More jobs:
Data Scientist; ML Engineer
Job in
San Ramon, Contra Costa County, California, 94583, USA
Listed on 2026-01-17
Listing for:
Franklin Templeton Investments
Full Time
position Listed on 2026-01-17
Job specializations:
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
As a
** Data Scientist / ML Engineer**, you will play a critical role in
** designing, building, and product ionizing 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 organization’s 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.
* 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.
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, there’s 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 life’s 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 locations
Franklin Templeton is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all applicants and employees, and we evaluate qualified applicants…
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