Senior Machine Learning Engineer, Bolt
Fraud and Risk
$180-240k
+Equity
One-click checkout solution for online payments
Open for applications
One-click checkout solution for online payments
501-1000 employees
Open for applications
$180-240k
+Equity
501-1000 employees
Company mission
To democratize commerce by setting a new standard for buying and selling online.
Role
Who you are
- Someone with experience, creativity, and passion for producing world-class technology
- If challenges excite you, and you’re ready for a large one, let us know
- Minimum of three years’ post-secondary education or relevant work experience, along with minimum of two years’ software development experience with Python and SQL
- Minimum of two years’ experience using PyTorch, Tensorflow, Spark ML for building pipelines to deploy NLP and deep learning models into production in a cloud (AWS, GCP, Azure) environment
- Thorough understanding of machine learning fundamentals and methodologies
- Experience building and deploying machine learning models in an applied setting
- Strong understanding of how to build scalable ML systems supporting online and offline applications
- Familiarity with best practices of lifecycle management for ML models in industry
Desirable
- Retail and/or Martech experience in building large-scale personalization and recommendation systems in a consumer-based setting
- Experience with big data tools like Spark, Kafka, BigQuery, Dataflow, Apache Beam, Pubsub, Cloud Functions, EMR, S3, Glue, Kinesis Firehose, Lambda; a Linux environment
- Industry experience in building large-scale recommendation systems in a consumer-based setting
What the job involves
- The Data Platform team works closely with all teams and cross-functional partners (including product, engineering, and data analysts) to build a foundational data stack powering business analytics
- We are looking for someone to play a mission-critical role in designing and building the machine models for risk, fraud, recommendation, and personalization that powers Bolt
- Companies and consumers alike will rely heavily on what you build, and you’ll have a ton of trust and responsibility
- Build production ready machine learning models; your models will be the engine that powers online commerce through Bolt
- Establish reusable frameworks to streamline model building, deployment and monitoring, incorporating comprehensive monitoring, logging, tracing, and alerting mechanisms
- Conduct data analysis to determine which policies we adopt and help inform strategic growth
- Build machine learning infrastructure, data pipelines and production ready services to serve live traffic
- Collaborate with Product Managers to ensure proper tracking of algorithmic performance KPIs and prioritize performance improvements based on effort and impact
- Work with other teams at Bolt to engineer new features for models or new product features that help improve Bolt business
Our take
Designed to replace existing checkout models and make buying on any device easy and safe, Bolt provides a one-click checkout solution. Its online shopping software is utilized by companies like Brooks Brothers and Forever 21. As well as supporting all major card providers and alternative payment methods like PayPal, customers also don't need a username or password. This reduces cart abandonment and increases merchant conversion rates.
The company has seen impressive growth, annually processing more than $1 billion in retail transactions across its 300+ retailers. While Bolt has won the race against Google, who tried, and failed with Google Checkout, there are other 'one-click' competitors to watch out for, including Square, who has over 30 million monthly active users.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
-15% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Jan 2022
$355m
SERIES E
Oct 2021
$60m
SERIES C
Total funding: $963m
Company benefits
- Four-Day Workweek, flexible working hours, & unlimited PTO time to promote a healthy work-life balance
- 100% paid coverage of medical, dental, and vision insurance for employees
- Remote First location policy to allow team members to live where they choose
- Work from home stipend to help you succeed in a remote environment
- Early Exercise program to help Bolters maximize the value of their equity
- 401K program to help you invest in your future
- Learning & Development stipend to grow your skills
- Paid parental leave to support you and your family
- 11 paid company holidays per year, 5 additional floating holidays, & your birthday off
Company values
- Win-Win Partnerships - Bolt thinks critically about culture. They’re not just a list of values on the wall, they’re instilled into our everyday practices. We create an environment where the best ideas win, not the loudest voices in the room
- Writing > Talking - We value writing over talking, it promotes systematic thought and reasoned arguments; creates a results-oriented mindset, removes the influence of the loudest voices in the room, and fosters collaboration across the organization
- Live Curiously - We believe a learning and growth mindset is how we evolve and grow as a business and as individuals. At its core, a growth mindset requires curiosity, humility, and openness to giving and receiving feedback from everyone we work with
- Founder Mentality - We embrace the founder mentality — that means approaching every problem as if we owned the company (because we do), having a bias for action, and doing everything possible to achieve our goals
- United + Unique - Our team is united by many shared values (hunger to solve hard problems, passion for our mission, thoughtfulness, etc). But we also value the strength that comes when we acknowledge, respect, and embrace our unique histories, skills, and experiences. And, we firmly believe that we win when we are united in our differences
- Be 20% Wrong, Chase 10X - We move fast, take risks, and chase big outcomes wherever possible. We act fearlessly, take action without waiting for consensus, experiment, fail (and learn from it) and try again
Company HQ
Lower Nob Hill, San Francisco, CA
Articles
Leadership
Ryan Breslow
(Chairman)They studied Computer Science at Stanford before working as a Stanford-StartX Coach for 4 years and founding Bolt in 2015. Stepped down as CEO to assume the role of Chairman. They found the company Love in Jan 2022.
Maju Kuruvilla
(CEO, not founder)Extensive history in software engineering. Former VP of Amazon. Took on the role of CPTO at Bolt before subsequently going on to become the company CEO.
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