The Walt Disney CompanyNYSE: DIS: Produces media content and operates global theme parks.
5+ YOE5+ years building/operating large-scale data or ML systems; strong distributed-systems fundamentals; experience with Kafka/Kinesis/Spark/Flink; proficiency in Python and familiarity with Java, Scala, Go, C++; cloud-native (AWS, Kubernetes); Bachelor’s/Master’s in related field.
ParamountNASDAQ: PSKY: Produces and distributes media content across global entertainment platforms.
Requires 6–8+ years in ML infrastructure, platform, or high-scale backend engineering; Kubernetes, serving frameworks, GPU architecture, CUDA, and technical leadership. Python and C++ preferred.
Capital Group: Providing active investment management and research-driven financial strategies
3+ YOE3+ years experience with Python and SQL, strong CS fundamentals, experience delivering production ML systems, knowledge of ML subfields (time series, quantitative modeling, etc.), AWS services preferred, strong communication.
Prodege: Marketing and consumer insights platform powered by loyalty programs.
6+ YOE6+ years experience in ML/Software/MLOps, 3+ years deploying production ML systems; strong ML, MLOps, experimentation, and software engineering skills; mentoring experience.
Hadrian: Building autonomous factories for aerospace and defense manufacturing.
5+ YOE5-8 years building and shipping computer vision detection/segmentation models; expertise with transformer backbones; strong Python and PyTorch; production deployment ownership; MS/PhD preferred.
Pasadena or San Francisco or Washington or United States
HybridFull Time
Primer: Provides AI-powered data analysis software for national security.
6+ YOE6+ years building production backend and ML-driven systems; experience with LLMs, agentic systems, retrieval/RAG, evals, PyTorch, Python; BS/MS/PhD or equivalent.
San Jose or Los Angeles or Singapore or New York City or London or Dublin or Paris or Berlin or Dubai or Jakarta or Seoul or Tokyo
$128k-$317k/yrOnsiteFull Time
TikTok: Global short-form video hosting and social media platform.
Bachelor's degree in computer science or related field, machine learning fundamentals, data structures and algorithms, and proficiency in Python, C++, Go, or Java.
Motorola SolutionsNYSE: MSI: Provides mission-critical communications and public safety technology.
4+ YOEBachelor's degree with 4+ years as an ML engineer; 2+ years of Python and PyTorch or TensorFlow; U.S. citizen able to obtain security clearance; strong math, ML, signal processing, and communication skills.
Python, PyTorch, TensorFlow, Software Defined Radio (SDR), Linux, Docker, Kubernetes, Jira, Microsoft Azure, Microsoft Azure DevOps, AWS
The Walt Disney CompanyNYSE: DIS: Produces movies, operates theme parks, and provides streaming services.
7+ YOEBachelor’s in CS or related (or equivalent experience), 7+ years software engineering, 5+ years deploying ML systems, expertise in deep learning/statistics, experience with Spark, Databricks, AWS services, Kafka/Kinesis, Datadog, REST, and leadership/mentoring skills.
5+ YOE5+ years post-Bachelor’s ML experience (or equivalent with advanced degree), strong ML knowledge, experience building/deploying large-scale ML systems, familiarity with ranking/recommendation/search/image ML, strong collaboration and mentorship skills.
Palo Alto or Seattle or San Francisco or Los Angeles or New York City or Bellevue
$147k-$259k/yrOnsiteFull Time
SnapNYSE: SNAP: Develops social media applications and augmented reality technology.
3+ YOE3+ years post-Bachelor’s ML experience (or advanced degree + experience). Experience building and deploying ML models for ranking/recommendation/search, strong ML fundamentals, collaboration, mentorship, and ability to use AI tools and production ML workflows.
Machine Learning Engineer Graduate (Recommendations and Search) - 2027 Start
Seattle or Bellevue or Los Angeles County
$100k-$178k/yrOnsiteFull Time
TikTok USDS Joint Venture: Operates and secures TikTok services for U.S. users.
Bachelor's or master's degree in computer science, engineering, mathematics, statistics, or related field; knowledge of data structures, algorithms, systems, software design, and machine learning.
New York City or Seattle or Los Angeles or Los Gatos
$466k-$750k/yrOnsiteFull Time
NetflixNASDAQ: NFLX: Provider of global streaming entertainment and video content.
7+ YOE7+ years software engineering experience with 3+ years on ML infrastructure or model serving; proficiency in Java, Python, or Scala; experience building high‑QPS, low‑latency model serving, feature serving, and model monitoring.
NetflixNASDAQ: NFLX: Global video streaming and media production service.
7+ YOE7+ years software engineering; 3+ years ML infrastructure, model serving, or ML platform experience in ads/real-time decisioning; real-time model serving with sub-20ms latency; proficiency in Java, Python, or Scala; experience with ML serving frameworks and real-time feature pipelines; strong model monitoring and production readiness.
Java, Python, Scala, ML serving frameworks, feature stores, model registries
Esri: Global leader in geographic information system (GIS) software.
3+ YOE3+ years Python and SQL experience, ML for time series/quantitative modeling, full-stack ML (ETL→training→deployment), strong CS fundamentals, backtesting/quant finance or high-performance computing, AWS experience preferred.
Clera: AI talent agent matching professionals with high-growth startup roles
8+ YOE8+ years ML engineering experience in healthcare with HIPAA-compliant systems, end-to-end ML lifecycle ownership, MLOps, cloud and container experience.
Niagara Bottling: Manufactures and distributes private label bottled water and beverages.
5+ YOEBachelor's in a quantitative field required (Master/PhD preferred); strong Python and ML framework experience (PyTorch/TensorFlow); production MLOps, cloud, and industrial data experience; preferred 5+ years in ML/industrial AI.
8+ YOEPhD (8+ yrs) or MS (10+ yrs) in a relevant technical field; 8+ years designing, building, and deploying ML/DL/Gen-AI models; hands-on experience with production ML/LLM ops, scalable systems, and leading technical teams.