Coders Connect
Machine Learning Research Engineer
Base pay range: $200,000.00/yr - $350,000.00/yr
We’re partnering with a frontier AI startup
We’re working with an early‑stage AI company that’s redefining how models learn to understand
subjective quality , from writing tone and design aesthetics to emotional resonance and creative expression.
They’re collaborating with leading AI labs and building new methods that help models reason about creativity, taste, and quality. The founding team is small, highly technical, and deeply curious — building at the intersection of
research, product, and creativity .
The Role As a
Machine Learning Research Engineer , you’ll own end‑to‑end research cycles — designing, running, and analyzing post‑training experiments that help models evaluate style and subjective quality. You’ll collaborate directly with AI labs and creative experts, and have the opportunity to publish your work.
What You’ll Do:
Train
reward models, classifiers, and verifiers
across creative domains (writing, design, visual style)
Develop
benchmarks and evaluation methods
for subjective tasks
Run
post‑training (RLHF/DPO)
experiments on open‑source and proprietary models
Collaborate with
AI labs
and creative experts on pilots and research projects
Publish
findings through blogs and whitepapers
What We’re Looking For:
2–6+ years
in post‑training, ML research, or ML engineering
Strong experience with
Python, PyTorch, LLMs , and
multimodal models
Proven ability to run fast, iterative experiments from data to evaluation
Curiosity for
subjective AI
— creativity, tone, and aesthetics
Low‑ego, collaborative
mindset; thrives in a small, in‑person environment
Bonus:
Experience working with post‑training data or data vendors (Scale, Labelbox, Snorkel, etc.)
Personal interest in creative fields (design, art, writing, or similar)
Why Join
Build at the
edge of AI and creativity
Collaborate with
frontier research labs
Work closely with an inspiring founding team in
Jackson Square, San Francisco
Competitive salary and meaningful early‑stage equity
Compensation $200K–$350K + 0.25–1.5% equity
Interview Process We’re proud to partner with a founder who values creativity, collaboration, and curiosity above ego.
Seniority Level
Mid‑Senior level
Employment Type
Full‑time
Job Function
Research and Consulting
Industries
Information Services
IT Services
IT Consulting
#J-18808-Ljbffr
We’re partnering with a frontier AI startup
We’re working with an early‑stage AI company that’s redefining how models learn to understand
subjective quality , from writing tone and design aesthetics to emotional resonance and creative expression.
They’re collaborating with leading AI labs and building new methods that help models reason about creativity, taste, and quality. The founding team is small, highly technical, and deeply curious — building at the intersection of
research, product, and creativity .
The Role As a
Machine Learning Research Engineer , you’ll own end‑to‑end research cycles — designing, running, and analyzing post‑training experiments that help models evaluate style and subjective quality. You’ll collaborate directly with AI labs and creative experts, and have the opportunity to publish your work.
What You’ll Do:
Train
reward models, classifiers, and verifiers
across creative domains (writing, design, visual style)
Develop
benchmarks and evaluation methods
for subjective tasks
Run
post‑training (RLHF/DPO)
experiments on open‑source and proprietary models
Collaborate with
AI labs
and creative experts on pilots and research projects
Publish
findings through blogs and whitepapers
What We’re Looking For:
2–6+ years
in post‑training, ML research, or ML engineering
Strong experience with
Python, PyTorch, LLMs , and
multimodal models
Proven ability to run fast, iterative experiments from data to evaluation
Curiosity for
subjective AI
— creativity, tone, and aesthetics
Low‑ego, collaborative
mindset; thrives in a small, in‑person environment
Bonus:
Experience working with post‑training data or data vendors (Scale, Labelbox, Snorkel, etc.)
Personal interest in creative fields (design, art, writing, or similar)
Why Join
Build at the
edge of AI and creativity
Collaborate with
frontier research labs
Work closely with an inspiring founding team in
Jackson Square, San Francisco
Competitive salary and meaningful early‑stage equity
Compensation $200K–$350K + 0.25–1.5% equity
Interview Process We’re proud to partner with a founder who values creativity, collaboration, and curiosity above ego.
Seniority Level
Mid‑Senior level
Employment Type
Full‑time
Job Function
Research and Consulting
Industries
Information Services
IT Services
IT Consulting
#J-18808-Ljbffr