North America · $20K–$120K
Machine Learning Engineer in United States
Direct answer
To hire machine learning engineer united states, hire a senior engineer with production launches, clear English communication, and guaranteed working-hours overlap. Senior React Native engineers in the US typically earn $130K–$200K+ base — Glassdoor's 2026 median sits near $129K, with San Francisco and New York well above it. Typical remote machine learning engineer projects run $20K–$120K. Dhairya Senjaliya works with teams across San Francisco, New York, and Austin and the rest of United States — Top Rated on Upwork, Expensify contributor, 20+ app launches.
Looking to hire machine learning engineer for a team in United States? United States is home to the world's largest SaaS and startup market, from YC-backed seed startups to enterprise product teams — and I help founders, CTOs, and agencies there ship production ml work: React Native and Next.js frontends, Python/FastAPI backends, RAG systems, and AI agents, with weekly demos and async updates aligned to US Eastern, Central, and Pacific overlap.
Hiring a machine learning engineer for United States
Hiring a machine learning engineer in United States usually means competing with San Francisco, New York, and Austin pay. Senior React Native engineers in the US typically earn $130K–$200K+ base — Glassdoor's 2026 median sits near $129K, with San Francisco and New York well above it. US product agencies commonly quote $100–250/hr, with project minimums of $25K–50K. Working with a senior remote engineer typically saves 40–60% versus local US agency rates while keeping production quality, billed transparently in USD or USD — with one accountable owner across mobile, web, backend, and AI, and no multi-vendor coordination or junior hand-offs.
What a machine learning engineer costs in United States
| Option | Typical cost | What to factor in |
|---|---|---|
| Hire in-house in United States | Senior React Native engineers in the US typically earn $130K–$200K+ base — Glassdoor's 2026 median sits near $129K, with San Francisco and New York well above it. | Add a 3–6 month hiring cycle, plus benefits and payroll overhead. |
| Local US agency | US product agencies commonly quote $100–250/hr, with project minimums of $25K–50K. | Multi-person teams, project minimums, and junior hand-offs are common. |
| Senior remote engineer (me) | $20K–$120K per project, milestone-based | One accountable senior owner. Live overlap through 12:30 PM Eastern / 9:30 AM Pacific every workday — standups and demos happen in your morning, and finished work lands overnight. |
Salary and agency ranges are typical published figures from Glassdoor, Arc.dev, Stack Overflow survey data, and public agency rate cards (2026) — see sources below. Every project is quoted on scope, not headcount.
Real-world engagements this covers
A typical United States brief
A Series A SaaS team in New York adding a React Native companion app to their web product — Stripe billing, SSO, push notifications, and App Store review handled end to end.
Classification and scoring in production
Churn prediction, content moderation, lead scoring — models deployed behind an API with monitoring, not stranded in a notebook.
Retrieval and ranking quality
Search that surfaces the right result first. I build labelled eval sets and measure hit-rate and MRR so improvements are provable — the same harness that ships in my open-source RAG starter.
LLM vs classical model decision
Sometimes a fine-tuned classifier beats an LLM call at 1% of the cost. I benchmark both against your data and ship the one the numbers support.
What to look for in a machine learning engineer
- →Production deployment stories — a model isn't done until it's monitored
- →Evaluation discipline: labelled data, baselines, honest metrics
- →Data engineering competence: the pipeline is 80% of the work
- →Cost pragmatism: knowing when an LLM API beats training anything
Why hire remotely for United States
US timezone fit
Live overlap through 12:30 PM Eastern / 9:30 AM Pacific every workday — standups and demos happen in your morning, and finished work lands overnight.
Built for United States's market
United States is home to the world's largest SaaS and startup market, from YC-backed seed startups to enterprise product teams. I build the mobile, web, and AI products these teams ship — from MVP to production scale.
Proven delivery
Guest Engineer at Expensify, Top Rated on Upwork ($100K+ earned), 20+ App Store launches, and 7+ years of production work.
What you get
- ✓Machine Learning Engineer engagement scoped for United States stakeholders (US Eastern, Central, and Pacific overlap)
- ✓Production TypeScript / Python codebase with documentation
- ✓Weekly demos and milestone-based delivery, billed in USD or USD
- ✓Security-conscious APIs (auth, rate limits, observability)
- ✓Enterprise-ready deployment and handoff
How an engagement starts
- 1.Send a short brief — goals, platforms, timeline — to dhairyasenjaliya@gmail.com or through the contact form.
- 2.Free 30-minute scoping call in your working hours. You leave with an honest read on scope and cost, whether or not we work together.
- 3.A written proposal with fixed-scope milestones — you approve each milestone before it's built, and you can stop at any boundary.
- 4.Weekly demos of working software, async updates between them, and delivery aligned to US Eastern, Central, and Pacific overlap.
Proof, not promises
FAQ
How much does it cost to hire machine learning engineer in United States?
Senior React Native engineers in the US typically earn $130K–$200K+ base — Glassdoor's 2026 median sits near $129K, with San Francisco and New York well above it. US product agencies commonly quote $100–250/hr, with project minimums of $25K–50K. Typical remote machine learning engineer projects with me run $20K–$120K depending on scope, billed in USD or USD on fixed-scope milestones — you approve each milestone before it's built.
Do you work with clients in United States?
Yes. I work remotely with United States founders, product teams, and agencies — from San Francisco, New York, and Austin to fully distributed teams. English-first communication, contracts via Upwork or a direct SOW.
How does the timezone difference work with United States?
Live overlap through 12:30 PM Eastern / 9:30 AM Pacific every workday — standups and demos happen in your morning, and finished work lands overnight. Weekly demos are scheduled in your hours, and async updates keep the thread moving between them.
How do contracts and invoicing work for US companies?
You engage an independent contractor — W-8BEN on file, USD invoices via Upwork or direct wire, no payroll, benefits, or EOR setup. Payment terms are milestone-based — no large upfront commitments.
Who owns the code and IP?
You do — completely. Work happens in your repositories where possible, IP assignment is written into the SOW, and there is no lock-in: everything is documented so any developer can take over.
Can you ship mobile, web, and AI together?
Yes. React Native + Next.js + Python (FastAPI) + RAG/AI agents under one senior owner — ideal when your United States team needs to ship mobile, web, and AI without coordinating multiple vendors.
What happens after launch?
Most clients keep a monthly care retainer: dependency updates, store submissions, monitoring, and a priority line for fixes and small features. You can also hand off entirely — the documentation is written for that.
How do we get started?
Book a free 30-minute scoping call on this site, hire through Upwork, or email dhairyasenjaliya@gmail.com with your brief and US timeline.
More hires in United States
Sources & further reading
Book a call — machine learning engineer in United States
30-minute scoping call · Clear milestones · Senior engineer ownership