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Summer Masters Computer Science Jobs in Riverside, CA

Viant Technology

Staff Applied Scientist

Irvine, CA · On-site

$180K - $220K/yr

Masters + At least two peer-reviewed publications in deep learning, NLP, or a related AI domain or a PhD in Computer Science, Machine Learning, Statistics, or a related quantitative field. * Deep ...

Silvus Technologies

Embedded Software Engineer

Irvine, CA · On-site

$48.08 - $67.31/hr

Masters of Science degree in Electrical, Computer, or Communications Engineering, Computer Science. * Knowledge and experience of different security protocols and encryption algorithms such as suite ...

Viant Technology

Staff Applied Scientist

Irvine, CA · On-site

$180K - $220K/yr

Masters + At least two peer-reviewed publications in deep learning, NLP, or a related AI domain or a PhD in Computer Science, Machine Learning, Statistics, or a related quantitative field. * Deep ...

Broadcom

Digital Design Engineer

Irvine, CA · On-site

$101K - $162K/yr

A Bachelor's Degree in Electrical and Electronic Engineering or Computer Science with 5+ years relevant industry experience or a Masters degree in Electrical and Electronic Engineering or Computer ...

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Summer Masters Computer Science information

What is the difference between Summer Masters Computer Science vs Summer Data Science Intern?

AspectSummer Masters Computer ScienceSummer Data Science Intern
Required CredentialsUndergraduate or Master's in Computer Science or related fieldUndergraduate or Master's in Data Science, Computer Science, or related field
Work EnvironmentSoftware development, coding, algorithm designData analysis, modeling, statistical programming
Employer & Industry UsageTech companies, software firms, startupsTech companies, finance, healthcare, consulting

Summer Masters Computer Science roles focus on software development, coding, and algorithms, while Summer Data Science Intern positions emphasize data analysis, statistical modeling, and data-driven decision making. Both roles typically require similar educational backgrounds and are found in tech-driven industries, but they differ in daily tasks and skill emphasis.

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What cities near Riverside, CA are hiring for Summer Masters Computer Science jobs? Cities near Riverside, CA with the most Summer Masters Computer Science job openings:
Summer Masters Computer Science jobs near you
Staff Applied Scientist

Staff Applied Scientist

Viant Technology

Irvine, CA • On-site

$180K - $220K/yr

Other

Medical, PTO

Posted 23 days ago

Job description

WHAT YOU'LL DO

Viant's Machine Learning team is at the forefront of transforming the Ad Tech industry through cutting-edge machine learning and AI-driven automation. By eliminating manual processes in digital ad creation, optimization, and measurement, we build autonomous, scalable systems that process hundreds of millions of events daily.
 
We are seeking an exceptional Staff Applied Scientist to drive groundbreaking innovation in applied machine learning. In this role, you will lead end-to-end AI strategy, shape the applied science roadmap, and develop next-generation models in NLP, deep learning, and large-scale AI systems. Your expertise will push the boundaries of AI capabilities, delivering measurable business impact while fostering a research-driven, data-centric culture at Viant.
THE DAY-TO-DAY
  • Lead and Define AI Strategy - Set the vision for applied ML research and AI-driven decision-making across Viant's products and services.
  • Drive High-Impact Research - Conduct advanced research in NLP, RL, LLMs, and deep learning, publishing in top-tier conferences while applying findings to real-world production systems.
  • Architect and Deploy ML at Scale - Develop, optimize, and deploy high-throughput, low-latency ML models, collaborating with engineers to bring solutions into production.
  • Innovate in Generative AI & Causal ML - Explore novel AI techniques, such as LLMs, reinforcement learning, and causal inference, to enhance targeting, personalization, and attribution models.
  • Experimentation and Validation - Design, run, and analyze A/B experiments to test ML-driven strategies, ensuring data-driven decision-making.
  • Mentor and Influence - Provide technical leadership for a team of applied scientists and ML engineers, fostering a culture of innovation and excellence.
MUST HAVE
  • Experience: 4+ years of experience building and deploying machine learning models at scale.
  • Technical Leadership: Demonstrated ability to lead complex, high-ambiguity ML projects from research to production.
  • Academic & Industry Recognition: Masters + At least two peer-reviewed publications in deep learning, NLP, or a related AI domain or a PhD in Computer Science, Machine Learning, Statistics, or a related quantitative field.
  • Deep Expertise in ML & AI: Strong foundation in deep learning, NLP, generative AI, and causal inference.
  • Programming & Frameworks: Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch, LangChain, Llama Index).
  • Scalability & Cloud: Experience with distributed computing, cloud ML platforms (AWS, GCP, or Azure), and real-time AI inference.
GREAT TO HAVE
  • Industry Impact: Publications at top-tier ML/NLP conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, AAAI).
  • Ad Tech Expertise: Experience in digital advertising, real-time bidding, or audience modeling.
  • Generative AI Applications: Hands-on experience with LLMs and multimodal AI applications.
  • Optimization & Personalization: Strong background in reinforcement learning, dynamic pricing, or recommendation systems.
LIFE AT VIANT

Investing in our employee's professional growth is important to us, but so is investing in their well-being. That's why Viant was voted one of the best places to work and some of our favorite employee benefits include fully paid health insurance, paid parental leave and unlimited PTO and more. 

Base compensation range: $180,000 - $220,000
In accordance with California law, the range provided is Viant's reasonable estimate of the compensation for this role.  Final title and compensation for the position will be based on several factors including work experience and education.

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