Senior Machine Learning Platform Engineer

Dave is looking for an experienced and passionate Senior Machine Learning Platform Engineer in our Engineering organization. As a Senior Machine Learning Platform Engineer, you will assist in 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.

What You’ll Do

• Drives technical decisions for tasks, choosing solutions that are scalable, easily testable, and reduce tech debt.

• Influences the team to maintain high standards for code quality and system reliability through exemplary code and constructive, insightful code reviews.

• Uses code reviews as an opportunity to coach and mentor other engineers on the team.

• Exhibits a deep understanding of the Machine Learning Platform, its architecture and codebase.

• Proactively identifies and communicates technical risks and issues within our systems.

• Provides reliable engineering estimates with clear assumptions for complex projects and epics.

• Leads technical design discussions, collaborating with other engineers and stakeholders to evaluate trade-offs between different solutions. You seek to deeply understand the "why" behind product and roadmap decisions.

• Actively works to improve team processes to boost quality and velocity.

• Proactively communicates project status, dependencies, and relevant information across squads.

• Helps onboard new team members, getting them up to speed on our systems and best practices.

• Participates in interviewing and helps us raise the bar by providing thoughtful, well-calibrated feedback on candidates.

What You’ll Need

• BS in Computer Science, related technical field or equivalent practical experience. MS or PhD in Computer Science or Machine Learning is a plus.

• 5+ years of professional software development experience, with a focus on backend or infrastructure engineering. Experience building or operating large-scale, high-availability distributed systems is a plus.

• Deep expertise in Python and familiarity with the end-to-end Machine Learning lifecycle and common Machine Learning frameworks (e.g., Scikit-learn, XGBoost, PyTorch, TensorFlow). Proficiency in another programming language is a plus.

• Proven experience building scalable, high-performing distributed systems in a cloud environment (GCP, AWS).

• Experience with workflow orchestration tools (e.g., Airflow) and large-scale data processing frameworks (e.g., Spark, Beam).

• Proficiency in common database query languages and technologies (SQL required; Snowflake, non-relational query languages optional).

• Experience leading complex technical projects from ideation to production.

• A strong ability to collaborate and a penchant for architecting maintainable, reliable, and well-documented solutions.

• Experience with MLOps, productionizing machine learning models, or building data-intensive applications is a plus.

Why You’ll Love This Role

• You’ll design and scale the machine learning infrastructure that powers Dave’s core products and directly impacts millions of members

• You’ll work across product, data science, and engineering teams—this role has broad influence and visibility

• You’ll have the autonomy to drive complex technical decisions while setting standards for reliability and scalability

• You’ll be part of a mission-driven team using cutting-edge tech to make financial services more fair, accessible, and affordable

Technologies We Use and Teach

• 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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