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Franklin Templeton · 7 hours ago

Data Scientist (ML Engineer)

San Ramon, CA

Full-time

Hybrid

Mid, Senior Level

$125K/yr - $160K/yr

5+ years exp

Franklin Templeton is a global investment leader focused on advancing the industry through innovative technology solutions. The Data Scientist (ML Engineer) will design, build, and productionize machine learning systems, collaborating with various teams to deliver scalable and reliable ML solutions.

Financial ServicesHedge FundsProfessional ServicesWealth Management

H1B Sponsor Likely

Responsibilities

Design, implement, and maintain robust, scalable data pipelines for ML workloads

Build automated data ingestion, validation, and preprocessing frameworks

Collaborate with data engineers to integrate ML workflows into enterprise data platforms

Optimize data storage and access patterns for high-volume, high-performance ML use cases

Ensure data quality, lineage, and reproducibility across ML pipelines

Develop, optimize, and maintain production-grade machine learning models

Implement feature engineering pipelines and reusable ML components

Design and build end-to-end ML architectures, from experimentation to deployment

Apply model evaluation, testing, and validation frameworks to ensure robustness

Lead efforts in Generative AI system design, mentoring team members on applied GenAI patterns and best practices

Translate ambiguous business problems into clear technical designs and ML system architectures

Deploy ML models using CI/CD pipelines, containerization, and cloud-native services

Implement model monitoring, performance tracking, drift detection, and retraining strategies

Partner with platform teams to ensure models meet security, scalability, and reliability standards

Troubleshoot and optimize ML systems in production environments

Contribute to ML platform standards, tooling, and reusable frameworks

Work closely with product managers, engineers, and business stakeholders to define technical requirements

Translate analytical insights into engineering deliverables for downstream systems

Communicate technical designs, trade-offs, and system behavior to both technical and non-technical audiences

Collaborate with domain experts to integrate business logic into ML system design

Stay current with advancements in ML engineering, cloud platforms, MLOps, and Generative AI

Prototype and evaluate new tools, architectures, and frameworks

Contribute to technical documentation, design reviews, and best practices

Continuously improve system reliability, performance, and maintainability

Qualification

Machine LearningPythonData EngineeringMLOpsSQLCloud PlatformsGenerative AICollaborationCommunicationProblem Solving

Required

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related discipline

5+ years of hands-on experience building and deploying ML systems in production

Strong proficiency in Python with experience building production ML code

Advanced SQL skills and experience working with large-scale datasets

Experience with machine learning frameworks

Hands-on experience with data pipelines, feature stores, and ML workflows

Familiarity with Generative AI models and applied GenAI system patterns

Experience deploying models using containers (Docker) and CI/CD pipelines

Exposure to cloud platforms (AWS, Azure, or GCP) and managed ML services

Understanding of model monitoring, drift detection, and lifecycle management

Ability to design scalable, fault-tolerant ML architectures

Strong ability to translate business problems into engineering solutions

Comfortable working with ambiguous requirements and defining technical direction

Experience designing modular, reusable, and maintainable systems

Strong debugging, performance optimization, and problem-solving skills

Ability to explain complex ML systems and trade-offs to diverse stakeholders

Strong written and verbal communication skills

Team-oriented with the ability to work independently and take ownership

Effective planning, prioritization, and execution in fast-paced environments

Benefits

Three weeks paid time off the first year

Medical, dental and vision insurance

401(k) Retirement Plan with 85% company match on your pre-tax and/or Roth contributions, up to the IRS limits

Employee Stock Investment Program

Tuition Assistance Program

Purchase of company funds with no sales charge

Onsite fitness center and recreation center

Onsite cafeteria

Company

Franklin Templeton

Glassdoor3.9

Franklin Templeton is a investment firm that offers mutual funds for individuals and institutions.

Founded in 1947

San Mateo, California, USA

5001-10000 employees

http://www.franklintempleton.com

H1B Sponsorship

Franklin Templeton 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)