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Applied Machine Learning Intern Jobs in California

Sr. Machine Learning Engineer

Santa Clara, CA ยท On-site

$143K - $189K/yr

As an Applied ML team, we are pushing the boundaries to provide our users with the utmost optimal ... Our team comprises a diverse range of backgrounds, including applied machine learning engineers ...

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Applied Machine Learning Intern information

What is the difference between Applied Machine Learning Intern vs Data Science Intern?

AspectApplied Machine Learning InternData Science Intern
Required SkillsMachine learning algorithms, programming (Python, R), data analysisStatistical analysis, data visualization, programming (Python, R)
Work EnvironmentDeveloping ML models, experimenting with algorithms, deploying modelsData cleaning, analysis, reporting insights
Industry UsageTech companies, AI startups, research labsBusiness analytics, market research, finance

Applied Machine Learning Interns focus on developing and deploying machine learning models, requiring knowledge of algorithms and programming. Data Science Interns typically handle data analysis, visualization, and reporting. While both roles involve data skills, applied ML interns work more on model implementation, whereas data science interns focus on insights and data interpretation.

What job categories do people searching Applied Machine Learning Intern jobs in California look for? The top searched job categories for Applied Machine Learning Intern jobs in California are:
What cities in California are hiring for Applied Machine Learning Intern jobs? Cities in California with the most Applied Machine Learning Intern job openings:

Applied Machine Learning Engineer

Fireworks AI

San Mateo, CA โ€ข On-site

Full-time

Posted 9 days ago


Job description

Job Summary:
Fireworks AI is building the future of generative AI infrastructure, delivering high-quality models with scalable inference. The Applied Machine Learning Engineer role focuses on developing and operationalizing machine learning models to drive business value and enhance user experiences through collaboration and hands-on engineering.
Responsibilities:
โ€ข Collaborate directly with the GTM team (Account Executives and Solutions Architects) to ensure smooth integration and successful deployment of ML solutions.
โ€ข Build and present compelling PoCs that demonstrate the capabilities of our AI technology.
โ€ข Design, develop, and deploy end-to-end AI-powered applications tailored to customer needs.
โ€ข Contribute to the internal ML platform, including adding features and resolving issues.
โ€ข Integrate and enable new machine learning models into the existing platform or client environments.
โ€ข Improve system performance, efficiency, and scalability of deployed models and applications.
โ€ข Work closely with partners to enable joint AI solutions and ensure seamless collaboration.
Qualifications:
Required:
โ€ข Bachelorโ€™s degree in Computer Science, Engineering, or a related technical field.
โ€ข 5+ years of experience in a software engineering role, with a strong preference for customer-facing roles.
โ€ข Robust coding skills required, preferably with proficiency in Python.
โ€ข Demonstrated ability to lead and execute complex technical projects with a focus on customer success.
โ€ข Strong interpersonal and communication skills; ability to thrive in dynamic, cross-functional teams.
Preferred:
โ€ข Masterโ€™s degree in Computer Science, Engineering, or a related technical field.
โ€ข Experience working in a startup or fast-paced environment.
โ€ข Hands-on experience fine-tuning machine learning models, including supervised fine-tuning (SFT) and reinforcement learning from human feedback (RLHF or RFT).
โ€ข Solid understanding of generative AI, machine learning principles, and enterprise infrastructure.
Company:
Fireworks AI is an advanced platform that enables users to build, tune, and scale AI applications using open-source models Founded in 2022, the company is headquartered in Redwood City, USA, with a team of 51-200 employees. The company is currently Growth Stage.