Time since we first saw it
Day 44
Similar jobs usually come down between day 6 and day 69.
From 4,301 similar postings that came down. Coming down is not always a hire.
Product-Focused Data Scientist (LLM Products)
Reads like a ML Engineer role: putting models into production.
Remote or NYC
Live, first seen by us 44 days ago- Pay
$160,000–210,000/year — pay source
We are a remote-first company with an office in NYC and regular team meetups. We primarily work East Coast hours. The salary range for this position is $160,000 - $210,000 annually, commensurate with experience. We offer medical, dental, vision, 401k match, 20 weeks paid parental leave, fertility and family-building support through Maven Clinic, and unlimited PTO.
Read the full posting- Work setting
Remote — work setting source
Listed location: Remote or NYC
Read the full posting- Employment
- Not stated
Before you apply
- Work authorization
- Must already have the right to work in the US
Candidates must be authorized to work lawfully in the United States
What you’ll work on
Full postingLearn how political strategists think and where AI can improve their work
Translate strategist needs into product decisions and human-agent workflows
Design evaluations and LLM-as-judge systems for accuracy and groundedness
Prototype ideas quickly with coding agents before committing to them
Explain findings and tradeoffs to technical and nontechnical audiences
From the employer’s posting
Spend time with political strategists to understand how they think and what AI can do to improve their work.
Translate that work into product decisions: how to structure workflows that involve humans and agents working together.
Design evaluations and LLM-as-judge systems that tell us whether an LLM-powered feature is accurate, well-grounded, and useful.
Prototype quickly, using coding agents to test ideas before they become product commitments.
Communicate findings and tradeoffs clearly to both technical and nontechnical audiences, including in client-facing settings.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 20, 202644 days ago
- Recorded sightings
- 27
- Last seen by us
- Nov 3, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Blue Rose Research is hiring
4 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
Where the posting names them
- Has 5+ years of experience as a data scientist or applied statistician, with lots of exposure to shipping features or products, not just producing analyses. - Is proficient in Python, SQL, and standard statistical/ML tooling, and comfortable with the mess of real-world data. - Has hands-on experience evaluating or building on top of LLMs: designing eval sets, building LLM-as-judge pipelines, and working with embeddings.
Your next step
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
About us:
Blue Rose Research builds data and AI tools that help Democrats win elections and advance progressive causes. We forecast races, test ads at scale, and use AI to track what's breaking in the news, then help campaigns respond fast with messages that actually move voters. Our work has guided how hundreds of millions of dollars are spent by the country's top campaigns and progressive organizations. We're a small, mission-driven team of engineers, data scientists, and political strategists who build fast, experiment boldly, and care deeply about using technology for good.
Product-Focused Data Scientist (LLM Products)
The 2028 cycle starts the day after the midterms, and a wide-open Democratic presidential primary will begin almost immediately. With a crowded field and a fragmented media environment, campaigns will need to understand what's reaching and persuading voters faster than ever, and our tools will be at the center of that work from the first days of the primary through the general election.
We're hiring a product-focused data scientist to help build the LLM-powered research and analysis tools behind that effort. You'll co-evolve the product experience along with the models that power it, working with political strategists to turn new AI capabilities into tools that are accurate, well-grounded, and useful. You'll be joining at the start of the cycle, with time to build systems that are ready before the pressure peaks rather than scrambling to catch up.
You will:
- Spend time with political strategists to understand how they think and what AI can do to improve their work..
- Translate that work into product decisions: how to structure workflows that involve humans and agents working together.
- Help set the bar for rigor on what “good” looks like for an AI system, while staying pragmatic about what a real deadline and a real user actually need.
- Design evaluations and LLM-as-judge systems that tell us whether an LLM-powered feature is accurate, well-grounded, and useful.
- Prototype quickly, using coding agents to test ideas before they become product commitments.
- Communicate findings and tradeoffs clearly to both technical and nontechnical audiences, including in client-facing settings.
Our ideal candidate likely:
- Has 5+ years of experience as a data scientist or applied statistician, with lots of exposure to shipping features or products, not just producing analyses.
- Is proficient in Python, SQL, and standard statistical/ML tooling, and comfortable with the mess of real-world data.
- Has hands-on experience evaluating or building on top of LLMs: designing eval sets, building LLM-as-judge pipelines, and working with embeddings.
- Has good product instincts. Cares deeply about how the end user is going to interact with the model through the product.
- Communicates clearly in writing and in conversation with engineers, product managers, and non-technical stakeholders alike.
- Is energized by ambiguous problems — translating “help win elections” into a model, a metric, or a product decision, without a clean playbook to follow.
- Is motivated by Blue Rose Research’s mission and interested in learning the progressive political ecosystem. Prior political or civic-tech experience is welcome but not required.
Join us!
We are a remote-first company with an office in NYC and regular team meetups. We primarily work East Coast hours.
The salary range for this position is $160,000 - $210,000 annually, commensurate with experience.
We offer medical, dental, vision, 401k match, 20 weeks paid parental leave, fertility and family-building support through Maven Clinic, and unlimited PTO.
You don't need to meet every qualification to apply. We welcome applicants from all backgrounds.
Candidates must be authorized to work lawfully in the United States.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
We are a remote-first company with an office in NYC and regular team meetups. We primarily work East Coast hours. The salary range for this position is $160,000 - $210,000 annually, commensurate with experience. We offer medical, dental, vision, 401k match, 20 weeks paid parental leave, fertility and family-building support through Maven Clinic, and unlimited PTO.
- Location & working pattern
Remote or NYC
Join us! We are a remote-first company with an office in NYC and regular team meetups. We primarily work East Coast hours. The salary range for this position is $160,000 - $210,000 annually, commensurate with experience.
- Work authorization
You don't need to meet every qualification to apply. We welcome applicants from all backgrounds. Candidates must be authorized to work lawfully in the United States.