Senior Machine Learning Engineer (m/f/d)

Company:
Location: 10247 Berlin

*** Mention DataYoshi when applying ***

Based in Berlin and Chicago, we at Fit Analytics - a Snap company - are working together to tackle a single problem: making it easy for online shoppers to find the right clothes size. We help some of the world’s largest clothing brands solve sizing issues, boost conversions and slash returns.

In March 2021, we became part of the Snap family. Snap is a leading camera company. Together with Snap, we plan to define and shape the future of shopping by covering the gamut of augmented reality (AR), virtual try-on and size recommendations.

OUR VISION
is a world with zero returns in apparel (and footwear) e-commerce resulting from a truly personalized, worry-free shopping experience.
OUR MISSION is to use the power of machine learning to help fashion shoppers buy with confidence and eliminate the need for returns.

Fit Analytics — the world’s leading size advisor solution for online clothes shopping — is seeking a Senior Machine Learning Engineer (m/f/d) to help guide the Style Solutions team. As a member of the team, your main focus would be to design and implement machine learning models to ensure a successful product rollout as well as provide the team with guidance. If you are passionate about data, mentorship and building functional products, we want to hear from you!

What The Role as a Senior Machine Learning Engineer Involves

    • You build a scalable and sustainable SaaS product that will support Fit Analytics growth efforts
    • You define the approach and the architecture of the data solutions for the Data Scientists to build
    • You collaborate with the team to design, build up, train and validate scalable machine learning models
    • You guide and mentor the Data Scientists to help them grow in their roles
    • You draw conclusions from data and present the deliverables and solutions in an actionable way
    • You provide valuable and constructive contribution to the team discussions, willing to share your knowledge and best practice

What We're Looking for in You

    • University degree in a technical or quantitative field such as, statistics, computer science, mathematics, econometrics
    • At least 5 years of experience of working in product-oriented cross-functional teams, ideally building tech products at scale
    • Experience in building and validating machine learning models, creating training and inference pipelines and workflows, deploying at scale
    • Proficiency in Python (TensorFlow) and SQL
    • Familiarity with computer vision and recommender systems is an advantage
    • Expertise with deploying and training models in a cloud-based environment is an advantage
    • Experience and interest in mentoring and providing guidance to other team members
    • Excellent verbal and written communication skills in English

Your Work Environment

    • You'll be part of a closely-knit team, with most to all team members currently (because of the pandemic) working fully remote
    • The Style Solutions team is focused on building a new and exciting product with a lot of decisions to be made
    • The team adopted the agile way of working and is following the standard SCRUM practices
    • We communicate via video conference (Google Meet) and Slack

What We Offer You

    • Hands-on experience building a product that will revolutionize the apparel & footwear market
    • Unlimited contract, market salary and equity in our parent company Snap Inc.
    • Daily breakfast and catered lunch plus regular team events (when in office)
    • Flexible working from home policy
At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.

By clicking the “APPLY FOR THIS JOB” button you expressly make the following representations and warranties and give your consents as described below:
Your personal data contained in your application will be collected by Fit Analytics GmbH (“Controller”), which is located at Voigtstrasse 3, 10247 Berlin, Germany and can be contacted per email at jobs@fitanalytics.com.
Fit Analytics collects your personal data for the purposes of managing Fit Analytics’ recruitment related activities. Consequently, Fit Analytics may use your personal data in relation to the evaluation and selection of applicants including for example setting up and conducting interviews and tests, evaluating and assessing the results thereto and as is otherwise needed in the recruitment processes including the final recruitment.
Your personal data will be shared with Lever, Inc., a cloud services provider located in the United States of America and engaged by the Controller to help manage its recruitment and hiring process on behalf of the Controller. Accordingly, if you are located outside of the United States, your personal data will be transferred to the United States once you submit it through this site.
Your personal data will be retained by the Controller as long as the Controller determines it is necessary to evaluate your application for employment. If no legal retention period exists, the data will be deleted as soon as storage is no longer required or the legitimate interest in storage of this data has lapsed. You may give consent that we keep your application for 6 months for future opportunities.

*** Mention DataYoshi when applying ***

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