Senior Machine Learning Engineer (Applications PROGR 4)

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/

THIS POSITION IS NOT A VISA OPPORTUNITY

Under general supervision of the Associate Director of DevOps, the Senior Machine Learning Engineer works within an agile team to develop, train, and maintain machine learning models for enterprise-wide deployment. This role collaborates with the Machine Learning Architect to identify the best approach for tackling any given machine learning problem, makes recommendations for future development and research, and provides mentorship to the machine learning junior developers. This role is responsible for production deployments of highly complex machine learning models, monitoring their health, and overseeing their maintenance.

Position Information

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

• 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.

MINIMUM QUALIFICATIONS

Minimum Education/Experience:

• Bachelor’s degree in computer science, Engineering, Mathematics, or Information Systems or equivalent combination of education and experience.
• 3+ years of professional experience leading medium to broad projects as a senior machine learning engineer designing, developing, deploying, and supporting machine learning models and platforms.
• 3+ years’ experience with the entire Software Development Life Cycle (SDLC) of deploying machine learning models to production in multiple domains, such as classification, Natural Language Processing (NLP), computer vision, recommendation systems, and forecasting.
• 3+ years’ 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).
• Experience translating business requirements to technical solutions and developing technical specifications and documentation for use in the development and prioritization of work.

Minimum Knowledge, Skills, and Abilities (KSA):

• 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 and mentor junior developers.

PREFERRED QUALIFICATIONS

Preferred Education/Experience:   

• 5+ years of professional experience leading medium to large projects as a senior machine learning engineer designing, developing, deploying, and supporting machine learning models and platforms.
• Advanced 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.

SPECIAL REQUIREMENTS

Background Check

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 .