Senior Machine Learning Engineer (Payments)

TL;DR

Senior Machine Learning Engineer (Payments): Designing, building, and deploying scalable ML solutions and systems for financial services with an accent on state-of-the-art machine learning techniques and full lifecycle model development. Focus on experimenting with new modeling approaches, collaborating on signal ingestion, and productionizing models to unblock financial freedom.

Location: Hybrid, based in San Francisco or New York. The target base salary varies based on the job's location, with different zones across the US.

Salary: $225,600 - $337,200 a year

Company

hirify.global builds tools and experiences that thousands of developers use to create products, powering the financial health of millions of people through connections to 12,000 financial institutions.

What you will do

• Build high-impact ML solutions empowering millions of users with access to financial services.
• Experiment with cutting-edge ML modeling techniques.
• Work on both 0-1 (new problems) and 1-10 (scaling) stage problems.
• Develop AI/ML models through the full life cycle (offline training to online serving and monitoring).
• Collaborate with teams across hirify.global to define the ML roadmap.
• Apply data-driven decisions in day-to-day work.

Requirements

• 5+ years in training and serving AI/ML models in a production environment.
• Experience building/working with data-intensive backend applications in large distributed systems.
• Ability to code and iterate independently using Python, Spark, and Jupyter notebooks.
• Take pride in taking ownership and driving projects to business impact.
• Master's degree or equivalent work experience in Computer Science, Mathematics, or Engineering.

Nice to have

• Data analytics and data engineering experience.
• Experience with the industry application of NLP.
• Experience with the FinTech industry.

Culture & Benefits

• Mission-driven to unlock financial freedom for everyone.
• Committed to building a diverse team and valuing individual contributions.
• Comprehensive benefit plan including medical, dental, vision, and 401(k).
• Emphasis on user empathy and teamwork.
• High ownership, bottom-up driven team culture.