Canada or San Francisco or Austin or Denver or Seattle or Boston
RemoteFull Time
MaintainX: Modern maintenance and asset management software platform.
7+ YOE7+ years in machine learning, data science, or applied AI; expertise in Python, PyTorch, TensorFlow, cloud ML, production systems, LLMs, time-series modeling, anomaly detection, and MLOps.
San Francisco or Palo Alto or Seattle or United States
$139k-$286k/yrRemoteFull Time
PinterestNYSE: PINS: A visual discovery engine for finding inspiration.
2+ YOE2+ years applying machine learning; hands-on experience building data pipelines, large-scale ML systems, and big data technologies; bachelor's degree or equivalent experience.
Disney EntertainmentNYSE: DIS: Entertainment is a media division producing and distributing film, television, streaming, and games for global audiences.
7+ YOE7+ years building and deploying ML models, strong background in recommender systems, applied ML/AI/LLM experience, proficiency with PyTorch, TensorFlow, Databricks, Spark, and SQL, strong communication skills.
TikTok: Short-form mobile video and social media platform.
Bachelor's in CS or related, strong programming (C++/Python), applied ML experience in recommendation/CTR models, familiarity with collaborative filtering and deep learning, experience with TensorFlow or PyTorch.
Staff Machine Learning Engineer (Modeling), Support
Seattle or California
$189k-$284k/yrRemoteFull Time
TBDNYSE: XYZ: Financial technology powering commerce and digital payments.
10+ YOE10+ years in applied ML/AI with leadership experience; proven production experience with language models, dialog systems, RAG/fine-tuning, and end-to-end ML delivery; strong NLP/deep learning skills and cross-functional communication.
San Francisco or Sunnyvale or Los Angeles or Seattle or New York City
$204k-$299k/yrOnsiteFull Time
DoorDashNYSE: DASH: Technology enabling local on-demand delivery and commerce.
Requires deep causal inference, econometrics, experimentation, or causal ML experience; production ML engineering ability; rigorous model evaluation; and cross-functional product and technical judgment.
San Francisco or Sunnyvale or Los Angeles or Seattle or New York City
$204k-$299k/yrOnsiteFull Time
DoorDashNYSE: DASH: Technology enabling local on-demand delivery and commerce.
Requires deep practical causal inference, econometrics, experimentation, or causal ML experience; production ML engineering; rigorous model evaluation; and cross-functional product and marketplace decision-making skills.
Senior Deep Learning Engineering - Autonomous Vehicles
Santa Clara or Redmond
$224k-$357k/yrOnsiteFull Time
NVIDIANASDAQ: NVDA: Computing platform for AI and accelerated graphics.
10+ YOEMaster’s or PhD in a relevant engineering or computer science field, 10+ years in deep or applied machine learning, and expertise with LLMs, VLMs, PyTorch, transformers, and Python.
Large Language Models (LLMs), Vision-Language Models (VLMs), PyTorch, Python, Qwen, vLLM, SGLang, SFT, DPO, GRPO
Applied Scientist II, Central Learning Solutions Science
Bellevue, Washington, United States
$143k-$193k/yrOnsiteFull Time
AmazonNASDAQ: AMZN: Multinational technology focused on e-commerce and cloud computing.
3+ YOERequires 3+ years building models for business applications and a PhD or master's plus 4+ years in computer science, computer engineering, machine learning, or related fields. Requires programming and research publication or patent experience.
Java, C++, Python, MxNet, TensorFlow, Large Language Model (LLM)
GEICO: A leading provider of auto and property insurance.
4+ YOE4+ years of software engineering or applied machine learning experience, including 1+ year with production Generative AI or LLM systems; Python, AI frameworks, distributed systems, and scalable production delivery required.
MicrosoftNASDAQ: MSFT: Multinational technology providing software, cloud, and AI solutions.
3+ YOEExperience in machine learning and generative modeling, hands-on LLM work, prompt engineering, large-scale data handling, and programming in Python/C#/R/C++/Java/SQL; degree in related field with 3+ years experience (alternatives listed).
Anthropic: AI research developing safe and steerable AI systems.
8+ YOE8+ years in Field CTO, Solutions Architect, Sales Engineer, or Product Manager roles; hands-on building experience; enterprise account expertise; scalable cloud architecture experience; and familiarity with LLM tools or machine learning.