Senior Staff Software Development Engineer, Machine Learning

Seattle, WA

Applications have closed

Employee Applicant Privacy Notice

Who we are:

Shape a brighter financial future with us.

Together with our members, we’re changing the way people think about and interact with personal finance.

We’re a next-generation fintech company using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.

The role:

We are seeking a Senior Staff Software Engineer to join our team focusing on Fraud detection and Risk evaluation models. SoFi Money allows its members to Save & Spend in ways that help them achieve their financial independence. We are rethinking how we can enable everyone to manage their money better including handling debit card transactions, fraud detection, machine learning driven growth initiatives & transaction level insights to members, faster and seamless money movement and tackle scale issues.  

The team is witnessing phenomenal growth and we are investing heavily into how we shape our technology stack for future growth. To achieve this goal, the team is developing new ML platforms and services and we are looking for engineers who can bring ML knowledge, thought leadership and help us scale for the future. On our team, you will be in the middle of it all – implementing functionality, architecting our system, evaluating the efficacy of the models developed, maintaining and monitoring the health of our code and models, and continually growing as an engineer. The ideal candidate is both forward-thinking and hands-on, has a strong sense of ownership and drive for delivery, and is a good mentor and co-worker.

What you’ll do:

  • Design and deliver resilient and scalable systems
  • Owning and ideating on technical solutions for product requirements and user stories with minimal supervision
  • Participating in code reviews, drive design reviews
  • Generating ideas for new initiatives and technologies
  • Creating best practices and mentoring other engineers on these best practices
  • Communicating engineering concepts and efforts with outside stakeholders in product marketing, operations, business, legal, and compliance
  • Working in a fast-moving, highly-collaborative environment across multiple offices

What you’ll need:

  • Bachelor’s Degree in Computer Science or related field
  • 8+ years experience developing applications 
  • 3+ years experience developing and leading ML applications including developing ML models.
  • Experience working in a collaborative coding environment, refining designs together, working through code reviews and managing pull requests
  • Agile software development experience
  • Willingness to roll up your sleeves, collaborate with others, and get stuff done
  • Strong sense of responsibility; driving a project from inception to completion
  • Affinity for solving problems and diving deep into the details

Nice to have:

  • Experience with building ML infrastructure and at-scale back-end applications.
  • Experience with Onyx, Tensor Flow, AWS Sagemaker

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
*These benefits are only applicable to full time employees
SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.

Due to local law, all employees who will be working from, traveling to, or attending work related meetings in our New York City office must be fully vaccinated and boosted (when eligible).

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
New York applicants: Notice of Employee Rights
SoFi is committed to embracing diversity. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com.
Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.

Tags: Agile AWS Computer Science Engineering Finance FinTech Machine Learning ML infrastructure ML models Privacy SageMaker TensorFlow

Perks/benefits: Career development Competitive pay Flex vacation Health care Insurance Medical leave Parental leave

Region: North America
Country: United States
Job stats:  5  1  0

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.