4 quantitative software engineer jobs at 3 companies in Arizona

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Software Engineer (DoD Clearance Required)
Tucson, Arizona, United States
OnsiteFull Time
Synectic Solutions
Synectic Solutions: Provides engineering and logistics services to defense agencies.
8+ YOEU.S. citizen with active DoD SECRET clearance, Bachelor's in a quantitative field, 8+ years software engineering experience, programming and modern SDLC (Agile/DevOps/DevSecOps) experience, strong technical assessment and communication skills.
agile, DEVOPS/DEVSECOPS
1mo
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Associate Engineer, Analytical AI Engineering
Princeton or Phoenix or Los Angeles County or Puerto Rico or United States
$81k-$98k/yr OnsiteFull Time
Bristol Myers Squibb
Bristol Myers SquibbNew York Stock Exchange: BMY: Develops and distributes innovative medicines for serious diseases.
0+ YOEBA/BS required (quantitative or engineering preferred). 0-2 years experience in data/software/ML engineering. Proficiency in Python and SQL, Git, testing practices, cloud exposure (AWS, Microsoft Azure, Databricks), and familiarity with ML workflows.
Python, SQL, Git, AWS, Microsoft Azure, Databricks
2mo
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AI Engineer/ML Engineer - Senior Developers - AI Training - Tucson, US
Tucson or United States
$80/hr RemoteContract
Prolific
Prolific: Platform connecting researchers and AI developers with verified participants.
BS/MS/PhD in CS/AI/Robotics or related quantitative field; production ML experience; deep learning mastery (Transformers, CNNs, RNNs); LLM workflows (Prompt Engineering, RLHF, RAG); strong analytical critique and auditing skills.
PyTorch, TensorFlow/Keras, Python, NumPy, Pandas, Scikit-learn, Hugging Face Transformers, AWS (SageMaker), Google Cloud (Vertex AI), Weights & Biases, LangChain, Pinecone, Milvus, Weaviate
2mo
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AI Engineer/ML Engineer - Senior Developers - AI Training - Mesa, US
Mesa, Arizona, United States
$80/hr RemoteContract, Part Time
Prolific
Prolific: Platform connecting researchers and AI developers with verified participants.
BS/MS/PhD in CS/AI/Robotics or quantitative field; production ML model experience; deep learning and LLM expertise (prompting, RLHF, RAG); ability to audit models, spot hallucinations, and critique outputs.
PyTorch, TensorFlow, Keras, Python, NumPy, Pandas, Scikit-learn, Hugging Face Transformers, AWS, SageMaker, Google Cloud, Vertex AI, Weights & Biases, LangChain, Pinecone, Milvus, Weaviate