed developers in each city.
Do working hours in United States overlap with my team?
At UTC-6, that means a short morning or evening overlap with Western Europe and near-complete overlap with the US West Coast.
How active are Machine Learning developers in United States?
The median developer in this group made 81 public contributions in the last year across 31 public repositories, with a median of 20 followers.
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