Dave is looking for a passionate Machine Learning Platform Engineer II in our Engineering organization. As a Machine Learning Platform Engineer II, you will contribute to the design and development of the infrastructure responsible for operationalizing Machine Learning at Dave.
You're someone who thrives on collaboration, is passionate about building robust and scalable Machine Learning systems, and is excited to help level the financial playing field for our members. This role will partner directly with product managers, engineers, data scientists, marketing and other business partners across the business to design, develop and continuously improve the infrastructure responsible for operationalizing Machine Learning at Dave.
Delivers consistent, high-quality Python code for our Machine Learning Platform, including our in-house Feature Store, real-time scoring service, and infrastructure for all aspects of the model development lifecycle.
Helps eliminate the potential for member-impacting issues by writing thorough tests (unit, integration, etc.) and participating in thoughtful code reviews.
Identifies and helps resolve performance bottlenecks in new and existing platform components.
Effectively receives and addresses feedback on code and system designs.
Collaborates closely with Data Scientists and other engineers to understand their needs and challenges, ensuring our platform is meeting their requirements.
Adjusts explanations of technical concepts to varying audiences (e.g. other engineers, data scientists, or product managers).
Clearly understands the trade-offs in technical solutions. Proactively seek clarity on priorities to ensure we're building the right things at the right time.
Suggests process improvements for the team to enhance our quality, velocity, and overall engagement.
A BS or MS in Computer Science, a related technical field, or equivalent practical experience.
3+ years of professional software development experience.
Proficiency in Python and familiarity with the end-to-end Machine Learning lifecycle and common Machine Learning frameworks (e.g., Scikit-learn, XGBoost, PyTorch, TensorFlow).
Experience in common database query languages and technologies (SQL required; Snowflake, non-relational query languages optional).
A collaborative spirit and a knack for creating maintainable and reliable software.
Strong analytical and problem-solving skills.
Bonus points for experience with MLOps tools, real-time data processing / streaming systems, or feature stores.
Experience with workflow orchestration tools (e.g., Airflow) and large-scale data processing frameworks (e.g., Spark, Beam) is a plus.
You’ll build and improve the ML platform that powers Dave’s core products and directly shapes how millions of members access fair financial services
You’ll collaborate closely with data scientists, engineers, and product teams—this role has strong cross-functional impact and visibility
You’ll contribute to scalable, high-performance systems while learning from senior engineers and growing your technical depth in ML infrastructure
You’ll be part of a mission-driven company that’s using cutting-edge technology to reinvent how people manage money
Kubernetes & Docker, Terraform, ArgoCD, Google Cloud Storage, Pub/Sub, BigQuery, Bigtable, Firestore, Redis, Snowflake, Apache Beam, Airflow, Vertex AI, Redis, Python, Java, NodeJS, FastAPI, SQL, Datadog
Location Requirement: This role is open to candidates based in Ontario or British Columbia, Canada.
Don’t let imposter syndrome get in your way of an incredible opportunity. We’re looking for people who can help us achieve our mission and vision, not just check off the boxes. If you’re excited about this role, we encourage you to apply. You may just be the right candidate for this or other roles.
Why you’ll love working here:
At Dave, our people are just as important as our product. Our culture is a reflection of our values that guide who we are, how we work, and what we aspire to be. Daves are member centric, helpful, transparent, persistent, and better together. We strive to create an environment where all Daves feel valued, heard, and empowered to do their best work. As a virtual first company, team members can live and work anywhere in the United States, with the exception of Hawaii.
A few of our benefits & perks:
Opportunity to tackle tough challenges, learn and grow from fellow top talent, and help millions of people reach their personal financial goals
Flexible hours and virtual first work culture with a home office stipend
Premium Medical, Dental, and Vision Insurance plans
Generous paid parental and caregiver leave
401(k) savings plan with matching contributions
Financial advisor and financial wellness support
️ Flexible PTO and generous company holidays, including Juneteenth and Winter Break
All-company in-person events once or twice a year and virtual events throughout to connect with your team members and leadership team
Dave Operating LLC is proud to be an Equal Employment Opportunity employer and is dedicated to cultivating a diverse and inclusive workplace. We will consider for employment all qualified applicants and do not discriminate on any basis protected by federal, state, or local law, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance relating to an applicant's criminal history.
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