Senior Machine Learning Engineer: ML Recall

Reposted 6 Days Ago
26 Locations
Remote
80K-120K Annually
Senior level
Artificial Intelligence • Software • Generative AI
The Role
Build and deploy production ML systems for large-scale ecommerce search and recommendations using text, image, and multimodal approaches. Tune and integrate LLMs and transformer models, develop end-to-end visual solutions, improve business KPIs through experimentation, and collaborate across teams to productize and scale ML capabilities.
Summary Generated by Built In
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

  • 🛋️ 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

  • 👪 Maternity & Paternity leave for qualified employees

  • 🧠 Work with smart people who will help you grow and make a meaningful impact

  • 💵 Base salary: $80k–$120k USD, depending on knowledge, skills, experience, and interview results

  • 📈 Stock options - offered in addition to the base salary

  • 🎉 Regular team offsites to connect and collaborate

Diversity, Equity, and Inclusion at Constructor

At Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group.

Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications.

How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice. After that period your data will be deleted or anonymized.

Skills Required

  • 3+ years of professional experience in applied machine learning
  • Excellent NLP knowledge (especially transformer-based approaches)
  • Comprehensive knowledge of classical machine learning
  • Extensive Python knowledge
  • Experience with any DL framework (we're using torch)
  • Experience with any SQL dialect (we're using SparkSQL, MySQL and a couple more dialects)
  • Delivered production ML systems
  • Proficiency with big data stack for end-to-end ML product development (we're using Pyspark for most of our pipelines)
  • Able to translate intuition into data-driven hypotheses that result in engineering solutions
  • Experience designing, conducting, and analyzing A/B tests
  • Experience with Rust (or C/C++)
  • Experience with a public cloud like AWS, Azure, or GCP
  • Strong knowledge of data structures, algorithms and their trade-off
  • Ability to explain difficult concepts; empathy and teamwork
  • Experience working on performance optimization, improving result quality and code performance
Am I A Good Fit?
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The Company
HQ: San Francisco, CA
160 Employees
Year Founded: 2015

What We Do

​​Constructor is the only AI product discovery platform designed explicitly for ecommerce retailers. Unlike other product search and discovery platforms, machine learning is in Constructor’s DNA, bringing dynamic personalization to the customer experience. Constructor's cloud-based solutions use natural language processing, machine learning, and collaborative personalization to deliver powerful user experiences across all facets of product discovery—from search to browse, recommendations, collections, and autosuggest. We optimize revenue before relevance. This has allowed us to generate consistent $10M+ lifts for our customers, which include some of the biggest brands in retail like Sephora, Backcountry, Bonobos, Serena & Lily, Target Australia, Birkenstock, and more. Constructor is a U.S. based company that was founded in 2015 by Eli Finkelshteyn and Dan McCormick.

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