Data Scientist (ML Engineer) - San Ramon, CA

As a

• Data Scientist / ML Engineer
• , you will play a critical role in
• designing, building, and productionizing machine learning systems
• that solve real-world business problems. You will focus on
• end-to-end ML lifecycle ownership
• , including data ingestion, feature engineering, model development, deployment, monitoring, and optimization in production environments.You will work closely with
• data engineering, platform, and product teams
• to deliver scalable, reliable, and secure ML solutions. Under the guidance of senior technical leaders, you will contribute to
• engineering-grade ML architecture
• , gain hands-on experience with
• cloud-native ML systems
• , and help advance the organizations AI capabilities.
• 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.
• Bachelors or Masters 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.Our culture is shaped by the variety of perspectives and experiences brought by talent from around the world. Regardless of your interests, lifestyle, or background, theres a place for you at Franklin Templeton. We provide employees with the tools, resources, and learning opportunities to help them excel in their career and personal life.By joining us, you will become part of a culture that focuses on employee well-being and provides multidimensional support for a positive and healthy lifestyle. We understand that benefits are at the core of employee well-being and may vary depending on individual needs. Whether you need support for maintaining your physical and mental health, saving for lifes adventures, taking care of your family members, or making a positive impact in your community, we aim to have your needs covered. Learn more about the wide range of benefits we offer at Franklin Templeton.
• Highlights of our benefits include :
• 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
• Only applicable at certain locationsFranklin Templeton is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all applicants and employees, and we evaluate qualified applicants without regard to ancestry, age, color, disability, genetic information, gender, gender identity, or gender expression, marital status, medical condition, military or veteran status, national origin, race, religion, sex, sexual orientation, and any other basis protected by federal, state, or local law, ordinance, or regulation. If you believe that you need an accommodation or adjustment to search for or apply for one of our positions, please send an email to accommodations@franklintempleton.com. In your email, please include the accommodation or adjustment you are requesting, the job title, and the job number you are applying for. It may take up to three business days to receive a response to your request. Please note that only accommodation requests will receive a response.When you become part of Franklin Templeton, youll join a company dedicated to progress. A company that doesnt settle. One where we pursue our ambitions with energy and persistence. Thats why its so important that we empower and encourage the progress of our employees. From our welcoming, inclusive, and flexible culture to our global and diverse business, we provide opportunities to help you reach your potential while contributing to ours.At Franklin Templeton, we embrace individual differences and value experience and perspectives brought by talent from around the world. And, although we are all different, we all have one thing in common we are dedicated to what we do.So whether youre just starting your career journey, are well on your way, or are seeking a new direction, you'll find the support you need to grow your career with us.
• Come, join us, and help us shape the future of the global asset management industry!

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