---
title: 'Senior Machine Learning Engineer: ML Recall at Constructor'
canonical: 'https://feeny.ai/job/senior-machine-learning-engineer-ml-recall-constructor-emea-wty1vpdnvhw1'
type: 'job'
last_seen: '2026-09-18'
---

# Senior Machine Learning Engineer: ML Recall at Constructor

- **Company:** Constructor
- **Location:** EMEA
- **Compensation:** $80k–$120k
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-06-04
- **Last confirmed live:** 2026-09-18
- **Apply:** https://jobs.ashbyhq.com/constructor/351e841f-c45b-4486-963a-92a996b28ad3/application

**Skills:** Python, PyTorch, SQL, SparkSQL, MySQL, Pyspark, NLP, Transformers, Machine Learning, Deep Learning, A/B testing, Rust, C, C++, AWS, Azure, GCP, Data structures, Algorithms, Performance optimization

> Constructor seeks a Senior Machine Learning Engineer to build and optimize ML/DL models for search and discovery, focusing on recall, visual solutions, and technical platform integration. The role involves deploying robust systems, tuning LLMs, and collaborating with technical teams to improve business KPIs.

## Job description

## 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](http://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](https://constructor.com/recruitment-privacy-notice). After that period your data will be deleted or anonymized.

## About Constructor

## Core Business
- **Primary industry**: AI-powered ecommerce search and product discovery (SaaS)
- **Target customers**: B2B, enterprise ecommerce brands, retailers, distributors, and marketplaces
- **Mission/purpose**: To automate the rich complexity required for a modern search experience behind a simple, elegant SaaS solution, helping shoppers find what they want to buy using natural language and AI.

## Products & Services
- **AI Shopping Agent**: Natural language conversational agent that helps shoppers discover products and answer questions.
- **Search & Browse**: Personalized search and category browsing with reinforcement learning.
- **Recommendations**: Product recommendations for onsite, email, SMS, and mobile notifications.
- **Retail Media**: Sponsored products and ads that don’t sacrifice customer experience.
- **Merchandiser Controls**: Tools for merchants to manage rankings, promotions, and experiments.
- **Insights & Automations**: Dashboards, reports, and automated attribute enrichment using GenAI.
- **Answer Engine Assistants (Beta)**: Integration with ChatGPT and other answer engines for offsite discovery.
- **Merchant Intelligence Agent (Beta)**: Research and fix ranking issues.
- **Product Insights Agent**: Generate personalized product questions to help shoppers buy with confidence.
- **Collections**: Dynamic, curated product pages.
- **In-Store**: Extend online intelligence to physical stores.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private)
- **Key Metric**: $40.0M annual revenue (LinkedIn estimate); $86.1M total funding across 4 rounds
- **Notable Investors/Partners**: Not named in provided sources, but clients include Sephora, Under Armour, Petco, and many others.
- **Growth Signals**:
  - 336 employees (LinkedIn) / 375+ team members (company site), +48% YoY headcount growth
  - 400+ billion requests powered per year
  - 98.5% average client retention rate over the last three years
  - Named a Leader in Forrester Wave (Commerce Search & Product Discovery, Q3 2025), Gartner Magic Quadrant (Search & Product Discovery, 2025), and IDC MarketScape
  - Top rated on G2 Crowd and Gartner Peer Reviews (4.9 and 4.8 respectively)
  - 94% team member retention rate

## Competitive Advantages
- **AI-native from day one**: Built on clickstream data and advanced AI, not bolted onto legacy keyword search.
- **Reinforcement learning across touchpoints**: Every interaction (search, browse, agent) makes the system smarter.
- **API-first, headless, composable, platform-agnostic**: Easy integration with any tech stack.
- **Ecommerce-specific optimization**: Sole focus on commerce metrics (revenue, conversion, profit), consistently delivering $10M+ revenue lifts for customers.
- **Only vendor named a Leader by three independent analyst firms (Forrester, Gartner, IDC)**.

## Strategic Focus
- **AI agents and reasoning**: Expanding AI Shopping Agents, Answer Engine Assistants, and Merchant Intelligence Agents.
- **Offsite discovery**: Enabling discovery via email, SMS, and answer engines like ChatGPT.
- **In-store integration**: Extending online intelligence to physical retail.
- **Continued investment in personalization and automation** to reduce setup time (8 weeks or less).

## Why Work Here
- **Culture**: Remote-first, 100% remote – choose where you live. Collaborative, empathetic, and problem-solving environment. Rated top 5% on RepVue and a Will Reed Top 100 award recipient.
- **Benefits**:
  - Company pays 99% of medical, dental, and vision premiums for US team members.
  - Unlimited PTO and vacation time (minimum 3 mandatory weeks off per year).
  - Paid parental leave.
  - Yearly Remote Work Stipend + one-time $500 New Hire Setup Stipend.
  - Yearly Learning & Development $500 Stipend.
  - Stock options for every team member.
  - Company-issued Apple laptop.
- **Growth**: Fast-growing startup with opportunities to work on challenging AI/ML problems used by millions of shoppers. Mentorship, autonomy, and career development.
- **Diversity & Inclusion**: Committed to DEI with an internal ERG.
- **Team**: 94% retention rate; described as collaborative, brilliant people who enjoy solving hard problems.

## Sources
1. [Constructor Careers Page](https://constructor.com/about/careers)
2. [Constructor Main Website](https://constructor.com/)
3. [Constructor LinkedIn](https://www.linkedin.com/company/constructor-io)
4. [Constructor About Page](https://constructor.com/about)
5. [CB Insights Company Profile](https://www.cbinsights.com/company/constructorio) (used for funding and revenue data, though not directly cited in text – revenue from LinkedIn)

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