Machine Learning Engineer
Description For Machine Learning Engineer
EarnIn, a pioneering fintech company in earned wage access, is seeking a Machine Learning Engineer to join their team in Palo Alto. Backed by prestigious investors like A16Z, Matrix Partners, and DST, EarnIn is revolutionizing financial flexibility for those living paycheck to paycheck.
As a Machine Learning Engineer, you'll be at the forefront of developing and implementing ML systems that are crucial to the company's operations. The role involves designing and launching efficient ML models, working with both deep learning and statistical-based approaches, and ensuring robust production deployment. You'll collaborate closely with product managers and stakeholders to translate business requirements into technical solutions.
The position offers a competitive salary range of $169,800 - $207,600, plus equity and benefits. The hybrid work arrangement requires a minimum of two days in the office, with flexibility for more in-person time based on responsibilities. This is an excellent opportunity for someone with 2+ years of ML engineering experience and strong Python skills.
What makes this role unique is its direct impact on helping people manage their finances more effectively. You'll be working on ML systems that power real-time financial decisions and enhance customer experiences. The role combines technical expertise with meaningful social impact, making it ideal for engineers who want to apply their ML skills to improve people's financial lives.
EarnIn values diversity and inclusion, fostering a culture where different perspectives are celebrated. The company's commitment to building a financial system that works for everyone is reflected in their approach to hiring and team building. Join EarnIn to be part of a mission-driven team that's using cutting-edge technology to solve real-world financial challenges.
Responsibilities For Machine Learning Engineer
- Design, build, and launch efficient and reliable machine learning (ML) models to drive business impact
- Train and validate both deep learning-based and statistical-based models
- Develop deep understanding of applications and the 'why' behind models & systems
- Partner with product managers, tech leads, and stakeholders to analyze business problems
- Work with data platform teams to enable robust scalable batch and real-time data pipelines
- Drive ML and engineering standards through mentoring and knowledge sharing
Requirements For Machine Learning Engineer
- MS degree or Ph.D. degree in Computer Science or related technical field
- 2+ years of experience in ML engineering
- Strong programming skills in Python and data engineering skills
- Extensive knowledge of machine learning algorithms
- Hands-on experience with architectural patterns for large-scale applications
- Industry experience building and productionizing machine learning systems
- Strong oral and written communication skills
Benefits For Machine Learning Engineer
- Equity
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