> Markdown version of [/jobs/ext/2603129-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/2603129-machine-learning-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer - **Company:** Petco Animal Supplies, Inc. - **Location:** San Diego, CA, United States - **Experience:** Expert - **Salary:** $137,100.0 - $227,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Computer Programming, Distributed Systems, Python (Programming Language), Machine Learning, Tensorflow, Software Engineering, User-Centered Design, Google Cloud, Cloud Platform System, Pytorch, Deep Learning, Generative AI, Containerization, Kubernetes, Information Technology, Machine Learning Operations, Docker - **Published:** August 6, 2026 - **Apply:** https://www.dice.com/job-detail/d8b32ec7-ca1a-4832-bb0e-d04593c750d6 ## About the Role * Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field. * Extensive experience (5+ years) in developing and deploying machine learning models in complex, real-world applications. * Profound understanding of machine learning algorithms, deep learning, and statistical modeling. * Advanced programming skills in languages such as Python, Java, or R. * Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and related libraries. * Demonstrated leadership and mentorship capabilities. * Excellent problem-solving, analytical, and communication skills. * Proven ability to lead and execute machine learning projects from conception to deployment. Preferred Skills: * Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud). * Familiarity with big data technologies and distributed computing. * Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes). * Strong understanding of software development practices and methodologies #LI-CS1 #CORP Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. ## Description The Sr, Machine Learning Engineer will play a critical role in in the design, development, and deployment of sophisticated machine learning models and solutions within our Petco Data Science. This role requires expertise in machine learning, a proven track record of successful project implementations The Senior Machine Learning Engineer will collaborate closely with cross-functional teams to drive innovation and contribute to the strategic vision of the organization., Model Development and Optimization: * Oversee end-to-end design, development, and optimization of complex machine learning models and algorithms. * Apply advanced techniques and methodologies to solve challenging business problems. Research and Development: * Stay at the forefront of machine learning research and emerging technologies. * Responsible for research initiatives, experimenting with cutting-edge techniques to drive innovation. Cross-functional Collaboration: * Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to integrate machine learning solutions into complex systems. * Work closely with stakeholders to understand business requirements and translate them into actionable machine learning projects. Mentorship and Training: * May provide mentorship and guidance to junior machine learning engineers. * Conduct training sessions to share knowledge and best practices within the team. ML Ops Best Practices: * Design and develop end-to-end machine learning pipelines, emphasizing scalability, reliability, and performance. * Implement MLOps best practices for dynamic model training, testing, deploying and monitoring. * Stay up-to-date with the latest advancements in ML engineering, generative AI, cloud computing and related technologies. Documentation and Knowledge Sharing: * Maintain comprehensive documentation of models, algorithms, and methodologies. * Foster a culture of knowledge sharing and contribute to internal knowledge repositories. Continuous Improvement: * Identify opportunities for process improvement and contribute to the enhancement of machine learning workflows and methodologies. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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