Constructor
Senior Machine Learning Engineer: ML Recall
Remote work allowed only within certain countries or regions.
Europe
Employer listed it 4 months ago · Added yesterday
Been open since 4 months ago. Long-running listings are sometimes left up after the role is filled.
Salary
$80,000–$120,000
Location
Europe
Timezone
CET ±2
Contract
Full-time
Experience
Senior
Category
Data
Stated by the employer in the job description
Remote flexibility
Region Restricted
Remote work is allowed, but only for candidates based in Europe.
What the employer says
- Source listing states candidate location: "Remote - EMEA, Remote"
What Nomaders makes of it
- Applications outside the listed area are usually rejected
- Timezone overlap with the listed area is often expected
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.
About the role
About Us
Launched in 2019, Constructor is an AI-first ecommerce search and discovery platform that helps shoppers find the right products at the right time and enables leading global e-commerce brands to drive meaningful revenue and conversion gains.
As a member of the ML Recall team, you will improve the e-commerce experience for hundreds of millions of users across the world by building the retrieval layer of our search engine.
The mission is to make sure the product a shopper looks for is always among the results - for any query, in any language, in a few milliseconds.
About the Job
Your primary focus will be search retrieval and visual solutions:
Search Recall . A modern retrieval stack with dense and sparse models, plus query understanding. Latency is a strict requirement, so quality vs speed tradeoff is constant.
Visual and multimodal search . End-to-end visual solutions: image search, shop the look, visual recommendations.
Models as a platform . Our team owns a wide range of deep learning models, and other teams build on top of them.
What makes this interesting
Multi-domain, multi-language, at scale - 40+ languages, 20+ domains. The models need to generalize across all of them - without per-customer rules or overrides.
Real room for R&D . You will experiment with new architectures and approaches, A/B test them on live traffic, and deliver measurable business value.
The measurement challenge . You can't measure what was not returned - a missed product leaves no trace in the logs, and the query looks like it worked. Building the ground truth to catch that is part of the modeling work.
Requirements
4+ years shipping production ML systems
Experience with search, information retrieval, or recommendation systems
Hands-on experience training, fine-tuning, and evaluating transformer models
Strong Python and PyTorch. Fluency in data orchestration tools (Spark, Airflow)
Experience owning a model end to end - from problem framing to rollout
Experience designing and running A/B tests to validate model impact
Excellent English communication skills
Benefits
🏝️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year
🌎 Fully remote team - choose where you live
Requirements
- ·4+ years shipping production ML systems
- ·Experience with search, information retrieval, or recommendation systems
- ·Hands-on experience training, fine-tuning, and evaluating transformer models
- ·Strong Python and PyTorch. Fluency in data orchestration tools (Spark, Airflow)
- ·Experience owning a model end to end - from problem framing to rollout
Benefits
- ·🏝️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year
- ·🌎 Fully remote team - choose where you live
- ·🛋️ Work from home stipend! We want you to have the resources you need to set up your home office
- ·💻 Apple laptops provided for new employees
- ·🧑🎓 Training and development budget for every employee, refreshed each year
How to apply
- 1Check the flexibility label above, region restricted, matches where you plan to live and work.
- 2Tailor your CV to the role at Constructor, mentioning your remote working experience and working hours (CET ±2).
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 1d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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