Senior AI/ML Platform Engineer, dbt Labs
$172-231k
Salary dependent on location + Equity Stake
Data transformation tools
Be an early applicant
Data transformation tools
201-500 employees
Be an early applicant
$172-231k
Salary dependent on location + Equity Stake
201-500 employees
Company mission
To empower data practitioners to create and disseminate organizational knowledge.
Role
Who you are
- Extensive hands-on experience in ML infrastructure, including building pipelines and frameworks from scratch
- Expertise in anomaly detection, fraud detection, predictive analytics, and confidence scoring
- Strong Python skills, with proficiency in PyTorch, TensorFlow, and Spark (PySpark preferred, not Java-based Spark)
- Experience working with data warehouses (Snowflake), streaming systems (Kafka), and large-scale ML systems
- A track record of delivering production-ready ML systems—not just research or Jupyter notebooks
- Ability to thrive in a fast-paced, fully remote, distributed team environment
- 5+ years of experience in ML infrastructure, AI/ML engineering, or data engineering
- Bachelor’s degree in a related field, or equivalent professional experience. OR
- Completed enrollment in related bootcamp
- Experience with high-scale ML infrastructure in a fully remote, asynchronous environment
Desirable
- Experience in ML model evaluation, benchmarking, and automated remediation systems
- A background in building scalable ML platforms that process billions of data points
- Familiarity with cost optimization techniques (CostOps/FinOps) within data platforms and cloud environments
- Prior experience in ML infrastructure engineering at a high-growth startup or large-scale platform
What the job involves
- Our team is tackling one of the biggest challenges in data warehouse cost visibility and optimization—helping executive stakeholders understand and reduce their spend within their dbt projects
- Unlike external vendors, we’re bringing cost visibility directly into dbt, enabling users to detect anomalies, predict spend, and automate remediation
- Design and build the AI/ML infrastructure to power cost anomaly detection and predictive analytics
- Lay the foundation for ML-driven cost optimizations—detecting issues and automating remediation within dbt
- Work hands-on with Snowflake, Kafka, PyTorch, TensorFlow, Ibis, and Pandas to process billions of data points
- Collaborate cross-functionally with Product, Engineering, and Design to integrate ML models into dbt workflows
- Provide technical leadership in defining the AI/ML strategy for cost optimization and efficiency
- Influence the growth of our AI/ML engineering team as we scale
Application process
- Interview with a Talent Acquisition Partner
- Technical Interview with Hiring Manager
- Coding Challenge
- Systems Design & Product Partner
- Final interview with leadership team member
Our take
In 2018, dbt Labs founder Tristan Handy was running an analytics company and created a data build tool (or ‘dbt’) to help transform data for analysis. Fast forward one year and dbt Labs was born, offering its tools to help companies everywhere transform their data workflows.
Raw data comes in myriad forms and dbt Labs’ software allows data specialists to manage the data transformation layer making its use for analysis much easier. It offers consulting services on top of the software, and has ridden a wave of companies embracing digital transformation more as their services and workplaces become more online.
Seen as the defacto standard for modern analytics engineering by many, it reached unicorn status within 2 years of launch and is focusing future efforts on expanding reach more markets outside of the US. Its recent acquisition of Transform, an analytics engineering company, will aid in further developing its product's data transformation capabilities.
Steph
Company Specialist at Welcome to the Jungle
Insights
14% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Feb 2022
$222m
SERIES D
Jun 2021
$150m
SERIES C
Total funding: $414.4m
Company benefits
- Equity Stake
- Unlimited vacation
- 401k w/3% guaranteed contribution
- Excellent healthcare
- Paid parental leave
- Home office stipend
Company values
- We are a mission-driven company
- We contribute to the knowledge loop
- We are more concerned with value creation than value capture
- Work done well is its own end
- Transparency always wins
- We value diversity
- Users are our best advocates
- We are humble
- We optimize for the long-term
- We work hard and go home
- We are human
- We believe in moving up the stack
- Values are more important than success
Company HQ
West Poplar, Philadelphia, PA
Articles
Leadership
Tristan Handy
(CEO)Previously worked as a Senior Consultant at Deloitte, Director of Operations at Squarespace, COO at Argyle Social and Vp of Marketing at RJMetrics.
Connor McArther
(CTO)Former Software Engineer and Engineering Manager at RJMetrics and Stitch.
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