Builds, trains and ships machine learning models inside real software products, from recommendation engines to fraud detection and language features. Levels.fyi puts typical pay at $282,750 a year (2026). BLS does not publish separate figures for software developers; it counts them within software developer (SOC 15-1252), whose median pay is $135,980 a year (BLS OEWS, May 2025). Typical entry-level education: Bachelor's degree.
- SOC 15-1252
- Computer and Mathematical
- Last updated October 9, 2026
At a glance
Machine Learning Engineer in four numbers
- Median pay
- $135,980a year, or $65.38/hrBLS OEWS, May 2025Lowest 10% $82KTop 10% $215K
US median, all jobs: $50,980
- Projected growth
- +10.2%Much faster than averageBLS EP, 2025–2035This career+10.2%All jobs+3.5%
Projected employment change, 2025–2035 Item Value This career +10.2% All jobs +3.5% - Openings a year
- 95,3001,717,800 jobs todayBLS EP, 2025–2035
- Jobs in 20251.7M
- Projected 20351.9M
Employment, 2025–2035 Item Value Jobs in 2025 1.7M Projected 2035 1.9M - Typical education
- Bachelor'sneeded to enterBLS EP, 2025–2035; mix: O*NET
- High school3.1%
- Certificate1.7%
- Associate's5.1%
- Bachelor's84.8%
- Post-bacc certificate0.8%
- Master's4.5%
Highest education held by software developers Segment Value High school 3.1% Certificate 1.7% Associate's 5.1% Bachelor's 84.8% Post-bacc certificate 0.8% Master's 4.5%
Also advertised as: ML Engineer, Applied Machine Learning Engineer, NLP Engineer, Deep Learning Engineer, Recommendation Systems Engineer.
Pay
How much do Software Developers make?
Industry-reported pay
$282,750
Median total compensation (base, bonus and stock), US machine learning engineers across all levels, self-reported; high is the 90th percentile.
- Top earners
- $500,000
Source: Levels.fyi, 2026 (published compensation survey). This is not a BLS figure: BLS counts software developers within software developer, whose pay is shown below. Levels.fyi: Machine Learning Engineer Salary in United States
Every machine learning engineer in the US, by percentile of annual wage
Median
$135,980
Middle half earn $105,210 to $171,980
- 10th
- $82,460
- 25th
- $105,210
- 75th
- $171,980
- 90th
- $214,670
All US occupations: $50,980
| Percentile | Value |
|---|---|
| 10th | $82,460 |
| 25th | $105,210 |
| Median | $135,980 |
| 75th | $171,980 |
| 90th | $214,670 |
| All US occupations | $50,980 |
Source: BLS OEWS, May 2025
- Median annual wage
- $135,980
- Median hourly wage
- $65.38/hr
- Mean annual wage
- $148,100
- People employed
- 1,687,890
Versus all US occupations
At $135,980, Software Developers earn 167% above the $50,980 median across all US occupations, a difference of $85,000 a year.
Versus computer and mathematical occupations
Inside the Computer and Mathematical group, where the middle occupation pays $116,580, this is 17% above the group median.
Pay range
The top 10% earn $214,670 or more while the bottom 10% earn $82,460, a gap of 2.6×. That is a typical spread for a US occupation.
Rank in the bank
This median pays more than 90% of the 1,741 occupations in the NueCareer career bank.
Highest-paying state
California pays the most at $174,410, and still leads at $157,523 once local prices are taken into account.
Pay by state
Which states pay Software Developers the most?
State medians come from the same OEWS release as the national figures. The cost-of-living column divides each state median by that state's BEA Regional Price Parity, restating pay in national-average dollars so a high-cost state and a low-cost one can be compared directly.
| State | Median | COL-adjusted | Employed |
|---|---|---|---|
| 1California | $174,410 | $157,523 | 284,390 |
| 2Washington | $166,540 | $155,626 | 107,030 |
| 3New York | $166,180 | $153,983 | 113,510 |
| 4Massachusetts | $165,210 | $156,217 | 48,190 |
| 5Oregon | $142,720 | $138,079 | 21,830 |
| 6New Hampshire | $139,720 | $134,133 | 10,840 |
| 7Maryland | $138,680 | $132,128 | 31,350 |
| 8Colorado | $138,390 | $134,291 | 43,320 |
| 9District of Columbia | $136,880 | $124,548 | 6,120 |
| 10Virginia | $136,460 | $134,970 | 88,280 |
Job outlook
Is Machine Learning Engineer a growing career?
Employment change over 2025–2035, against every US occupation
Much faster than average. +10.2% projected growth vs 3.5% for all occupations.
| Item | Value |
|---|---|
| Software Developers | +10.2% |
| All US occupations | +3.5% |
Source: BLS EP, 2025–2035
Much faster than average
BLS projects employment of Software Developers to change 10.2% over 2025–2035, roughly 2.9× the 3.5% projected for all occupations. That is 174,700 more jobs.
Annual openings
About 95,300 openings are projected each year, 5.5% of the 1,717,800 jobs that existed in 2025. Most come from workers leaving the occupation, not from growth alone.
Getting in
How to become a Machine Learning Engineer
Most machine learning engineers hold a bachelor's degree in computer science, statistics, mathematics or a related engineering field, and many add a master's degree with coursework in machine learning, such as the programs run by Carnegie Mellon's Machine Learning Department. Strong programming in Python, comfort with linear algebra and probability, and solid software engineering habits matter more than any single credential.
A common route is to start as a software engineer or data scientist and move toward ML work by taking on model-related projects. Portfolios help: published code, Kaggle competition results, or open-source contributions show that you can take a model from notebook to production. Cloud certifications in machine learning from the major providers are optional extras rather than requirements.
- 1
Typical entry-level education
Bachelor's degree
- 2
Work experience in a related occupation
None
- 3
Typical on-the-job training
None
- 4
Preparation needed (O*NET job zone)
Medium preparation
BLS Employment Projections, 2025–2035; job zone from O*NET 31.0 Database.
What education people in the job have
O*NET incumbent survey: the highest level of education reported by people already working as software developers.
- Bachelor's Degree84.8%
- Associate's Degree or other 2-year degree5.1%
- Master's Degree4.5%
- High School Diploma or the equivalent (such as a GED)3.1%
- Post-Secondary Certificate1.7%
| Item | Value |
|---|---|
| Bachelor's Degree | 84.8% |
| Associate's Degree or other 2-year degree | 5.1% |
| Master's Degree | 4.5% |
| High School Diploma or the equivalent (such as a GED) | 3.1% |
| Post-Secondary Certificate | 1.7% |
Source: O*NET 31.0 Database
The work
What does a Machine Learning Engineer do?
Machine learning engineers turn models into working features. They take a business problem, such as ranking search results, flagging fraudulent payments or understanding customer messages, and decide whether a model can solve it. They prepare training data, choose and train models with libraries like PyTorch or scikit-learn, and measure whether the results are good enough to ship.
The second half of the job is engineering. They package models so they can serve predictions quickly and reliably, write the code that feeds them fresh data, and monitor them after launch, because a model that worked last quarter can drift as user behavior changes. Many specialize: natural language processing engineers work with text and large language models, while recommendation engineers focus on ranking and personalization.
Day-to-day tasks
- Frame business problems as prediction, ranking or classification tasks
- Clean, label and version training datasets
- Train and tune models using frameworks such as PyTorch or TensorFlow
- Evaluate models against held-out data and agreed quality metrics
- Package models as services that return predictions with low latency
- Build pipelines that retrain models on fresh data
- Monitor live models for drift, bias and degraded accuracy
- Work with product teams to run A/B tests on model-driven features
Typical tasks, researched by NueCareer from the sources below.
Working conditions and hours
Machine learning engineers work at technology companies, banks, retailers, healthcare systems and startups, usually as part of a product or platform team. The work is desk-based, often hybrid or fully remote, and follows normal business hours with occasional on-call duty when a production model misbehaves. Expect a mix of focused coding, experiment review meetings and collaboration with data scientists and product managers.
Where the work happens
Indoors, climate-controlled
NeverEvery dayOutdoors in all weather
NeverEvery dayAlmost never works outdoors.
Physical demands
Sitting
NeverAlmost all the timeSeated for more than half the working day.
Standing
NeverAlmost all the timeBending or twisting
NeverAlmost all the time
Working with people
Contact with other people
NoneConstantFace-to-face discussions
NeverEvery dayDealing with the public
Not importantExtremely importantLittle or no dealing with customers or the public.
Pressure and stakes
Strict deadlines
NeverEvery dayConflict situations
NeverEvery dayConflict situations are rare.
Cost of a mistake
Not seriousExtremely serious
Autonomy
Freedom to decide
NoneA lotA lot of freedom to make decisions without checking first.
Conditions: O*NET Work Context survey. Each item has its own scale, so each dot is read against the two answers that end its own line.
Core skills
O*NET importance, 1 to 5
- Critical Thinking3.9
- Reading Comprehension3.5
- Active Learning3.5
- Active Listening3.4
- Writing3.3
- Speaking3.1
- Monitoring3.0
- Mathematics2.8
| Item | Value |
|---|---|
| Critical Thinking | 3.9 |
| Reading Comprehension | 3.5 |
| Active Learning | 3.5 |
| Active Listening | 3.4 |
| Writing | 3.3 |
| Speaking | 3.1 |
| Monitoring | 3.0 |
| Mathematics | 2.8 |
Source: O*NET 31.0 Database
Transferable skills
O*NET importance, 1 to 5
- Programming4.0
- Judgment and Decision Making3.6
- Systems Analysis3.5
- Complex Problem Solving3.4
- Technology Design3.4
- Systems Evaluation3.4
- Operations Analysis3.3
- Time Management3.1
| Item | Value |
|---|---|
| Programming | 4.0 |
| Judgment and Decision Making | 3.6 |
| Systems Analysis | 3.5 |
| Complex Problem Solving | 3.4 |
| Technology Design | 3.4 |
| Systems Evaluation | 3.4 |
| Operations Analysis | 3.3 |
| Time Management | 3.1 |
Source: O*NET 31.0 Database
Tools and software
- Analytical or scientific software · in demand
- Application server software · in demand
- Business intelligence and data analysis software · in demand
- Cloud-based data access and sharing software · in demand
- Cloud-based management software · in demand
- Configuration management software · in demand
- Content workflow software · in demand
- Customer relationship management CRM software · in demand
- Data base management system software · in demand
- Data base reporting software · in demand
- Data base user interface and query software · in demand
- Data mining software · in demand
“In demand” marks an O*NET Employer-Based Hot Technology, software named in real job postings for this occupation.
Personality fit
What personality type suits a Machine Learning Engineer?
NueCareer estimate (Holland code IRC) built on O*NET's Software Developer profile, scored 1 to 7
| Axis | Machine Learning Engineer |
|---|---|
| Realistic | 4 |
| Investigative | 6 |
| Artistic | 2 |
| Social | 2 |
| Enterprising | 2 |
| Conventional | 6 |
Source: O*NET 31.0 Database
What the work is built around
Day to day this is work built around investigating, analysing and solving problems with ideas and data, combined with organising, following procedures and working precisely with data.
- Investigative6.0
- Conventional5.6
- Realistic4.2
- Artistic2.4
- Enterprising1.9
- Social1.8
Closest MBTI types
NueCareer fit scores: cosine similarity between each MBTI type's interest vector and this occupation's O*NET interest profile. Not a BLS or O*NET figure; the method is documented on our methodology page.
Explore further
Careers related to Machine Learning Engineer
O*NET related occupations
- Computer and Mathematical
- Computer and Mathematical
- Computer and Mathematical
- Computer and Mathematical
- Computer and Mathematical
- Computer and Mathematical
More computer and mathematical careers
Median annual pay, with software developers highlighted
- Software Developer$135,980
- Machine Learning Engineer$135,980
- Actuary$130,000
- Data Scientist$120,230
- Business Intelligence Analyst$120,230
- Database Administrator$104,620
- Web Designer$104,000
- Computer Programmer$100,390
- Web Developer$92,650
| Item | Value |
|---|---|
| Software Developer | $135,980 |
| Machine Learning Engineer | $135,980 |
| Actuary | $130,000 |
| Data Scientist | $120,230 |
| Business Intelligence Analyst | $120,230 |
| Database Administrator | $104,620 |
| Web Designer | $104,000 |
| Computer Programmer | $100,390 |
| Web Developer | $92,650 |
Source: BLS OEWS, May 2025
Lists Machine Learning Engineer appears on
Questions
Machine Learning Engineer: frequently asked questions
How much do Software Developers make?
Levels.fyi reports $282,750 (median total compensation (base, bonus and stock), US machine learning engineers across all levels, self-reported; high is the 90th percentile, 2026), with top earners around $500,000. BLS does not publish a separate wage for software developers. It counts them within software developer, whose median pay is $135,980 a year (BLS OEWS, May 2025). The middle half of that occupation earn between $105,210 and $171,980, and the top 10% earn $214,670 or more.
Do you need a degree to become a Machine Learning Engineer?
Yes. BLS reports a bachelor's degree as the typical entry-level education for Software Developers, and O*NET rates the preparation needed as medium preparation. In O*NET's survey of people already doing the job, 84.8% hold bachelor's degree.
Is Machine Learning Engineer a growing career?
Yes, strongly. Employment is projected to grow 10.2% over 2025–2035, more than double the 3.5% projected for all occupations (BLS EP, 2025–2035). BLS still projects about 95,300 openings a year, mostly from workers retiring or moving to other work.
What does a Machine Learning Engineer do?
Machine learning engineers turn models into working features. A typical task: frame business problems as prediction, ranking or classification tasks. Employers most often ask for Analytical or scientific software, Application server software, Business intelligence and data analysis software.
Which states pay Software Developers the most?
The highest state medians for Software Developers are California ($174,410), Washington ($166,540), New York ($166,180) (BLS OEWS, May 2025).
What personality type suits a Machine Learning Engineer?
O*NET scores Software Developers highest on the Investigative, Conventional and Realistic interest areas, so the work mixes investigating, analysing and solving problems with ideas and data with organising, following procedures and working precisely with data. On NueCareer's MBTI-to-interest mapping the closest types are ISTJ, INTJ. Personality is a fit signal, not a gate. The free NueCareer quiz scores your own profile against all 1,731 careers in the bank.