Sr. Staff ML Platform Engineer (TLM)

EarnIn • Mountain View, CA

88d • $360,000 - $440,000

About The Position

As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks. We’re fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We’re growing fast and are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey. Machine learning is the crucial enabler for every financial service that EarnIn provides to its community members. We are going through transformative investments in machine learning platforms and algorithms. This is an exciting opportunity for a Senior Staff Machine Learning Engineer/ Technical Lead Manager to lead a talented team of ML Platform Engineers and execute the vision of bringing state-of-the-art capabilities to our machine-learning stack. This is a hands on leadership role with significant product and company impact.

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.

Benefits

• Base salary range of $360,000 to $440,000, plus equity and benefits.
• Hybrid position requiring in-office work 2 days a week.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Bachelor's degree