Sr. Staff AI/Machine Learning Engineer jobs in United States
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Flex · 5 hours ago

Sr. Staff AI/Machine Learning Engineer

Flex is a growth-stage FinTech company headquartered in NYC, dedicated to transforming the rent payment experience for users. They are seeking a Senior Staff AI/Machine Learning Engineer to lead the development of advanced AI and machine learning systems that enhance business growth and product offerings.

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H1B Sponsor Likelynote

Responsibilities

Lead the design, development, and deployment of scalable machine learning models for high-impact fintech applications, driving the full ML lifecycle—from research and data exploration to training, evaluation, deployment, and monitoring
Collaborate with data scientists, engineers, and product teams to translate complex business challenges into machine learning solutions that directly support product and business objectives
Build, maintain, and optimize robust ML systems that meet stringent performance, scalability, and reliability standards in a production environment
Continuously monitor and enhance model performance through experimentation, hyperparameter tuning, and iteration to ensure alignment with evolving business needs
Utilize distributed computing frameworks and cloud-native platforms to develop and maintain data pipelines, feature stores, model serving infrastructure, and MLOps workflows
Evaluate, adopt, and implement state-of-the-art AI/ML tools, frameworks, and methodologies to ensure technical excellence and a competitive advantage
Champion responsible AI practices by ensuring models comply with regulatory and ethical standards, with a focus on explainability, fairness, bias mitigation, and auditability
Stay current with emerging trends and innovations in AI, machine learning, software engineering, and scalable deployment to keep our systems on the cutting-edge

Qualification

Machine LearningPythonCloud PlatformsML FrameworksDistributed ComputingData Workflow ToolsPerformance OptimizationAnalytical SkillsProblem-SolvingCollaboration

Required

Master's or Ph.D. in Computer Science, Engineering, Statistics, or a related technical field
6+ years of experience in machine learning, including 3+ years in senior or staff-level roles
Expert proficiency in Python (or similar languages) and experience with key ML libraries and frameworks such as TensorFlow, PyTorch, and scikit-learn
Extensive experience with cloud platforms (AWS, GCP, Azure), ML infrastructure tools (e.g., SageMaker, Vertex AI, MLflow), distributed computing (e.g., Spark, Kubernetes), and data workflow tools (e.g., Pandas, Airflow)
Proven track record of designing, building, and deploying end-to-end ML systems at scale in a production environment
Strong background in performance optimization, version control, CI/CD, and managing the ML model lifecycle in real-world applications
Excellent analytical and problem-solving skills, with a proven ability to collaborate across cross-functional teams to deliver production-ready solutions that meet business goals

Benefits

Competitive medical, dental, and vision available from Day 1
Company equity
401(k) plan with company match (our company match kicks off at the beginning of 2026)
Unlimited paid time off + 13 company paid holidays
Parental leave
Flex Cares Program
Free Flex subscription
Competitive compensation + company equity
Unlimited PTO

Company

Flex enables people to pay rent bills on a schedule that fits their personal finances.

H1B Sponsorship

Flex has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2024 (1)

Funding

Current Stage
Growth Stage
Total Funding
unknown
2025-03-31Series A
2019-11-01Seed
2019-07-24Pre Seed

Leadership Team

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Shragie Lichtenstein
Co-Founder & CEO
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Michael Jannain
Staff Software Engineer
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Company data provided by crunchbase