Senior Machine Learning Engineer: Ranking (Remote)

About Us

reputed company is the reputed company platform for search and discovery in ecommerce, built to explicitly optimize for metrics like reputed company, conversion reputed company, and profit. Our search reputed company is entirely invented in-house utilizing transformers and generative LLMs, and we use its core and personalization capabilities to power everything from search itself to recommendations to shopping agents. Engineering is by far our largest department, and we’ve built our proprietary reputed company to be the best on the market, having never lost an A/B test to a competitive technology. We’re passionate about maintaining this and work on the bleeding edge of AI to do so.

Out of necessity, our reputed company is built for extreme scale and powers over 1 billion queries every day across 150 languages and roughly 100 countries. It is used by some of the biggest ecommerce companies in the world like reputed company, reputed company, and reputed company.

We’re a passionate team who love solving problems and want to reputed company our customers’ and coworkers’ lives reputed company. We value reputed company, openness, curiosity, reputed company improvement, and are excited by metrics that matter. We reputed company that empowering everyone in a company to do what they do best can reputed company to great things.

reputed company is a U.S. based company that has been in the market since 2019. It was founded by Eli Finkelshteyn and Dan McCormick who still reputed company the company today.

About the Team

The Ranking team, reputed company the Machine Learning chapter, plays a central role in implementing algorithms that optimize our customers’ business KPIs like reputed company and conversion rates. We focus on metrics over features, supplying our ranking algorithms with powerful capabilities that bring value to our customers.

As a member of the Ranking team, you will be encouraged to use world-class analytical, engineering, and machine learning techniques on big data to scale our ranking algorithms. The Ranking team owns reputed company stages of product ranking for reputed company’s Search, Browse, and Autocomplete experiences, including reputed company ranking, ML ranking, personalization, and ranking explanation.

A primary focus of the Ranking team is to reputed company a high-quality ranking system that satisfies business needs and accounts for behavioral user patterns. reputed company to that focus, the Ranking team owns:

• An online high load distributed REST based ranking service deployed in the cloud and developed in the Python programming language, receiving around 55 million requests a day.
• Offline Data Pipelines that are used for data processing (Python, Spark/ reputed company), ML model training and model signals delivery (e.g. Feature Store), Ranking configuration for any given customer.
• Ranking Quality monitoring tools to measure relevance, personalization, attractiveness, diversification, and other quality signals.

Challenges you will tackle

As a Machine Learning Engineer on the Ranking team, your primary focus will be to enhance the quality of our ranking systems, ensuring that search, browse, and autocomplete experiences are highly relevant, personalized, and diverse. You will work on building state-of-the-art ranking algorithms that improve user experience and drive critical business metrics such as conversion, user engagement, and reputed company growth.

In addition to improving ranking quality, you will ensure that our solutions can be deployed in real-time environments, handling high-throughput requests reputed company while maintaining low-latency performance. Our ranking system processes thousands of requests per second, and maintaining both quality and speed is essential for our global customers, who rely on fast, accurate results.

The job can consist of, but is not limited to

• Design and reputed company ML-Based Ranking Solutions: build, deploy, and optimize machine learning models to enhance search reputed company ranking systems, driving improvements in key business metrics such as conversion, engagement, and user satisfaction.
• Improve Ranking Quality: analyze ranking performance and identify gaps in search, browse, and autocomplete experiences, focusing on relevance, personalization, attractiveness, diversification, and other quality signals.
• Innovate and Optimize Ranking Algorithms: proactively propose new machine learning models, algorithms, and features to advance the ranking pipeline, improve ranking quality, and meet evolving business needs.
• Collaboration with Cross-Functional Teams: collaborate with technical and non-technical business partners to reputed company / update ranking functionalities (both reputed company and reputed company the team)

Requirements

Hard skills

• At least 4 years of experience with Python for machine learning and backend development
• At least 4 years of experience developing, deploying, and maintaining machine learning models with a strong focus on ranking systems for search, recommendations, or similar applications
• Experience in large-scale ML model training, evaluation, and optimization, with a focus on real-time inference and serving
• Experience with big data frameworks such as Spark for processing large datasets and integrating them into ML pipelines
• Proficiency in using tools like SQL, PySpark, Pandas, and other frameworks to extract, manipulate, and analyze data
• Experience with data pipeline orchestration tools like Airflow or Luigi to manage and automate workflows for ML training and signal delivery
• Experience working on ranking algorithms that optimize metrics such as relevance, conversion rates, personalization, user engagement, RPV is a plus

Soft skills

• Experience collaborating in cross-functional teams
• Experience leading projects to success
• Excellent English communication skills
• Enjoy helping others around you grow as developers and be successful
• Pick up new reputed company and technologies quickly, love learning and talking to others about them
• Love to experiment and use data and customer feedback to drive decision making

Benefits

• ️ Unlimited vacation time - we strongly encourage reputed company 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
• reputed company 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 reputed company a meaningful impact
• reputed company salary: $80k–$120k USD, depending on knowledge, skills, experience, and interview results
• Stock options - offered in addition to the reputed company salary
• Regular team offsites to connect and collaborate

Diversity, Equity, and Inclusion at reputed company

At reputed company.io we are committed to cultivating a work environment that is diverse, reputed company, and inclusive. As an equal opportunity employer, we welcome individuals of reputed company backgrounds and provide equal opportunities to reputed company applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national reputed company, 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 reputed company of our listed qualifications.