Constructor
Senior Machine Learning Engineer (ML Recall)
3 нед. назад
80k–120k USD / годВеликобританияSeniorRemoteC1
pythonpytorchsparkairflowtransformer modelsa/b testingmachine learning
Senior Machine Learning Engineer role at Constructor focused on improving ecommerce search retrieval with AI, supporting a remote international team and offering a competitive salary and benefits.
About the company
- 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.
- Constructor — инструмент AI-персонализации результатов поиска на e-com сайтах для роста конверсий в покупку и выручки.
- Среди клиентов — Sephora, American Eagle, Birkenstock и др.
- Размер команды — 200-500 | Инвестиции — $86M
- 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.
About the product
- 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.
- Your primary focus will be search retrieval and visual solutions: Search Recall with dense and sparse models, plus query understanding.
- Visual and multimodal search solutions: image search, shop the look, visual recommendations.
- Models as a platform - ownership of a wide range of deep learning models that other teams build on top of.
- Multi-domain, multi-language at scale - 40+ languages, 20+ domains with generalized models without per-customer overrides.
- Real room for R&D with new architectures, A/B testing on live traffic, delivering measurable business value.
- The measurement challenge of capturing missed products which leave no trace in logs.
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 skills
- Fluency in data orchestration tools such as Spark and 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
Conditions
- Unlimited vacation time, encouraged to take at least 3 weeks per year
- Fully remote team – choose where you live
- Work from home stipend to set up home office
- Apple laptops provided for new employees
- Training and development budget refreshed yearly
- Maternity & paternity leave for qualified employees
- Base salary: $80k–$120k USD depending on skills, experience and interview results
- Stock options offered in addition to base salary
- Regular team offsites to connect and collaborate
Other
- Encouragement to apply even if not all qualifications are met
- Data handling and privacy policy regarding application data