Machine Learning Engineer (APPLICATIONS PROGR 3)

Under general supervision of the Associate Director of DevOps, in conjunction with the Machine Learning Architect and Senior Developers, the Machine Learning Engineer works within an agile team to develop, train, deploy, and maintain moderately complex machine learning models. This role researches the latest machine learning technologies and processes and makes recommendations for their utilization in new projects. This role works with a team of data scientists to develop, train new models and assist with complex data modeling. This role is responsible for integrating these models into existing production services, conducting performance & integration testing, and for monitoring the models to ensure they are functioning properly.

Apply By Date

2/10/2025 at 11:59pm

Qualifications

Minimum Qualifications

For full consideration, applicants are encouraged to upload license, certification and/or educational degree if required of the position.

• Bachelor's degree in computer science, Engineering, Mathematics, or Information Systems or equivalent combination of education and experience.
• 1+ year of professional experience as a machine learning engineer designing, developing, deploying, and supporting machine learning models and platforms for medium-sized projects.
• Experience with the entire Software Development Life Cycle (SDLC) of deploying machine learning models to production in one or more domains, such as classification, Natural Language Processing (NLP), computer vision, recommendation systems, and forecasting.
• Experience translating business requirements to technical solutions and developing technical specifications and documentation for use in the development and prioritization of work.
• Experience implementing machine learning algorithms in Python such as linear regression, logistic regression, decision trees, random forests, support vector machines (SVMs), Naive Bayes, neural networks, clustering, dimensionality reduction, and natural language processing (NLP).
• Strong problem-solving skills and the ability to work independently or in a team environment.
• Oral, written and interpersonal skills to interact and communicate effectively and professionally with technical and nontechnical stakeholders.

Preferred Qualifications

• 2+ years of professional experience as a machine learning engineer designing, developing, deploying, and supporting machine learning models and platforms.
• Experience with industry tools and platforms used to build scalable machine learning systems, such as Elasticsearch, Kubernetes, Docker, Redis, Apache Kafka, SQL, NoSQL, Infrastructure as Code (IaC), AWS Lambda, and/or Apache Spark.
• Experience building a CI/CD pipeline with Github Actions, TravisCI, or others.
• Experience with cloud computing platforms such as AWS, Azure, or GCP.
• Experience developing web applications and/or mobile applications.

Key Responsibilities

• 90% - ANALYTICAL AND MACHINE LEARNING DEVELOPMENT SUPPORT
• 10% - OTHER DUTIES AS ASSIGNED

Department Overview

Risk and Safety Solutions (RSS) was founded in 2008 to provide innovative technology solutions supporting the University of California (UC), one of the world's leading research institutions. Meeting the challenges presented by the institution's vast breadth of Risk Management and Environmental Health and Safety (EH&S) activities related to cutting-edge research and healthcare services required a creative spirit and new ways of thinking. RSS is currently leading the development of an intelligent platform with over 40 solutions for Risk Management and EH&S in use across all 10 UC Campuses, 5 Medical Centers, and National Labs.

Since 2017, that entrepreneurial spirit has continued as RSS has expanded its clientele by offering innovative business solutions and expertise to a comprehensive range of business clients in the public and private sectors, nationally and internationally. You can learn more about RSS by visiting https://www.riskandsafety.com/

Position Information

• Salary or Pay Range: $75,000/yr. - $135,600/yr.
• Salary Frequency: Monthly
• Salary Grade: 22
• UC Job Title: APPLICATIONS PROGR 3
• Number of Positions: 2
• Appointment Type: Career
• Percentage of Time: 100% Fixed
• Shift Hours: M-F, TBD
• Location: Davis/Hybrid
• Union Representation: No
• Benefits Eligible: Yes
• Hybrid/Remote/On-Site: Hybrid

Benefits

Outstanding benefits and perks are among the many rewards of working for the University of California. UC Davis offers a full range of benefits, resources and programs to help you bring your best self to work, as well as to help you and your family achieve your health, wellness, financial and career goals. Learn more about the benefits and eligibility rules by visiting Benefits Summary for UC Davis Health Employees or Benefits Summary for UC Davis Employees and our Benefits Page.

If you are represented by a union, benefits are negotiated between the University of California (UC) and your union and finalized in a contract. Read your bargaining unit's employment contract, stay abreast of current negotiations and learn about collective bargaining at UC: https://ucnet.universityofcalifornia.edu/labor/bargaining-units/index.html

• High quality and low-cost medical plans to choose from to fit your family's needs
• For eligible roles, UC pays for Dental and Vision insurance premiums for you and your family
• Extensive leave benefits including Pregnancy and Parental Leave, Family & Medical Leave
• Paid Holidays annually as stipulated in the UC Davis Policies or Collective Bargaining Agreement
• Paid Time Off/Vacation/Sick Time as stipulated in the UC Davis Policies or Collective Bargaining Agreement
• Continuing Education (CE) allowance and Education Reimbursement Program as stipulated in the UC Davis Policies or Collective Bargaining Agreement
• Access to free professional development courses and learning opportunities for personal and professional growth
• WorkLife and Wellness programs and resources
• On-site Employee Assistance Program including access to free mental health services
• Supplemental insurance offered including additional life, short/long term disability, pet insurance and legal coverage
• Public Service Loan Forgiveness (PSFL) Qualified Employer & Student Loan Repayment Assistance Program for qualified roles
• Retirement benefit options for eligible roles including Pension and other Retirement Saving Plans. More information on our retirement benefits can be found here
• UC Davis cares about building a community, which is why we provide resources to enhance diversity, equity and inclusion as well as Employee Resource Groups (ERGs) to support our staff

Physical Demands

• Work on a personal computer for extended periods of time.
• Work and maintain concentration in a busy office with constant interruptions and distractions, and constant traffic and noise from telephone conversations, visitors, staff, etc.
• Occasional travel to locations on and off campus.

Work Environment

• Flexible or extended hours as needed based on workload demands.
• Adhere to workplace safety practices, read information communicated about workplace safety, complete required safety training on time, and report any workplace safety issues promptly to their supervisor or the designated safety coordinator.
• UC Davis is a smoke and tobacco free campus effective January 1, 2014. Smoking, the use of smokeless tobacco products, and the use of unregulated nicotine products (e-cigarettes) will be strictly prohibited on any UC Davis owned or leased property, indoors and outdoors, including parking lots and residential space.

Special Requirements

• This position is a critical position and subject to a background check. Employment is contingent upon successful completion of background investigation including criminal history and identity checks.

Diversity, Equity, Inclusion and Belonging

At UC Davis, we're solving life's most urgent challenges to bring a fuller, healthier, and more resilient world within reach. We grow from every challenge we take on and we don't just maintain - we improve. We recognize that creating an inclusive and intellectually vibrant organization means understanding and valuing both our individual differences and our common ground. The most comprehensive solutions come from the most diverse minds, and you belong here. As you consider joining UC Davis, please explore our Principles of Community, our Clinical Strategic Plan and strategic vision for research and education, and our latest efforts to outgrow the expected. The University of California, Davis is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status.

For the University of California's Affirmative Action Policy please visit: https://policy.ucop.edu/doc/4010393/PPSM-20.

For the University of California's Anti-Discrimination Policy, please visit:https://policy.ucop.edu/doc/1001004/Anti-Discrimination.

Because we want you to be seen, our recruiting process at UC Davis fosters authenticity, diversity, and inclusion. Studies have shown that some people may not apply to jobs unless they meet every single qualification. Each unique role at UC Davis has a set of requirements and you could be perfect for this role, or you could be perfect for the next role! Don't meet all the requirements? We still encourage you to apply! #YouBelongHere