Lead Machine Learning Engineer
InformaticaBase Salary
$173k - $286k/yr
Responsibilities
- Define and drive the technical machine learning strategy, including robust model architectures and MLOps practices.
- Lead end-to-end development, deployment, optimization, and automated retraining of multiple machine learning pipelines.
- Implement infrastructure-as-code, CI/CD pipelines, MLOps automation, model monitoring, and drift detection.
- Design monitoring for model performance, data quality, and system health.
- Own a portfolio of ML pipelines within a security and compliance framework.
- Collaborate with Data Science, Data Engineering, Research, Platform Engineering, and Product Management teams.
- Provide technical leadership in ML engineering practices and mentor junior machine learning engineers.
- Productize generative AI solutions and agentic workflows to enhance security posture and resilience.
Requirements
- A master’s or PhD in a quantitative field is required.
- At least 6 years of experience across the end-to-end lifecycle of multi-model machine learning systems, from design through large-scale deployment.
- Deep practical experience with Docker, Kubernetes, and Apache Airflow for automated ML pipelines.
- Expert Python skills and proficiency with TensorFlow and PyTorch, along with software engineering best practices.
- Demonstrated success implementing MLOps methodologies, CI/CD pipelines, testing protocols, and model performance monitoring.
- Experience with feature engineering, feature stores, infrastructure-as-code, monitoring tools, Spark, and Snowflake.
- Significant experience developing and deploying generative AI solutions in production.
- Experience formulating ML governance policies and complying with data security regulations.
- A record of leading ML initiatives with measurable business outcomes and collaborating across technical and product teams.
- Preferred qualifications include advanced NLP expertise, collaboration with ML research teams, mentoring experience, and publications or patents in quantitative disciplines.
Benefits
- Benefits include time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, a 401(k), and an employee stock purchasing program.
- The stated base salary range is $172,500–$260,100 annually, with a $207,800–$285,800 annual range in select San Francisco and New York City metropolitan area locations.
Tech Stack
Categories
About Informatica
Informatica (NYSE: INFA), a leader in AI-powered enterprise cloud data management, helps businesses unlock the full value of their data and AI. As data grows in complexity and volume, Informatica’s Intelligent Data Management Cloud™ delivers a complete, end-to-end platform with a suite of industry-leading, integrated solutions to connect, manage and unify data across any cloud, hybrid or multi-cloud environment. Powered by CLAIRE® AI, Informatica’s platform integrates natively with all major cloud providers, data warehouses and analytics tools— giving organizations the freedom of choice, avoiding vendor lock-in and delivering better ROI by enabling access to governed data, simplifying operations and scaling with confidence. Trusted by approximately 5,000 customers in nearly 100 countries—including over 80 of the Fortune 100—Informatica is the backbone of platform-agnostic, cloud data-driven transformation. Informatica. Where data and AI come to life.™ Contact: PR@informatica.com