3 junior machine learning engineer jobs at 2 companies in Townsend, DE

PromotedHiringCafe
ML Engineer - Inference & Model Deployment
Cupertino, CA, US
$250k-$310k/yr On-SiteFull Time
HiringCafe
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Turn powerful AI and ML models into fast, reliable production systems. Own inference latency, throughput, model-serving architecture, multi-GPU systems, and production deployment for millions of users.
Python, PyTorch, vLLM, SGLang, TensorRT, LLMs
PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yr On-SiteFull Time
HiringCafe
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
Python, PyTorch, Elasticsearch, LLMs
6d
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Machine Learning Engineer 3- 7882
Philadelphia, Pennsylvania, United States
RemoteFull Time
Comcast
ComcastNASDAQ: CMCSA: Provides global telecommunications, media content, and entertainment services.
1+ YOEMaster's in CS/Engineering/Data Science or related plus 1 year ML experience (tree-based models, linear/logistic regression), scikit-learn, Python, Git, SQL, Spark or TensorFlow; 6 months time-series forecasting.
scikit-learn, TensorFlow, Python, Git, SQL, Spark
2d
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Data Scientist
Philadelphia, Pennsylvania, United States
OnsiteFull Time
Comcast
ComcastNASDAQ: CMCSA: Provides global telecommunications, media content, and entertainment services.
2+ YOEMaster's preferred, 2+ years data science experience, skills in statistical methods, machine learning, data engineering, analysis, and clear presentation; able to work variable nights and weekends.
3w
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Postdoctoral Fellow in the Vision and Image Understanding (VIU) Lab
Baltimore, Maryland, United States
$63k-$100k/yr OnsiteFull Time
Johns Hopkins University
Johns Hopkins University: Private research university providing higher education and medical services.
Doctoral degree in electrical engineering, computer science, or related field; expertise in multimodal AI, large language models (LLMs), diffusion/generative models, image & video synthesis, computer vision, and machine learning; strong collaboration and research skills.
LLMs, diffusion/generative models