Sr. Staff ML Platform Engineer (TLM) at EarnIn

Mountain View, California, United States

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$360,000 – $440,000Compensation

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

Full TimeJob Type

UnknownVisa

Fintech, Financial ServicesIndustries

Requirements

Bachelor's or Master’s degree in Computer Science, Engineering, or a related field
7+ years of industry machine learning experience and excellent software engineering skills
Strong programming skills in Python, with familiarity in ML frameworks such as TensorFlow or PyTorch
Experience with ML cloud platforms such as AWS Sagemaker, Databricks, or GCP Vertex AI
Familiarity with data pipelines and workflow management tools
Strong communication and collaboration skills
Passion for learning and staying updated with the latest industry trends in machine learning and platform engineering

Responsibilities

Design, build, and maintain a robust ML platform and tooling ecosystem that supports the entire machine learning lifecycle, from experimentation to production
Lead and mentor a team of ML engineers, deeply understanding their workflows to streamline model training, deployment, and monitoring, while ensuring reproducibility and consistency of results
Drive scalability, reliability, and cost efficiency of the ML platform, balancing performance with ease of use for scientists and engineers
Evaluate and adopt emerging technologies to continually advance the organization’s machine learning capabilities and maintain a competitive edge
Champion operational excellence, setting a high bar for engineering quality, reliability, and automation
Act as a catalyst for innovation, spearheading step-change improvements that unlock new opportunities for growth and efficiency

Skills

Key technologies and capabilities for this role

ML PlatformMLOpsModel TrainingModel DeploymentMonitoringScalabilityReliabilityMachine Learning Lifecycle

Questions & Answers

Common questions about this position

What is the salary range for this position?

The base salary range for this full-time position in Mountain View is $360,000 to $440,000, plus equity and benefits.

Is this a remote position, or does it require office work?

This is a hybrid position in Mountain View, requiring in-office work 2 days a week.

What skills and experience are required for this role?

Candidates need a Bachelor's or Master’s degree in Computer Science or related field, 7+ years of industry machine learning experience, strong Python programming skills, familiarity with ML frameworks like TensorFlow or PyTorch, experience with ML cloud platforms such as AWS Sagemaker, Databricks, or GCP Vertex AI, and knowledge of data pipelines and workflow tools.

What does the team structure look like for this role?

This is a hands-on leadership role where you will lead and mentor a talented team of ML Platform Engineers.

What makes a strong candidate for this position?

Strong candidates will have 7+ years of ML experience, excellent software engineering skills, strong communication and collaboration abilities, and a passion for learning and staying updated with emerging technologies.

EarnIn

Provides early wage access without fees

About EarnIn

Earnin allows individuals to access their earned wages before payday without any fees or interest. Users can cash out a portion of their earnings and benefit from features like the "Balance Shield," which helps maintain their bank account balance. Unlike traditional financial institutions, Earnin operates on a model where users choose how much to pay for the service, fostering a community-driven approach. The company's goal is to create a fairer financial system that prioritizes accessibility and mutual support.

Palo Alto, CaliforniaHeadquarters

2012Year Founded

$184.9MTotal Funding

SERIES_CCompany Stage

FintechIndustries

201-500Employees

Benefits

Life in balance - Ten company holidays and flexible time off so you can rest and recharge when you need it most. With pay, no catch.

Family matters - When your family grows, we want your focus on them. Our generous parental leave policy and wellness funds make it easy to put yourself and loved ones first.

Learn & grow - A commitment to career development that includes regular training for team members and managers alike, 360 feedback, and an annual stipend for growth opportunities.

Company culture - Employee Resource Groups provide growth opportunities and allow you to create the company you want to work at (more on that below).

Health & wellness - Flexible healthcare options across medical, dental, and vision—and a free Employee Assistance program offering mental health resources and legal advice.

Save & support - Includes Earnin’s 401(K) and FSA plans with tax advantages for retirement, healthcare, and dependent care expenses.

Risks

Legal challenges from deceptive lending allegations could harm Earnin's reputation.

Increased competition in early wage access may impact Earnin's market share.

Reliance on voluntary contributions may not sustain long-term revenue.

Differentiation

Earnin offers fee-free early wage access, unlike traditional payday loans.

Users choose their payment amount, fostering a community-driven financial model.

Balance Shield feature provides automatic deposits to prevent overdrafts.

Upsides

Earnin has facilitated over $15 billion in earnings access since 2013.

Recognition as Best Payments App highlights Earnin's fintech innovation.

Partnerships with gig platforms could expand Earnin's user base.

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