Sr. Machine Learning Platform Engineer

Canada

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CA$116,000 – CA$174,000Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

FintechIndustries

Requirements

Candidates should possess a BS in Computer Science, a related technical field, or equivalent practical experience, with an MS or PhD in Computer Science or Machine Learning being a plus. A minimum of 5 years of professional software development experience, focusing on backend or infrastructure engineering, is required. Experience building or operating large-scale, high-availability distributed systems is advantageous. Deep expertise in Python and familiarity with the end-to-end Machine Learning lifecycle and common frameworks like Scikit-learn, XGBoost, PyTorch, or TensorFlow are essential. Proficiency in another programming language is a plus. Proven experience building scalable, high-performing distributed systems in a cloud environment (GCP, AWS) is necessary, along with 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, including SQL (required) and optionally Snowflake or non-relational query languages, is needed. Experience leading complex technical projects from ideation to production and a strong ability to collaborate are crucial. Experience with MLOps, productionizing machine learning models, or building data-intensive applications is a plus.

Responsibilities

This role involves assisting in the design and development of the infrastructure for operationalizing Machine Learning. Responsibilities include driving technical decisions for tasks, selecting scalable and testable solutions, and reducing tech debt. The engineer will influence the team to maintain high standards for code quality and system reliability through exemplary code and constructive code reviews, using these as opportunities to coach and mentor others. They will exhibit a deep understanding of the Machine Learning Platform's architecture and codebase, proactively identify and communicate technical risks and issues, and provide reliable engineering estimates for complex projects. Leading technical design discussions, collaborating with stakeholders to evaluate solution trade-offs, and deeply understanding the 'why' behind product and roadmap decisions are key. The engineer will actively work to improve team processes for quality and velocity, proactively communicate project status, dependencies, and relevant information, and help onboard new team members by getting them up to speed on systems and best practices. Participation in interviewing and providing thoughtful feedback on candidates is also expected.

Skills

Machine Learning

Platform Engineering

Infrastructure

Scalability

System Reliability

Code Quality

Technical Design

Mentoring

Collaboration

Dave

Mobile app for fee-free financial services

About Dave

Dave is a financial technology company that helps individuals manage their finances through a mobile app. The app offers various financial services, including cash advances on upcoming paychecks without interest or credit checks, which helps users avoid overdraft fees. It targets lower to middle-income individuals who may struggle with traditional banking services, providing a fee-free banking experience with no overdraft, minimum balance, or ATM fees at over 32,000 locations. Dave generates revenue through subscription fees and optional services, such as helping users find side jobs and offering a credit-building service through LevelCredit. The app is designed to be user-friendly and non-judgmental, making it easier for users to navigate their financial lives. Dave's goal is to provide accessible banking services that empower individuals to manage their finances effectively.

West Hollywood, CaliforniaHeadquarters

2016Year Founded

$366MTotal Funding

IPOCompany Stage

Fintech, Financial ServicesIndustries

501-1,000Employees

Benefits

Flexible work hours & remote culture

Medical, dental, & vision

Generous PTO

401k with match

Flexible PTO

All-company in-person events

Risks

FTC and DOJ lawsuits for deceptive practices could harm Dave's reputation and finances.

Regulatory challenges during Frisch's appointment may indicate internal instability.

New CFPB rule might affect Dave's revenue model, impacting financial services offered.

Differentiation

Dave offers fee-free banking services, unlike traditional banks with hidden charges.

The app provides cash advances without interest or credit checks, aiding financial stability.

Dave's 'Side Hustle' feature helps users find additional income opportunities.

Upsides

Participation in Socure's consortium enhances fraud prevention, boosting customer trust.

Kevin Frisch's appointment as CMO may improve brand positioning and customer acquisition.

CFPB's overdraft rule aligns with Dave's model, attracting dissatisfied bank customers.

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