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Machine Learning Assistant Jobs in Riverside, CA

Viant Technology

Staff Applied Scientist

Irvine, CA · On-site

$180K - $220K/yr

WHAT YOU'LL DO Viant's Machine Learning team is at the forefront of transforming the Ad Tech ... assist the campaign, it delivers real results. Learn more at viantinc.com. Viant is an equal ...

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AI/ML Engineer (AWS)

Irvine, CA · Remote

$120K - $155K/yr

Create, evaluate, and deploy machine learning solutions, including applications powered by large ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Masimo

VP, Algorithm - AI

Irvine, CA · On-site

This role involves managing a high-performing team, driving innovation in AI and machine learning, and ensuring alignment with business and regulatory requirements. Responsibilities : • Lead and ...

Arch Telecom

AI Engineer

Irvine, CA · On-site

$130K - $140K/yr

Collaborate with cross-functional teams to integrate AI solutions into existing systems * Assist in ... Basic understanding of machine learning algorithms and model evaluation techniques * Familiarity ...

Masimo

VP, Algorithm - AI

Irvine, CA

$254K - $320K/yr

Drive innovation in machine learning, signal processing, and modeling to advance Masimo's monitoring technologies * Oversee the design, development, validation, and implementation of algorithms ...

Masimo

VP, Algorithm - AI

Irvine, CA · On-site

$254K - $320K/yr

Drive innovation in machine learning, signal processing, and modeling to advance Masimo's monitoring technologies * Oversee the design, development, validation, and implementation of algorithms ...

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How much do machine learning assistant jobs pay per hour?

As of May 29, 2026, the average hourly pay for machine learning assistant in Riverside, CA is $18.83, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $20.05 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Assistant, and why are they important?

To thrive as a Machine Learning Assistant, a solid background in mathematics, statistics, programming (often Python), and foundational knowledge of machine learning algorithms is essential, typically supported by a relevant degree or coursework. Familiarity with tools like TensorFlow, scikit-learn, Jupyter Notebooks, and version control systems such as Git is commonly required. Strong problem-solving abilities, attention to detail, and the capability to communicate findings effectively are standout soft skills in this role. These skills ensure accurate data analysis, effective model building, and successful collaboration within multidisciplinary teams.

What are some common challenges a Machine Learning Assistant may face when supporting data preparation and model training?

Machine Learning Assistants often encounter challenges such as cleaning large, unstructured datasets, identifying and handling missing or inconsistent data, and ensuring data privacy compliance. They also need to communicate effectively with data scientists and engineers to understand project requirements and adapt to evolving priorities. Staying organized and managing multiple tasks simultaneously—such as data preprocessing, feature engineering, and running model experiments—is crucial for success in this role.

What is a Machine Learning Assistant?

A Machine Learning Assistant is a professional who supports the development, implementation, and maintenance of machine learning models and systems. They assist data scientists and engineers by preparing datasets, conducting preliminary data analysis, running experiments, and helping to optimize algorithms. This role often involves coding, testing models, and ensuring the quality and reliability of machine learning solutions. Machine Learning Assistants play a key role in streamlining workflows and enabling faster progress in AI projects.
What are the most commonly searched types of Machine Learning jobs in Riverside, CA? The most popular types of Machine Learning jobs in Riverside, CA are:
What are popular job titles related to Machine Learning Assistant jobs in Riverside, CA? For Machine Learning Assistant jobs in Riverside, CA, the most frequently searched job titles are:
What cities near Riverside, CA are hiring for Machine Learning Assistant jobs? Cities near Riverside, CA with the most Machine Learning Assistant job openings:
Machine Learning Assistant jobs near you
Staff Applied Scientist

Staff Applied Scientist

Viant Technology

Irvine, CA • On-site

$180K - $220K/yr

Full-time

Medical, PTO

Posted 2 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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About Viant
Viant Technology (NASDAQ: DSP) is an exclusively buy-side, AI-powered advertising platform purpose-built for CTV. Viant uniquely combines proprietary content intelligence, household-level identity resolution, and person-level attention signals to connect advertisers with real customers and drive measurable outcomes across the open internet. Through its award-winning AI solutions, Viant is building the future of autonomous advertising, where AI doesn't just assist the campaign, it delivers real results. Learn more at viantinc.com.
Viant is an equal opportunity employer and makes employment decisions on the basis of merit. Viant prohibits unlawful discrimination against employees or applicants based on race (including traits historically associated with race, such as hair texture and protective hairstyles), religion, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, reproductive health decision making, gender, gender identity, gender expression, age, military status, veteran status, uniformed service member status, sexual orientation, transgender identity, citizenship status, pregnancy, or any other consideration made unlawful by federal, state, or local laws. Viant also prohibits unlawful discrimination based on the perception that anyone has any of those characteristics, or is associated with a person who has or is perceived as having any of those characteristics.
By clicking "Apply for this Job" and providing any information, I accept the Viant California Personnel Privacy Notice.

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