Constructor
Senior Machine Learning Engineer: Search Quality
Remote. The employer does not say where candidates may be based.
Location not stated
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 to $120,000
Location
Location not stated
Timezone
Not stated
Contract
Full-time
Experience
Senior
Category
Data
Stated by the employer in the job description
Remote flexibility
Undisclosed
The listing is advertised as remote but does not state which countries or regions candidates may work from.
Why this role is Undisclosed
We only label a role Work from anywhere, Region restricted or Work from home when the employer's own wording says so. We checked this advert under our current rules and found no country or region eligibility requirement in it. We don't guess, so it stays Undisclosed until the employer publishes enough location information. Here is exactly what the advert left out.
- Countries you can work from: Not stated. The advert only gives "Remote", which names no country you must live in.
- Whether the work is remote: Never mentioned. The role reached us through a remote job board, but the advert itself doesn't say the work is remote.
- Working hours: Not stated. No timezone overlap or set hours are mentioned, so assume nothing either way.
Worth a look all the same. Missing wording is usually a rushed job posting rather than a closed door, so ask where you can be based in your first message, before you write a tailored application.
What the employer says
- Source listing states candidate location: "Remote"
What Nomaders makes of it
- No residency or region requirement found in the job description
- Check with the employer before assuming you can work from abroad
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 Senior Machine Learning Engineer in the Search Quality team, you will improve the e-commerce experience for hundreds of millions of users across the world by building the systems that power relevance for global retailers - from fashion and grocery to electronics and hardware.
The mission is to measure search quality, push it higher, and catch degradations before the user does. You will achieve this through a blend of fine-tuned LLMs for relevance judgment, real-time models, and deep offline analysis of query logs.
About the Job
Your primary focus will be relevance evaluation and quality improvements:
LLM-based evaluation. We fine-tune our own models to assess relevance. This involves teaching the model to understand query intent, represent items from messy catalog data, and align model judgments with real user behavior.
Real-time quality in production. Reranking, filtering, signal computation. Latency is a strict requirement, so quality vs speed tradeoff is constant.
Automated quality monitoring and agentic insights. Pipelines to detect degradations and find underperforming patterns. Agent-based systems that generate actionable recommendations for the product data and search configurations.
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.
No universal ground truth. A grocery retailer and a fashion retailer may have different perceptions on what "relevant" means.
Efficiency at scale. Optimizing and scaling LLM inference across our entire customer base.
Requirements
4+ years shipping production ML systems
Experience with search, information retrieval, or recommendation systems
Hands-on experience with fine-tuning, evaluation frameworks, and scaling LLM deployments
Strong Python and PyTorch. Fluency in SQL and data orchestration tools (Spark, Airflow)
Experience designing and running A/B tests to validate model impact
Excellent English communication skills
Experience collaborating in cross-functional teams (ranking, product, data engineering)
Benefits
🧠 Work with smart and empathetic people who will help you grow and make a meaningful impact.
🎉 Regular team offsite events to connect and collaborate.
Requirements
- ·4+ years shipping production ML systems
- ·Experience with search, information retrieval, or recommendation systems
- ·Hands-on experience with fine-tuning, evaluation frameworks, and scaling LLM deployments
- ·Strong Python and PyTorch. Fluency in SQL and data orchestration tools (Spark, Airflow)
- ·Experience designing and running A/B tests to validate model impact
Benefits
- ·🧠 Work with smart and empathetic people who will help you grow and make a meaningful impact.
- ·🎉 Regular team offsite events to connect and collaborate.
- ·🌎 Fully remote team - choose where you live.
- ·🏝️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year.
- ·🛋️ Work from home stipend! We want you to have the resources you need to set up your home office.
How to apply
- 1Check the flexibility label above, undisclosed, matches where you plan to live and work.
- 2Tailor your CV to the role at Constructor, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 1d ago. Last checked 23 Sept. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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