Job Description

Locations

• Culver City, California, United States 90232
• Cupertino, California, United States 95014
• San Diego, California, United States 92128
• Seattle, Washington, United States 98117

Salary

Skills Required

• statistical modelingintermediate
• machine learningintermediate
• AI framework developmentintermediate
• building scalable ML and AI solutionsintermediate
• designing machine learning and AI modelsintermediate
• developing machine learning and AI modelsintermediate
• implementing machine learning and AI modelsintermediate
• building end-to-end ML pipelinesintermediate
• developing AI toolsintermediate
• developing APIsintermediate
• problem-solvingintermediate
• interpersonal skillsintermediate
• collaborationintermediate

Required Qualifications

• PhD in Statistics, Computer Science, Mathematics, or a related quantitative field with 1+ year of relevant experience; or MS with 4+ years of experience in applied machine learning, statistical modeling, or AI development. (experience, 1 years)
• 1+ years experience and programming proficiency with Python. Alternatively, we may consider C/C+, Java, etc. (experience, 1 years)
• 1+ years experience and working proficiency with distributed systems: Hadoop, Spark, etc. (experience, 1 years)
• 1+ years experience and working proficiency with statistical modeling and machine learning algorithms for supervised and unsupervised learning, including classification, regression, clustering, etc. (experience, 1 years)
• Working familiarity with causal inference models. (experience)
• Working familiarity with deep learning algorithms: CNN/RNN/LSTM/Transformer, etc, and deep learning frameworks like TensorFlow or PyTorch. (experience)
• Knowledge of model evaluation, validation techniques, and performance metrics. (experience)
• Ability to translate research ideas into scalable, production-level ML/AI solutions. (experience)
• Excellent analytical, communication, and collaboration skills across multi-functional teams. (experience)
• Hands-on experience in programming and implementing ML/AI models in Python or similar languages. (experience)
• Experience in building and maintaining machine learning pipelines, including data preprocessing, model training, and deployment. (experience)
• Demonstrated ability to develop and apply statistical and machine learning models for prediction, optimization, or causal analysis. (experience)
• Experience developing AI tools, frameworks, or APIs to support model deployment or LLM-based applications. (experience)

Preferred Qualifications

• Experience with LLM fine-tuning, prompt engineering, or retrieval-augmented generation (RAG). (experience)
• Familiarity with generative AI techniques (e.g., diffusion models, transformer architectures). (experience)
• Experience building scalable ML systems using cloud platforms (AWS, GCP, or Azure) and ML Ops tools (e.g., SageMaker, Vertex AI, MLflow). (experience)
• Understanding of data engineering and feature pipeline automation. (experience)
• Experience developing or contributing to AI frameworks, APIs, or internal tools used by other teams. (experience)
• Strong software engineering practices, including version control, testing, and code review. (experience)
• Familiarity with cross-domain applications of AI/ML (e.g., marketing analytics, personalization, recommendation systems). (experience)

Responsibilities

• The Applied Scientist will work on designing, developing, and implementing sophisticated machine learning and AI models to solve complex product, engineering, and business problems. The role involves building end-to-end ML pipelines, developing AI tools and APIs, and collaborating closely with engineering, product, and marketing partners to bring intelligent, data-driven, and AI-powered solutions into production. The ideal candidate combines deep technical expertise in machine learning, statistical modeling, and AI framework development with strong problem-solving and interpersonal skills, ensuring effective collaboration and measurable impact in a fast-paced environment.

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