Step Logo

Step

Senior Machine Learning Engineer

Reposted 25 Days Ago
Remote
Hiring Remotely in United States
Senior level
Remote
Hiring Remotely in United States
Senior level
As a Senior Machine Learning Engineer, you'll build and deploy ML models for risk and fraud detection, leading technical efforts and collaborating cross-functionally.
The summary above was generated by AI
About Step

We stand for the side hustlers, the creators, the freelancers, and the investors. We are built for those who are looking to start early, to rebuild, or improve on where they are today. For people who are not afraid to take on challenges, especially when it comes to their finances. 


Step is a next-generation financial services company building a better banking and borrowing experience to help people achieve financial independence as quickly as possible. We provide access to the tools, education, and opportunities to manage, build, and grow their money with confidence. Step is focused on disrupting the banking industry by delivering a differentiated, mobile-first consumer experience.


People love our product. We eclipsed over 7M million customers, and if you’re looking to join a fast-growing company with a strong mission and vision that puts people first, we want to meet you!

Step is a part of Beast Industries, a multifaceted media and entertainment company founded by Jimmy Donaldson, popularly known as MrBeast, the most-watched person in the world. Renowned for revolutionizing digital content creation, Beast Industries encompasses a diverse portfolio of ventures that extend far beyond its origins on YouTube. With a mission to entertain, inspire, and create significant social impact, Beast Industries operates across various domains, including digital media, philanthropy, consumer products, and innovative business initiatives. At Beast Industries, we believe in the transformative power of digital media and its potential to entertain, educate, and effect positive change. Our commitment to innovation, creativity, and philanthropy drives us to explore new frontiers, create unforgettable experiences, and build a legacy that inspires future generations.

The role

Step is looking for an experienced Data Scientist to build and deploy Machine Learning models for all things Risk and Fraud.

What you’ll do
  • Build and Deploy ML Models: You’ll design, develop, and deploy machine learning models to enhance our Risk and Fraud detection systems. These models protect Step and our customers from fraud and financial loss.
  • Lead Technical Efforts: You’ll take the lead in the Risk/Fraud area, providing technical direction and helping shape team’s strategy.
  • Data Manipulation: You’ll use SQL to efficiently fetch, transform, and manipulate data, ensuring it’s ready for model development.
  • Code Development: You’ll write production-grade code to deliver robust machine learning solutions.
  • Design Experiments: You’ll apply statistics to guide experiments, determine appropriate sample sizes, and evaluate model performance.
  • Cross-Function Partnership: Parter with Operations Team to quickly respond to rapidly evolving events.
What we’re looking for
  • 5+ years experience in Data Science or ML Engineering
  • Proficiency in SQL and Python
  • Ability to communicate clearly with both technical and non-technical audiences.
  • Excellent data analysis skills.
  • Experience developing and deploying machine learning models.
  • Experience, but not required, in working in financial systems, including lending or risk/fraud.

This role is available remotely within the U.S. or in our Palo Alto, CA office. 

Working at Step & Beast Industries

We are building a next-generation consumer and services platform with global reach and long-term ambition.

Benefits

  • Competitive Salary
  • Generous Medical, Dental, Vision, and company-paid Life Insurance 
  • 401k Plan with Safe Harbor company-matching
  • Flexible vacation policy and paid company holidays
  • Company-provided technology package

Similar Jobs

9 Days Ago
In-Office or Remote
CA, USA
Senior level
Senior level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Design, deploy, and maintain end-to-end ML-driven risk solutions at scale to detect and prevent fraud, abuse, and credit risk. Lead technical decisions, build ML tooling and processes, apply state-of-the-art models and third-party data, investigate emerging risk patterns, and collaborate with platform and cross-functional teams to ensure reliable real-time model operation.
Top Skills: AirflowAWSCi/CdContainerizationGCPKerasMlflowModeMySQLNumpyPandasPrefectPysparkPythonPyTorchScikit-LearnSnowflakeTableauTensorFlowVertex AiXgboost
10 Days Ago
Remote or Hybrid
CA, USA
Senior level
Senior level
Blockchain • Fintech • Mobile • Payments • Software • Financial Services
Design, deploy, and maintain end-to-end ML risk solutions at scale to detect and prevent fraud, merchant risk, and credit loss. Partner with cross-functional teams, lead technical decisions, build ML tooling, monitor models in production, and investigate emerging abuse patterns to improve detection and decisioning.
Top Skills: AirflowAWSCi/CdContainerizationGCPKerasMlflowModeMySQLNumpyPandasPrefectPysparkPythonPyTorchScikit-LearnSnowflakeTableauTensorFlowVertex AiXgboost
Yesterday
Remote or Hybrid
172K-301K Annually
Senior level
172K-301K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead architecture and roadmap for a multi-agent AI platform, design agent orchestration, context/memory management, and productionize LLM capabilities at enterprise scale. Provide technical leadership, establish test/evaluation frameworks for non-deterministic AI systems, mentor senior engineers, and align cross-functional strategy to deploy secure, highly available agent-driven features.
Top Skills: AutogenAWSAzureDistributed SystemsGCPGoHigh-Throughput Api DesignIamJavaLangchainLlmsMicroservicesModel Context Protocol (Mcp)Python

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account