Headline risk
49%
High RiskML Engineer
This page reuses the same role shell as Singapore, but the component occupations are mapped onto the United States layer so the score, context, and support bundle reflect US public evidence.
Why this score
89% of tasks overlap with current AI
18% human advantage from judgment & presence
76% demand buffer from the local labour market
These factors combine multiplicatively — larger bars do not mean proportionally larger contributions to the final score.
Weighted overlap across component occupations
Human coordination and physical presence protection
Blended local-market buffer for this role
Component coverage and mapping quality
Workflow profile
Heuristic workflow context blended from the role mix. This explains the score; it is not used as a direct local-market forecast.
Workflow dimensions (0 = low, 1 = high)
United States support
Evidence bundle
Weighted task overlap from O*NET statements and Anthropic penetration
Median annual wage from BLS OEWS
Employment projections and openings from BLS
Preparation and entry requirements from O*NET and BLS
Support snapshot
Job zone
5The occupation usually needs extensive preparation, training, and experience.
Median wage
USD 140,910USD 102,710 to USD 181,210
Openings
3.2K19.7% projected change
Median age
46.4646K employed
Occupation profile
Conduct research into fundamental computer and information science as theorists, designers, or inventors. Develop solutions to problems in the field of computer hardware and software.
Job Zone 5 · Extensive preparation
The occupation usually needs extensive preparation, training, and experience.
Task primitives
Matched task weight share: 100% · Effective coverage: 36%
Concentration: 22%
Wage context
Median annual
USD 140,910
Mean annual
USD 152,310
Hourly median: USD 68
Employment: 38,480 workers
10th percentile: USD 80,670
90th percentile: USD 232,120
Demand outlook
2024 employment
40.3K
2034 employment
48.3K
Openings: 3.2K
Projected change: 19.7%
Education: Master's degree
Work experience: None
On-the-job training: None
Median wage in projections: USD 140,910
Employment of computer and information research scientists is projected to grow 20 percent from 2024 to 2034, much faster than the average for all occupations.
Requirements and friction
Telework: 62.8% · Telework: 37.2% · Credentials: 7.6%
Narrative and skills
Computer and information research scientists design innovative uses for new and existing computing technology.
Most computer and information research scientists work full time.
Computer and information research scientists typically need at least a master’s degree in computer science or a related field. In the federal government, a bachelor’s degree may be sufficient for some jobs.
The median annual wage for computer and information research scientists was $140,910 in May 2024.
Employment of computer and information research scientists is projected to grow 20 percent from 2024 to 2034, much faster than the average for all occupations.
Jobs: 40,300
Median pay: USD 140,910
Employment outlook: Employment of computer and information research scientists is projected to grow 20 percent from 2024 to 2034, much faster than the average for all occupations.
Openings: 7,900
Tasks and tools
- 1. Analyze problems to develop solutions involving computer hardware and software. · AI use 87%
- 2. Conduct logical analyses of business, scientific, engineering, and other technical problems, formulating mathematical models of problems for solution by computers. · AI use 90%
- 3. Apply theoretical expertise and innovation to create or apply new technology, such as adapting principles for applying computers to new uses. · AI use 0%
- 4. Meet with managers, vendors, and others to solicit cooperation and resolve problems. · AI use 0%
- 5. Assign or schedule tasks to meet work priorities and goals. · AI use 100%
- 6. Design computers and the software that runs them. · AI use 0%
Work context
- E-Mail: 5.0/5
- Indoors, Environmentally Controlled: 4.8/5
- Face-to-Face Discussions with Individuals and Within Teams: 4.7/5
- Spend Time Sitting: 4.5/5
- Contact With Others: 4.4/5
- Work With or Contribute to a Work Group or Team: 4.4/5
Tech density
6/6
6 hot · 6 in demand
Work pace
4.6/5
Average of the strongest work-context signals.
Worker profile
Median age: 46.4
Total employed: 646K · Under 25: 1% · 25 to 54: 78% · 55+: 22%
Support note
Built from O*NET occupation descriptions, task statements, technology skills, work context, Job Zones, Anthropic task penetration, BLS OEWS wages, BLS projection tables, BLS ORS requirements, BLS OOH narrative content, BLS skills data, and BLS CPS occupation age tables.
Source vintage
O*NET 30.2 / OEWS 2024 / ORS 2025 / OOH 2025-08-28 / Projections 2024-34 / CPS 2025 / Anthropic task penetration
Component occupations
Computer and information research scientists
15-1221 · 40% weight
Data scientist
Support bundle: Extensive preparation
Software developers
15-1252 · 40% weight
Software developer
Support bundle: Moderate preparation
Database administrators
15-1242 · 20% weight
Database administrator
Support bundle: Moderate preparation
Methodology
Shared spine
structural_pressure = exposure × (1 - bottleneck)
Country layer
headline_risk = structural_pressure × (1 - country_demand_resilience)
Published limitations
This is a synthetic role view built from mapped occupations. It reuses the same shell and visual components as the Singapore role pages, but only the US sources that actually exist are rendered here.