Applied AI Scientist
Quick facts
- Pay
- $170,000–$300,000 base
- Type
- Full-time
- Location
- San Francisco, CA
- Background
- Bachelor's degree
- Skills
- Python, SQL, Machine Learning
- Industry
- Manufacturing and Logistics — 62 open jobs
- Visa in listing
- H-1B, OPT
- Apply
- Free to apply — never pay anyone for a job offer or visa sponsorship
Job description
San Francisco, CA · On-site (5 days/week) · Full-time
Compensation: $170,000–$300,000 base
About the Company
Our client is a Series B company building purpose-built AI systems that forecast and optimize how physical products are manufactured, stored, and distributed around the world. Instead of layering a general-purpose model on top of existing tools, the team trains a custom frontier model for each customer and treats supply chain forecasting as a fundamental computer science problem. They are already live with multi-billion-dollar enterprises and high-growth businesses, backed by top-tier venture investors, and led by a founding team with prior successful exits and deep research backgrounds.
Founded 2024 · ~20 people · Industry: AI, B2B, Enterprise, Logistics, Manufacturing
The Role
Our client is hiring an Applied AI Scientist to join a brand-new Applied AI team being built out around its VP of Applied AI. This is a technical, customer-facing role for someone coming from data science, forward deployed engineering, or solutions architecture who is equally comfortable in a Jupyter notebook and in front of an enterprise stakeholder. You'd be the trusted technical partner to customers from the very first demo through full production deployment, with customer demand growing quickly enough that there is real room to shape how the team operates.
What you'll be doing
- Meeting with enterprise customers to understand their operational challenges and framing those problems clearly for technical and non-technical audiences alike
- Leading technical and value-focused demos, and building custom demos and prototypes that support sales and go-to-market efforts
- Working directly in customer data with Python and SQL to surface and demonstrate real business value
- Acting as the technical point person through evaluations, pilots, and implementations
- Supporting live customer deployments so each customer gets the full value of the platform
Tech stack: Python, SQL, Machine Learning, Data Science
Requirements
- Direct experience working with enterprise customers on deployments, pilots, demos, or messy operational data problems (retail or CPG settings are a strong plus)
- A track record of building custom demos and proofs-of-concept in code, primarily Python and SQL
- Roughly 3–8 years as a data scientist, forward deployed engineer, solutions architect, or similar
- Background at an enterprise ML/data platform company, an early-stage startup, or a top-tier consulting firm
- A bachelor's degree in a STEM or other quantitative field
- Experience in a selling or pre-sales motion for a product where you needed a genuine grounding in machine learning to be credible
- Ability to run demos that land with both engineers and business leaders
Nice to Haves
- A hands-on, builder's approach and real enthusiasm for picking up unfamiliar technologies and domains as the work requires
Why Join
- Work on real AI: custom frontier models trained per customer, not a wrapper around someone else's LLM
- Ground floor of a new team at a well-funded Series B: you'll help define the function as the company deploys with some of the world's largest supply chains
- Founders with prior exits and a team drawn from leading universities, big tech, and top data and analytics companies
- Competitive base plus health, dental, and vision coverage, 401(k), commuter benefits, and unlimited PTO
Details
- Location: San Francisco, CA
- Work policy: 5 days in-office
- Compensation: $170,000–$300,000 base; no equity component at this time
- Visa sponsorship: Open to visa transfers (e.g. OPT, H-1B transfers)
- Employment type: Full-time
Visa sponsorship record
No public sponsorship records foundWe didn't find H-1B, H-1B1, E-3 or green card (PERM) filings under the name David Joseph & Company in the Department of Labor and USCIS data. That doesn't mean the job can't be sponsored — the company may file under a different legal name, be new to sponsorship, or sponsor a visa that isn't in these datasets (for example H-2B or J-1).
Tip: ask the recruiter early, in writing, which visa they sponsor and whether they cover the legal and filing fees.
Which visas can work for this job
Occupation: Data Scientists (SOC 15-2051).
- Mentioned in the listing
H-1B, OPT
- H-1B cap-exempt employer
Regular cap-subject employer — a new H-1B needs to win the lottery in March (unless you already hold cap-counted H-1B status).
- TN (citizens of Canada and Mexico)
This kind of role may fit the USMCA profession “Mathematician / Statistician” — it depends on the actual duties. No lottery, no cap; you need the matching degree or license.
- E-3 (Australia) and H-1B1 (Chile, Singapore)
Same degree requirement as H-1B, but no lottery and a separate quota that is rarely filled.
- O-1 (extraordinary ability)
For candidates with awards, publications, press, a high salary or critical roles at distinguished organizations. No cap, no lottery; the employer files a petition.
- STEM OPT extension (F-1 students)
Requires an E-Verify employer. We didn't find this company in the E-Verify list — ask HR.
Salary vs prevailing wage
Level II (qualified)Data Scientists · San Francisco-Oakland-Fremont, CA. Annual prevailing wages set by the Department of Labor (OFLC).
| Level | Prevailing wage | H-1B lottery odds* |
|---|---|---|
| Level I | $110,386 | ~15% |
| Level II | $142,438 | ~31% |
| Level III | $174,512 | ~46% |
| Level IV | $206,565 | ~61% |
This job pays $170,000–$300,000 a year — that's Level II (qualified). In the wage-weighted H-1B lottery a Level II registration gets 2 entries; estimated selection chance about 31%.
* Odds are DHS projections for the FY2027 wage-weighted lottery (actual results vary by year and employer). Since the FY2027 cap season the H-1B lottery is weighted by wage level: Level I = 1 entry, II = 2, III = 3, IV = 4. The level is set by the offered wage against the prevailing wage for the occupation and worksite. Separately, a $100,000 fee for new H-1B petitions for workers outside the US was announced in 2025; as of September 2026 a federal court ruling keeps it unenforceable while appeals continue — check the current status.
Sources: U.S. Department of Labor OFLC disclosure data (H-1B/H-1B1/E-3 LCA, PERM), OFLC prevailing wage data, USCIS H-1B Employer Data Hub, E-Verify participating employers. Data loaded: LCA FY2024–FY2026, PERM, USCIS Data Hub, OFLC wages; updated 2026-10-03. Employers are matched by name, so records of companies with similar names can occasionally be mixed up. This is general information, not legal advice — talk to an immigration attorney about your case.