Machine Learning Platform Engineer II

Norwest Venture Partners; Dave (AR); Remote; USD 125,000 - 150,000; Full time

Job summary

A financial technology company is seeking a Machine Learning Platform Engineer II to develop and enhance infrastructure for Machine Learning. This role involves collaborating with product managers, engineers, and data scientists to build scalable systems that improve financial services. Applicants should have a strong background in Python and relevant technologies, with at least 3 years of experience in software development. The position is virtual-first and open to candidates across the United States.

Benefits

Flexible work culture

401(k) matching contributions

Generous paid parental leave

Financial wellness support

Flexible PTO and holidays

Qualifications

• 3+ years of professional software development experience.
• Familiarity with end-to-end Machine Learning lifecycle.
• Strong problem-solving skills.

Responsibilities

• Deliver high-quality Python code for Machine Learning Platform.
• Conduct thorough tests and participate in code reviews.
• Identify and resolve performance bottlenecks in platform components.

Skills

Proficiency in Python

Software development experience

Analytical skills

Collaborative spirit

Education

BS or MS in Computer Science or related technical field

Tools

SQL

Machine Learning frameworks (e.g., Scikit-learn, TensorFlow)

Job description

Company Address: 1265 South Cochran Avenue, Los Angeles, California 90019, US

About Dave

The finance version of David and Goliath taking on the big banks, Dave is the highest ranked personal financial management app in the country. Our mission is to build products that level the financial playing field.

Job Description

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.

What You’ll Do

• 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.

What You’ll Need

• 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.

Nice to Have

• 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.

Why You’ll Love This Role

• 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

Technologies We Use and Teach

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.

• 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
• 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

Compensation

Dave has established a nationally applicable pay program that recognizes that regardless of where Daves choose to live, their time and effort are of equal value to the company. As such, we utilize base salary ranges that are intended to be competitive in all markets and do not differentiate pay based on employee work location. Actual compensation will vary based on an individual's previous experience, skills and other relevant qualifications.

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.