About the posting
“You will build production models that identify specific brands, models, editions, and variants, helping users make informed decisions with confidence.”
Read the full posting on Clera's site
Seen live Oct 24, 2026; first seen Oct 21, 2026.
Pay in context
This posting lists $200,000 to $260,000 a year, a midpoint of $230,000.
The midpoint is higher than 60 percent of software engineering postings in New York, NY that list pay.
New York has a pay transparency law: covered employers must include a pay range in a job posting. Which employers are covered depends on their size.
How long it has been open
Posted Oct 20, 2026, 4 days ago, and seen on Clera's careers page today.
At 4 days old, it is under the 72-day median.
Clera's postings we have seen close took a median of 0 days.
Clera at a glance
Clera has 222 open postings that we can see, 46 in software engineering; 68 percent list pay.
The application
Applying goes through Ashby.
Trailhead fills Greenhouse, Lever and Ashby forms on your computer; on the phone and on other systems it hands you your answers and your resume.
Seniority
The posting mentions 5+ years.
Remote
Fully remote; the employer may limit which states you can live in.
Similar jobs at similar pay
The software engineering market in New York, NY
1286 software engineering postings in New York, NY are open right now, from 325 employers.
Half of them have been open 72 days or less.
From Clera's posting
This is Clera's own text, as published on its job board. We last checked it on Oct 24, 2026. Apply on Clera's site. We remove a posting when the employer closes it.
ABOUT THE ROLE
As the founding machine learning engineer, you will set the technical direction for fine-grained visual item identification at an internet marketplace platform. You will build production models that identify specific brands, models, editions, and variants, helping users make informed decisions with confidence.
WHAT YOU'LL DO
- Design and own computer vision architecture, adapting foundation vision models to specialized catalog identification.
- Define category-level accuracy standards and develop calibrated confidence scoring so the product can communicate uncertainty.
- Build feedback loops that use model errors to guide labeling priorities in partnership with the labeling team.
- Balance broader category coverage against deeper accuracy in existing categories.
- Own the path from model research to production serving, including latency, cost, and reliability.
- Explain model capabilities and tradeoffs to technical and non-technical stakeholders.
WHAT WE'RE LOOKING FOR
- At least 5 years of applied computer vision experience, including production systems delivered at meaningful scale.
- Hands-on experience with fine-grained or instance-level recognition, distinguishing between visually similar items where near-misses are not sufficient.
- Production experience fine-tuning and deploying vision transformers or CNNs with PyTorch or TensorFlow.
- Experience adapting foundation vision models to specific use cases or catalogs.
- Ability to design and run evaluation frameworks that measure model improvements beyond training loss.
- Experience with calibrated confidence scoring and ownership of model serving decisions, including latency, cost, and reliability.
- Strong written and verbal communication, and comfort providing technical leadership on an open-ended problem.
COMPENSATION & BENEFITS
Base salary: $200,000 to $260,000 annually. Visa sponsorship is not available.
LOCATION
Hybrid role based in New York, New York.