9 deep learning engineer jobs at 9 companies in Bourne, MA
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Senior Machine Learning Engineer
Boston or Brooklyn
$170k-$205k/yr HybridFull Time
4+ YOE4+ years building and deploying production ML systems, deep expertise in an ML engineering area, strong Python development with testing and CI/CD, familiarity with clinical/EHR data, monitoring and model reliability, and strong communication.
Python, CI/CD, EHR
1mo
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Machine Learning and Generative AI Engineer, Digital Transformation
Boston, Massachusetts, United States
HybridFull Time
5+ YOEHands-on ML/GenAI lifecycle expertise; 5+ years post-secondary education or equivalent experience; 2–3 years software development with Python and SQL; 2–3 years deploying NLP/deep learning in cloud; experience with PyTorch/TensorFlow, LangChain/LangGraph, vector DBs, Spark/Kafka, and CI/CD.
Python, SQL, PyTorch, TensorFlow, LangChain, LangGraph, Qdrant, Pinecone, Weaviate, Spark, Kafka, Linux, AWS, GCP, Azure, Airflow, Prefect, Step Functions, CI/CD
1mo
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Machine Learning Scientist – Clinical Prediction
Boston or San Diego or United States
$148k-$186k/yr HybridFull Time
3+ YOEMS in chemistry/bio/chemical engineering or PhD/equivalent; 3+ years relevant experience; strong Python and deep-learning fine-tuning skills; clinical dataset experience; data science and engineering best practices; familiarity with Docker, CUDA, Kubernetes, and Weights & Biases.
Python, Docker, CUDA, Kubernetes, Weights & Biases, HPC
2mo
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Staff Machine Learning Engineer, ML Infrastructure
Boston, Massachusetts, United States
$184k-$269k/yr HybridFull Time
8+ YOE8+ years software/ML engineering; deep cloud ML infra on Kubernetes; Ray experience; AWS and Kafka; Python; staff-level technical leadership.
Ray, Kubernetes, KServe, Triton, vLLM, Kubeflow, Argo, AWS (EKS, S3, IAM), Kafka, CI/CD, infrastructure-as-code, Python, Go/C++/Rust (bonus)
20h
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Algorithm Engineer
Boston or New York City or Paris or United States
$150k-$170k/yr RemoteFull Time
5+ YOEMore than 4 years of machine learning and deep learning industry experience, preferably in regulated health fields, with DSP, statistics, PyTorch, software engineering, testing, deployment, and documentation experience.
PyTorch, Transformer, ViT, Docker, CI/CD
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Senior AI Engineer
Chicago or Miami or New York City or Oakbrook Terrace or Nashville or South Bend or Tampa or Atlanta or Boston or Dallas or Houston or Grand Rapids or Austin or Charlotte or Indianapolis
$74k-$148k/yr OnsiteFull Time
4+ YOE4–6 years AI/ML engineering; strong Python, cloud, distributed systems; deep learning frameworks; VMs and containerization; experience with LLMs and vector databases; travel up to 80%
Python, ML frameworks, AWS, Azure, Google Cloud, Docker, Kubernetes, Terraform, SageMaker, Vertex AI, Azure ML, GPU/accelerator workflows, PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, Pinecone, Weaviate, FAISS, OpenAI API, Azure OpenAI, Gemini, PEFT, LoRA, QLoRA, Power Platform, APIs, SDKs
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Principal Engineer
Boston or Las Vegas or Pittsburgh or United States
$240k-$330k/yr RemoteFull Time
Advanced degree or equivalent experience in CS or related field; leadership on large technical initiatives; experience with deep learning (TensorFlow/PyTorch), Python, ML for autonomous systems, and production deployment.
TensorFlow, PyTorch, Python, C++, CUDA
3d
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Principal AI/ML Research Engineer
United States or California or San Jose or Seattle or Portland or Boston or Chicago
$250k-$289k/yr RemoteFull Time
12+ YOE12+ years in software or ML engineering, including 5+ years in applied AI/ML research. Requires advanced expertise in model architecture, algorithms, Python, deep learning frameworks, distributed AI, cloud, and ML platforms.
Python, PyTorch, TensorFlow, JAX, C++, Java, Ray, DeepSpeed, Megatron, Spark, AWS, Azure, SageMaker, MLflow, Databricks, LanceDB, Pinecone, Qdrant, Milvus, Transformer, Tabular Transformers, LLMs, RAG, LoRA, PEFT, Diffusion, Reinforcement Learning, RLHF, NeurIPS, ICML, KDD, ACL
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ML Research Engineer / Scientist (Boston, hybrid)
Boston, Massachusetts, United States
HybridFull Time
Experience building and training deep learning models (PyTorch), designing and running experiments, distributed training, strong understanding of architectures and losses, rigor and reproducibility; authorized to work in the U.S.
PyTorch, DICOM, CheXpert, Kaggle