AI RESEARCH ENGINEER
About Salient Predictions
We help farmers, energy generators, and insurers make better decisions with exceptionally accurate 2-52 week weather forecasts. Our award-winning machine learning is grounded in decades of research at MIT/WHOI to produce actionable insights. As a seed-stage venture-backed startup, we are growing rapidly and looking for curious and motivated creators so the world can forecast further.
Job Responsibilities
As an ML team thought leader you will drive development and productization of Salient's core long-range weather forecasting capabilities, working closely with cross-functional teams to deliver high-impact solutions to customers:
● Lead ML architecture and technical design discussions
● Drive ML model lifecycle from research to production
● Balance technical excellence with business impact and delivery timelines
● Foster a collaborative team environment
Location
● Remote OK (US/Eastern working hours)
● Preference for US based in AK, CO, IL, MA, MN, MO, NJ, NH, NY, NC, OK, RI, TX, VA, WA
Job Requirements
Core Qualifications:
● A portfolio of real-world deep learning (e.g. diffusion) AI projects
● Experience with Python and at least 1 AI platform (e.g. PyTorch)
● US work authorization, if US-based
Additional Qualifications:
● Track record of successfully delivering commercial ML-based products
● Familiarity with our domain-specific tools:
● Geospatial data (e.g. NetCDF, GeoTIFF, GeoJSON, PostGIS)
● Earth science (e.g. xarray, Dask)
● Cloud platforms (e.g. GCP, AWS, Azure)
● Experience with atmosphere/ocean/climate data and methods
● Knowledge of source control, issue tracking, testing/CI, orchestration
● Previous experience with startups, agile/scrum, software teamwork
Benefits
● Health and dental insurance
● 401(k) with match
● Paid parental leave
● Unlimited vacation and flexible working hours
● Remote-first culture with emphasis on work-life balance
● Professional development and conference attendance budget
● Mentorship opportunities
Hiring Process
At Salient, our no-surprises culture includes recruiting. We aim to create a delightful candidate experience so you are always fully informed and in control:
● Introduction - hiring manager chat (30 min)
● Interview - meet the team, domain skills, coding, teamwork & values (3.5 hours)
● Decision - rapid response & offer
Company Values
● We are customer-focused. We care about our customers - how they succeed individually and as organizations, how they get the most value out of our product, how they experience Salient. We do everything we can to make working with us a positive experience.
● We are self-motivated. We take initiative. We are doers who take pride in getting things done, correctly. We do not compromise on performance.
● We learn constantly. We listen to our customers and each other in service of continuous improvement. A sense of curiosity, honesty, and a beginner’s mindset guide us as we solve the incredibly complex and important climate challenge we’ve embraced.
● We collaborate to win. We want to win with and for our people and our customers. Our outcomes-oriented team is more than the sum of its parts.
Equal Opportunity
Salient Predictions is committed to building an inclusive environment where diverse perspectives are valued. We actively encourage applications from candidates of all backgrounds, particularly those from historically underrepresented groups in tech. We believe that the most innovative solutions come from teams that reflect a diversity of thought, experience, and identity.