Machine Learning Engineer at SoFi
🇺🇸 United States › California › San Francisco (Posted Jan 13 2021)
About the company
SoFi is a digital personal finance company whose mission is to help its members achieve financial independence to realize their ambitions, whether that be to buy a house one day, start a family on their own terms or be debt free. We aim to be at the center of our members’ financial lives, and to help every member Get Their Money Right®. By joining SoFi, you’ll become part of a forward-thinking company that is transforming financial services by embracing technology to build innovative loan products, investment tools, and more. One of the fastest growing fintech companies, we’ve grown from 250 employees in 2015 to over 1,800 employees today, and are well on our way to reaching 1 million members. With offices across the US, we offer the excitement of a rapidly growing startup with the stability of a seasoned management team and some of the best talent around. As an employer, we strive to hire employees who are committed to both our company’s mission and our desire to build the best culture in the world. If you are driven, passionate about what you do, and excited about the SoFi mission, we would love to hear from you.
Staff Data Scientist (Machine Learning Engineer)
San Francisco, California
The Invest Data Science team is looking to add data scientists / ML engineers (combined roles), who will help shape Invest product development decisions and strategy through data-driven insights. This person will build and lead a team that will be working closely with the Business Units, product, and finance partners to transform SoFi Invest into the leading retail investment platform for anyone who wants to Get Their Money Right. Responsibilities include the end to end flows of data preparation, model building, and deploying into production. Success in this role hinges on your technical aptitude, quantitative abilities, and business acumen: you know how to plow through data with SQL/Python/R/Tableau, surface insights using math/statistics/ML techniques, integrate model predictions into production code, and measure the business impact using efficiency/conversion/profit metrics. You will need great understanding of the Invest business (not a prerequisite), and You will also grow your team and their skillset.
What you’ll do:
Work with amazing product and business managers to identify strategic opportunities, measure KPIs to craft compelling stories, make data-driven recommendations, and drive informed actions
Responsible for building out a large scale production machine learning pipeline consisting of offline workflows and online services
Mentor the professional development of each direct report through personal and performance management
Provide oversight: Work with engineers and researchers to understand how everything fits together and how best to deliver meaningful impact. Understands when ML is applicable and when it is not, and what are the risks
Own end-to-end Invest product analytics workflow including formulating success metrics, socializing them across the organization, and creating dashboards/reports
Craft, analyze, and present customer behavior metrics, such as funnel conversion, user churn, and cross-sell metrics. Work with product managers to design tests to improve these metrics
You stay focused on what’s best for the company – sometimes that requires being flexible, other times it requires being steadfast
What you’ll need:
2+ years of Management experience
Intellectual curiosity and aptitude to pick up new technical skills
High EQ with ability to influence outcomes and communicate technical content to general audiences
Have a background in machine learning, ideally deep learning techniques, prediction/binary classification. Experience with recommender systems is a plus
Comfortable with A/B experimentation best practices and defining key metrics
Hold your own technically with engineers on the team and give constructive feedback on projects and ideas
Support giving engineers the tools, confidence, and motivation they need to make decisions independently
Strong recruiter of engineering talent and comfortable closing applicants for your team and the business
Why you’ll love working here
Competitive salary packages and bonuses
Comprehensive medical, dental, vision and life insurance benefits
Generous vacation and holidays
Paid parental leave for eligible employees
401(k) and education on retirement planning
Tuition reimbursement on approved programs
Monthly contribution up to $200 to help you pay off your student loans
Great health & well-being benefits including: telehealth parental support, subsidized gym program
Employer paid lunch program (except for remote employees)
Fully stocked kitchen (snacks and drinks)
Other machine learning jobs that might be interesting
Senior AI Engineer - LinkedIn (March 2021)
Sunnyvale, California, United States
LinkedIn was built to help professionals achieve more in their careers, and everyday millions of people use our products to make connections, discover opportunities and gain insights. Our global reach means we get to make a direct impact on the world’s workfo...
Senior Machine Learning Engineer - Affirm (March 2021)
Remote US/Canada, 100% Remote
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.
Affirm’s Applied Machine Learning team solves problems critical to Affirm’s busine...
Data Science Lead - Fast (March 2021)
Worldwide, 100% Remote
San Francisco or Remote / Engineering - Data / Full-time
Fast are seeking a Lead Data Scientist to join our company, and help create an astounding, creative, and robust data team. Are you passionate about data? Committed to results, and want the best environme...
Machine Learning Engineer - Stripe (March 2021)
Remote US, 100% Remote
Machine Learning Engineer, Fraud Intelligence
Stripe builds the economic infrastructure for the internet. Building trust between banks, businesses & customers is a key ingredient for Stripe to be successful. Unfortunately, fraudsters & bad actors erode that t...
Senior Fullstack Engineer: Greenfield Machine Learning Initiatives - GitLab (March 2021)
Worldwide, 100% Remote
Those in Single Engineer Groups (SEG) at GitLab work in the engineering department to initiate a planned or minimal maturity category into the GitLab project. The MLOps single engineer group has a focus on MLOps, which will be focused on enabling data teams to...