AdTechTalent
Data Science232 days agoOn-site

Viant Technology

Staff Applied Scientist

machine learningdeep learningNLPgenerative AIcausal inferencereinforcement learningLLMsPythonTensorFlowPyTorchLangChainLlama IndexAWSGCPAzuread techAI strategydata science

Key details

Salary

$180K – $220K

Employment type

Full-time

Seniority

Senior

Years experience

3-5

Location

Irvine, California, United States; Los Angeles, California, United States

Full job description

Viant is seeking a Staff Applied Scientist to lead AI strategy and develop advanced machine learning models in NLP, deep learning, and large-scale AI systems. The role involves conducting research, deploying scalable ML models, innovating with generative AI and causal ML, designing A/B experiments, and mentoring a team. Requirements include 4+ years of ML experience, leadership skills, a Masters or PhD with publications, expertise in deep learning, NLP, generative AI, causal inference, proficiency in Python and ML frameworks (TensorFlow, PyTorch, LangChain, Llama Index), and experience with cloud ML platforms (AWS, GCP, Azure). Benefits include fully paid health insurance, paid parental leave, and unlimited PTO. Salary range is $180,000 to $220,000. Locations: Irvine, California and Los Angeles, California.

What you'll do

  • Lead and define AI strategy for applied ML research and AI-driven decision-making across products and services
  • Conduct advanced research in NLP, reinforcement learning, large language models, and deep learning, publishing in top-tier conferences and applying findings to production systems
  • Develop, optimize, and deploy high-throughput, low-latency ML models collaborating with engineers
  • Explore novel AI techniques such as LLMs, reinforcement learning, and causal inference to enhance targeting, personalization, and attribution models
  • Design, run, and analyze A/B experiments to test ML-driven strategies
  • Provide technical leadership and mentorship to a team of applied scientists and ML engineers

Requirements

  • 4+ years of experience building and deploying machine learning models at scale
  • Demonstrated ability to lead complex, high-ambiguity ML projects from research to production
  • Masters degree plus at least two peer-reviewed publications in deep learning, NLP, or related AI domain or a PhD in Computer Science, Machine Learning, Statistics, or related quantitative field
  • Strong foundation in deep learning, NLP, generative AI, and causal inference
  • Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch, LangChain, Llama Index)
  • Experience with distributed computing, cloud ML platforms (AWS, GCP, or Azure), and real-time AI inference

Tech stack

PythonTensorFlowPyTorchLangChainLlama IndexAWSGCPAzure

Benefits

Fully paid health insurancePaid parental leaveUnlimited PTO

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