Staff Machine Learning Engineer (Platform) at EarnIn

Mountain View, California, United States

Apply Now

$324,200 – $396,800Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

FintechIndustries

Requirements

Bachelor's or Master’s degree in Computer Science, Engineering, or a related field, or relevant equivalent experience
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 like AWS Sagemaker, Databricks, or GCP Vertex AI
Experience with LLM Ops, foundation model APIs, and AI engineering
Familiarity with data pipeline and workflow management tools
Strong communication and collaboration skills
Passion for learning and staying updated with the latest machine learning and platform engineering industry trends

Responsibilities

Design, build, and maintain the ML and AI platform and tools to support the end-to-end machine learning lifecycle
Work closely with other machine learning engineers to understand their workflows, optimize model training and deployment processes, and ensure the reproducibility of results
Ensure scalability, reliability, cost efficiency, and ease of use of the machine learning platform
Contribute to evaluating and adopting new technologies and tools to enhance our machine-learning capabilities
Set examples of outstanding operational excellence. Be the catalyst for step-jump changes
Be a mentor, coach, leader and inspiration to those around you

Skills

Key technologies and capabilities for this role

Machine LearningGenerative AIML PlatformModel TrainingModel DeploymentMLOpsScalabilityReliability

Questions & Answers

Common questions about this position

What is the salary range for this Staff Machine Learning Engineer position?

The base salary range is $324,200 to $396,800 plus equity and benefits. Salary ranges are determined by role, level, and location.

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

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

What skills and experience are required for this role?

Candidates need 7+ years of industry machine learning experience, strong Python programming skills with TensorFlow or PyTorch, experience with ML cloud platforms like AWS Sagemaker or GCP Vertex AI, and familiarity with LLM Ops and data pipeline tools.

What is the company culture like at EarnIn?

EarnIn values building products for everyday people by hiring a diverse team that represents the community, with an emphasis on leadership, mentorship, operational excellence, and staying updated with industry trends.

What makes a strong candidate for this position?

A strong candidate has a Bachelor's or Master’s in Computer Science or related field (or equivalent), 7+ years of ML experience, expertise in Python and ML frameworks, experience with cloud ML platforms and LLM Ops, plus strong communication skills and leadership qualities.

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.

Land your dream remote job 3x faster with AI

Try Jobo Free