Senior Software Engineer - Machine Learning Platform

Team:

The Machine Learning Platform team enables product teams to construct and operate their production machine learning services. The team does this by providing a platform that handles the needs of the product teams: production system integration, model training, model availability, health and monitoring infrastructure for model serving, and a streamlined model release process.

Our R&D team consists of over 100 people, 22 of them are based in the Kyiv R&D office. We are going to have 3 engineers in the Ukraine R&D team who will be part of our ML Platform team.

ML Platform Tech stack:

• Java 11
• Python 3
• GCP
• Apache Airflow
• BigTable
• Kafka
• Spark
• Dataproc
• Dataflow

Other Sift Products Tech stack - AWS, Athena, Snowflake, BigQuery, Ruby, RoR, FE: React.js.
We use Scrum and 2 weeks sprints.

Opportunities for you:

• Professional growth: quarterly Growth Cycles instead of performance review
• Experience: knowledge sharing through biweekly Tech Talks sessions. You will learn how to build projects that handle petabytes of data, have small latency and high fault tolerance.
• Business trips and the annual Sift Summit, in 2022 Summit takes place in California.
• Hybrid work approach: you can choose where you work better remotely or in the office.

What would make you a strong fit:

• 5+ years of professional software development experience or a degree in CS (or a related field) with 3+ years of experience.
• Experience building highly available low-latency systems using Java, Scala, or other object-oriented languages.
• Experience working with large datasets and data processing technologies for both stream and batch processing: Apache Spark, Apache Beam, MapReduce.
• Strong debugging, testing, tuning, and problem-solving skills.
• Strong communication & collaboration skills, and a belief that team output is more important than individual output.

Bonus points:

• Familiarity with practical challenges in ML systems such as feature extraction and definition, data validation, training, monitoring, and management of features and models.
• Practical knowledge of how to build end-to-end ML workflows.
• Experience with building an ML feature store for batch and real-time aggregation/serving.
• Knowledge of GCP or AWS cloud stack for web services and big data processing.

What you’ll do:

• Design and build tools and processes to make the release of new machine learning models fast, easy, safe, and minimally disruptive.
• Participate in architecture discussions to meet the requirement to serve hundreds of machine learning models at thousands of queries per second.
• Ensure that our systems can continue to scale rapidly while addressing rapidly evolving product team needs.
• Implement scalable, low-latency, high-throughput, fault-tolerant, extensible, and easily maintainable data processing pipelines for both batch and real-time systems.
• Motivate, listen and empathize, and help engineers and data scientists to excel.

A little about us:

Sift is the leading innovator in Digital Trust & Safety.  Hundreds of disruptive, forward-thinking companies like Zillow, and Twitter trust Sift to deliver outstanding customer experience while preventing fraud and abuse.

The Sift engine powers Digital Trust & Safety by helping companies stop fraud before it happens. But it’s not just another anti-fraud platform: Sift enables businesses to tailor experiences to each customer according to the risk they pose. That means fraudsters experience friction, but honest users do not. By drawing on insights from our global network of customers, Sift allows businesses to scale, win, and thrive in the digital era.

Benefits and Perks:

• A compensation package that consists of financial compensation, a biannual 5% bonus, and stock options
• Medical, dental, and vision coverage
• 50$ for sports and wellness
• Education reimbursement: books, education courses, conferences
• Flexible time off: we follow an unlimited vacation approach
• Tuned work schedule to Kyiv timezone despite US offices location: biweekly demo sessions are optional for our team and we watch them from recording.
• Mental Health Days: additional 4 day-offs
• English courses and social activities inside the company that allow improving your public speaking and language

Our interview:

We follow the same process for all teams, technical interview consists of 2 parts:

• 45 min technical phone interview with the engineering manager, 1 coding task Leetcode medium level like. 
• On-site interview: 4 sessions, 45 mins each, that cover coding, system design, experience, and soft skills.

During our sessions, you will have the opportunity to learn company culture, meet engineers from your team and discuss distributed system problems. You will have time for all interesting questions and get transparency regarding your future responsibilities and the project.

Sift is an equal opportunity employer. We make better decisions as a business when we can harness diversity in our experience, data, and background. Sift is working toward building a team that represents the worldwide customers that we serve, inclusive of people from all walks of life who can bring their full selves to work every day.

This document provides transparency around the way in which Sift handles personal data of job applicants: https://sift.com/recruitment-privacy