Company description join a multibillion-dollar globalcompany that brings together amazing technology, people, andoperational scale to become a powerhouse in the memory industry.headquartered in rancho cordova, california, solidigm combineselements of an established, successful technology company with thespirit, agility, and entrepreneurial mindset of a start-up.
inaddition to the u.s. headquarters and other facilities in the u.s.,the company has international presence in asia, europe, and theamericas.
solidigm will continue to lead the world in innovatingnew memory technologies with aspirations to be the #1 nand memorycompany in the world.
at solidigm, we view problems asopportunities to define innovative solutions that hold the power tochange the world and unleash the potential technological needs thatthe future holds.
at solidigm, we are one team that fosters adiverse, equitable, and inclusive culture that embraces individualuniqueness and empowers us to bring our best selves to deliverexcellence in support of solidigm's vision and mission to be thego-to partner for optimized data storage solutions.
you can be partof the takeoff of an innovative business that develops cutting-edgeproducts, delivers strong business value for customers, provides anengaging workplace for its employees, and serves a greater impacton the world.
this is a golden opportunity for the right applicantto join us and help design, build, and lead solidigm.
we want adiverse team of dedicated professionals who will not just besolidigm team members but contribute to how we shape the future ofthe organization.
we are seeking applicants who will grow andthrive in our culture; be customer inspired, trusting, innovative,team-oriented, inclusive, results driven, collaborative,passionate, and flexible.
job description the entry-level machinelearning engineer will assist in designing, developing, anddeploying machine learning models and generative ai solutions tohelp solve business problems.
in this role, you will support datascientists by preparing data, conducting model experiments, andmaintaining scalable ai environments.
you'll collaborate closelywith a team of experienced data scientists and engineers, gaininghands-on experience with modern machine learning frameworks,software engineering principles, and cloud infrastructure.
we arelooking for a candidate with a foundational knowledge of machinelearning, enthusiasm for continuous learning, strong analyticalthinking, and excellent collaboration skills.
key responsibilities- assist in creating, training, and deploying machine learningmodels for various business applications.
- support the developmentand maintenance of scalable and efficient environments where datascientists can experiment and refine ml models.
- collaborate withdata scientists and senior engineers to understand projectrequirements and support model optimization and integration.
- helpintegrate machine learning models into existing systems,applications, and workflows.
- monitor and assist in improvingmodel accuracy, performance, and efficiency through experimentationand analysis.
- learn and apply software engineering bestpractices, such as version control, testing, and documentation, toml and generative ai projects - stay current with emerging aitechnologies and techniques through ongoing professionaldevelopment.
- assist in the implementation of data security andprivacy standards in all ai activities.
- support the developmentand maintenance of automated pipelines for data preprocessing,model training, and deployment.
qualifications - bachelor's degree(or upcoming graduation) in computer science, data science, machinelearning, or a related technical field.
- academic or internshipexperience in developing and experimenting with machine learningmodels.
- proficiency with python.
- familiarity with commonmachine learning frameworks and libraries (e.g., tensorflow,pytorch, scikit-learn).
- exposure or coursework related to cloudplatforms (e.g., aws, azure, google cloud) is a plus.
- basicunderstanding of software engineering best practices, includingversion control (e.g., git), unit testing, and documentation.
-strong analytical and problem-solving skills.
- excellentcommunication and interpersonal skills, with the ability tocollaborate effectively in a team environment.