Sr. Staff ML Platform Engineer (TLM)

About EarnIn

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.

POSITION SUMMARY

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.

The Mountain View base salary range for this full-time position is $360,000 to $440,000, plus equity and benefits. Our salary ranges are determined by role, level, and location. This is a hybrid position in Mountain View, requiring in-office work 2 days a week.

WHAT YOU'LL DO

• 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.

WHAT WE'RE LOOKING FOR

• 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.

#LI-Hybrid

At EarnIn, we believe that the best way to build a financial system that works for everyday people is by hiring a team that represents our diverse community. Our team is diverse not only in background and experience but also in perspective. We celebrate our diversity and strive to create a culture of belonging. EarnIn does not unlawfully discriminate based on race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. EarnIn is an E-Verify participant.

EarnIn does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or HR team.