What is the salary for ML Engineer — Knowledge Graph at BenevolentAI?

Listed range: $140k – $195k / year (Full-time). Packages often include PTO, remote options, and equity depending on the company.

Where is the ML Engineer — Knowledge Graph role based?

New York, NY, New York (New York). Work mode: Hybrid.

How do I apply to BenevolentAI?

Create a free Ganloss candidate account, then apply in one click. Job reference: EXP-2026-0006. Process: Recruiter screen (30 min) → Technical interview → Team conversation → Offer.

Is BenevolentAI hiring other AI roles?

BenevolentAI (Biotech AI) hires across LLM, ML, data, and AI product. See all openings on the Ganloss company page.

ML Engineer — Knowledge Graph

BenevolentAI· New York, NY· Ref. EXP-2026-0006 4.3 (340 reviews)

Easy applyFull-timeHybrid

View without an account · free sign-in only to apply

Salary: $140k – $195k / year
Type: Full-time
Location: New York, NY · New York (New York) · Hybrid
Valid through: 11/2/2026

Additional details

Posted: Posted 2 days ago
Applications: 14; on Ganloss
Experience: Mid · 3+ years
Education: BS/MS CS, ML, or equivalent experience
Region: New York
Team: BenevolentAI — AI team
Company size: 200-500
Founded: 2013

Job description

BenevolentAI is hiring a ML Engineer — Knowledge Graph (Full-time) hybrid. This machine learning engineer role is part of the AI hiring market in New York (New York). Benevolent AI careers: ML engineer linking biomedical literature, graphs, and predictive models for drug discovery teams. Listed compensation: $140k – $195k / year. Stack: Knowledge graph, NLP, Python, Biotech.

Machine Learning Engineer profiles are in high demand in New York: New York combines fintech, media, and enterprise AI with strong demand for applied ML, NLP, and MLOps at banks, ad tech, and product companies.…

The team

BenevolentAI — AI team

Responsibilities

Deliver production ML/LLM features with clear evals and monitoring
Collaborate with product, design, and infra on roadmap priorities
Document architecture decisions and mentor junior engineers where relevant

Requirements

3+ years shipping ML, LLM, or data systems in production
Strong Python or TypeScript and communication skills
Comfort with evals, observability, and responsible AI practices

Tech stack

Knowledge graphNLPPythonBiotech

Benefits

Health, dental, vision

401(k) match

Equity

Learning budget

Flexible PTO

Hiring process

1Recruiter screen (30 min)
2Technical interview
3Team conversation
4Offer

Experience: Mid · 3+ years · Education: BS/MS CS, ML, or equivalent experience

Salary guide — Machine Learning Engineer in New York →

Go further

Prepare your application with our AI career guides — role sheets, resume, interview, and salary benchmarks.

FAQ — ML Engineer — Knowledge Graph

What is the salary for ML Engineer — Knowledge Graph at BenevolentAI?: Listed range: $140k – $195k / year (Full-time). Packages often include PTO, remote options, and equity depending on the company.
Where is the ML Engineer — Knowledge Graph role based?: New York, NY, New York (New York). Work mode: Hybrid.
How do I apply to BenevolentAI?: Create a free Ganloss candidate account, then apply in one click. Job reference: EXP-2026-0006. Process: Recruiter screen (30 min) → Technical interview → Team conversation → Offer.
Is BenevolentAI hiring other AI roles?: BenevolentAI (Biotech AI) hires across LLM, ML, data, and AI product. See all openings on the Ganloss company page.

Apply in one click

Typical reply within 48h

Your profile is sent directly to BenevolentAI's hiring team.

Apply to this job

Create a free candidate account (30 sec) to send your profile to BenevolentAI. The job page stays public without signing up.