Sr. Staff Machine Learning Engineer

Senior Staff Machine Learning Engineer at Flex

Flex is a growth-stage FinTech company creating the best rent payment experience, empowering renters with flexibility over their rent payments. We are seeking an experienced Senior Staff Machine Learning Engineer to join our dynamic team and take a leading role in developing cutting-edge machine learning systems that drive business growth.

About the Role

As a key technical contributor, you will own the end-to-end lifecycle of machine learning projects, from data collection and preprocessing to model deployment, monitoring, and maintenance in a production environment. You will build, maintain, and optimize robust data pipelines, implement machine learning algorithms, and collaborate closely with data scientists, product teams, and engineers to implement state-of-the-art solutions. This role requires a strong understanding of machine learning, software engineering practices, and deployment strategies, with a focus on delivering value and performance at scale.

What You'll Do

• Own the end-to-end lifecycle of machine learning projects, including data collection, preprocessing, model deployment, monitoring, and maintenance.
• Build, maintain, and optimize robust data pipelines for model development, training, and deployment.
• Implement machine learning algorithms and models meeting performance, scalability, and reliability requirements.
• Collaborate with cross-functional teams to design and deploy ML systems addressing business and product needs.
• Continuously monitor and improve model performance through experiments and hyperparameter tuning.
• Leverage distributed computing frameworks and cloud-based platforms for large-scale data processing.
• Stay up-to-date with advancements in machine learning, software engineering, and deployment strategies.
• Candidates with domain expertise in payment risk, fraud detection, or customer success are highly preferred.
• Expertise with NLP models is considered an asset.

Key Qualifications

• Master’s or Ph.D. in Computer Science, Engineering, or a related field.
• 6+ years of experience as a Machine Learning Engineer, with expertise in building and deploying ML models in production.
• Strong proficiency in Python or similar programming languages, and experience with ML libraries (TensorFlow, PyTorch, scikit-learn).
• Extensive experience with cloud platforms (AWS, GCP, Azure) and distributed computing frameworks (Spark, Kubernetes).
• Proven track record of implementing end-to-end ML pipelines.
• Strong background in model optimization, version control, and CI/CD practices for ML.
• Excellent problem-solving abilities and capacity for cross-functional collaboration.

Compensation

• Tier 1 (NYC/Bay Area, Los Angeles, Seattle): $200,000—$235,000 USD
• Tier 2 (Austin, Washington D.C. Philadelphia, San Diego, Chicago, Atlanta): $180,000—$220,000 USD
• Tier 3 (Salt Lake City, all other USA cities): $170,000—$210,000 USD
• Compensation is market-based and may vary by primary work location.

Life at Flex

Flex is headquartered in New York City with employees across the US, Australia, Canada, and South America. We are committed to building an inclusive culture and are an equal opportunity workplace. Roles in New York, San Francisco, and Salt Lake City are hybrid, requiring 2-3 days per week in the office.

Benefits

For full-time U.S. employees:

• Competitive medical, dental, and vision insurance.
• Company equity.
• 401(k) plan with company match.
• Unlimited paid time off + 13 company-paid holidays.
• Parental leave.
• Free Flex subscription.

For full-time non-U.S. employees:

• Competitive compensation + company equity.
• Unlimited PTO.