Staff Machine Learning Engineer (ML Platform)

Key Skills

Aartificial intelligence, Databricks, Effective communication skills, Google Cloud Platform (GCP), Large data sets, Machine learning techniques, Python Programming, PyTorch, SQL, TensorFlow, XGBoost

Job Description

POSITION SUMMARY

Machine learning is the crucial enabler for every financial service EarnIn provides its community members. We are going through transformative investments in machine learning platforms and algorithms. We seek experienced ML platform engineers to shape and execute the vision of bringing state-of-the-art capabilities to our machine-learning stack.

The Palo Alto base salary range for this full-time position is $272,700 - $333,300 plus equity and benefits. Our salary ranges are determined by role, level, and location. This is a hybrid position in Palo Alto and will require in-office work 2 days a week.

WHAT YOU'LL DO

• Design, build, and maintain the ML 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 reproducibility.
• Ensure scalability, reliability, cost efficiency, and ease of use of the machine learning platform.
• Contribute to the evaluation and adoption of new technologies and tools to enhance our machine-learning capabilities.
• Provide technical guidance and mentorship to junior team members.
• Set examples of outstanding operational excellence. Be the catalyst of step-jump changes.

WHAT WE'RE LOOKING FOR

• Bachelor's or Master’s degree in Computer Science, Engineering, or a related field.
• 5+ years of industry machine learning experience and excellent software engineering skills.
• Strong programming skills in Python, and familiarity with ML frameworks such as TensorFlow or PyTorch.
• Experience with ML cloud platforms such as AWS Sagemaker, Databricks, or GCP Vertex AI.
• Familiarity with data pipeline 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.

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.