Clera
More roles at CleraFounding ML Engineer, Computer Vision (Object Detection)
Remote role where the employee must remain based in a particular country.
Listed for United States
Source: the job board's country tag. The advert itself does not name United States.
Employer listed it 7 days ago · Added 4 days ago
First listed 7 days ago and still open.
Salary
$200k to $260k per year
Location
Listed for United States
Timezone
Not stated
Contract
Full-time
Experience
Mid
Category
Data
Stated by the employer in the job description
What the advert says
Quoted word for word from the employer's advert. Where it says nothing, we say so.
- Working hours
- Not mentioned in the advert
- Where you can work from
Hybrid role based in New York, New York.
- Contract
- Not mentioned in the advert
- Experience asked for
- Not mentioned in the advert
- Pay
Compensation & Benefits
Remote flexibility
Work from home
This is a remote role, but the employee must be based in United States. It is work from home rather than work from anywhere.
What the employer says
- Source listing states candidate location: "New York, Remote"
- Job description states: "based in New York"
What Nomaders makes of it
- Payroll and tax are likely handled in that country only
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
Before you apply
Experience: employer states
Written as a requirement
- “At least 5 years of applied computer vision experience, including production systems delivered at meaningful scale.”
Questions worth asking: Nomaders interpretation
- The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.
Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.
About the role
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.
Requirements
The employer hasn't listed requirements separately, they're described in the role summary above and on the original listing.
Benefits
- ·Base salary: $200,000 to $260,000 annually. Visa sponsorship is not available.
- ·Hybrid role based in New York, New York.
How to apply
- 1Check the flexibility label above, work from home, matches where you plan to live and work.
- 2Tailor your CV to the role at Clera, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 5d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
$200k to $260k per year · You'll be taken to the employer's careers page.