ML Engineer

– Develops and communicates descriptive, diagnostic, predictive and prescriptive insights/algorithms of limited scope.
– In product/systems improvement projects, uses machine language and statistical modeling techniques to include but not limited to decision trees, logistic regression, Bayesian analysis and others to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy.
– In both theoretical development environments and specific product design, implementation and improvement environments, uses programming language and technologies to translate algorithms and technical specifications into code.
– Completes programming and implements efficiencies, performs testing and debugging.
– Completes documentation and procedures for installation and maintenance.
– Applies deep learning technologies to give computers the capability to visualize, learn and respond to situations of limited scope.
– Lead technical teams and scope challenging projects into executable sprints.
– Drive code reviews to help team adhere to general DevSecOps and MLOps best practices.
– Have a growth mindset and be comfortable in a setting where milestones shift often due to customer preferences or technology evolution.
– Adapts machine learning to areas such as virtual reality, augmented reality, artificial intelligence, robotics and other products that allow users to have an interactive experience.
– Interface with external vendors and partners to integrate their technology into the team’s autonomy stack.
– Maintains the strict confidentiality of sensitive information.

Required Skills & Experience
– 3+ years of experience demonstrating an advanced understanding of machine learning concepts, principles, and theory.
– Experience in developing and leading scalable software architectures from scratch.
– Experience in optimizing AI models to meet edge processing requirements.
– 3+ years of strong coding skills in Java, Java Script, C/C++, Python.
– Experience in AI frameworks such as Tensorflow and pyTorch.
– Must be able to architect, design, and develop complex software.
– Technical expertise in the application of engineering principles, concepts, theory, and practice as well as project management and leadership skills including organizing, planning, scheduling, and coordinating workloads to meet established deadlines or milestones.
– Demonstrated recent history of academic quality publications in the area of AI/ML and autonomy.
– Bachelor’s Degree (Master’s Degree strongly preferred).

Nice to Have Skills & Experience
– Master’s Degree.

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.

Job Category
Software Engineering
Job Type
unspecified
Salary
USD 116,000.00 - 208,000.00 per year
Country
United States
City
San Diego
Career Level
unspecified
Company
Insight Global
JOB SOURCE
https://jobs.insightglobal.com/jobs/find_a_job/california/san-diego/ml-engineer/job-315205/