2,932 software engineer ai ml jobs at 1,190 companies in United States
🚀PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yrOn-SiteFull Time
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.
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Help us build a 100× better job search engine. We need a full-stack engineer with great taste, sharp fundamentals, and a track record of shipping polished product on React/Next.js plus a real backend (Firebase, Elasticsearch, Redis, Stripe).
Ignite Fueling Innovation: Provides professional services and technical solutions for federal agencies.
Bachelor's in AI/ML, CS, data science, or related field; hands-on software dev; strong Python; ML concepts; cloud and CI/CD; security clearance required.
Curve Dental: Cloud-based all-in-one management software for dental practices.
5+ YOE5+ years professional software development, 2+ years building and deploying production AI applications; experience with Python, LLMs, RAG, vector databases, ML model lifecycle, and AI-assisted development tools.
Analog DevicesNASDAQ: ADI: Designs and manufactures semiconductors for signal processing and power management.
3+ YOEMaster's in a related technical field and 3+ years building and deploying AI/ML solutions; expertise in cloud platforms, Python and complementary languages, modern ML frameworks, containerization, databases, and software engineering best practices.
CACI InternationalNYSE: CACI: Provides information technology and engineering services for government agencies.
12+ YOETS/SCI with Polygraph required; 12+ years software development (10 with Master’s). Proficiency in Python, AI/ML model development, experience with large-scale datasets, Git, Jira, Confluence, Elasticsearch or Splunk.
Guidehouse: Provides management and technology consulting services to diverse organizations.
6+ YOEBachelor's degree, ability to obtain Public Trust, 6+ years hands-on experience with Python and JavaScript/TypeScript, proven experience building production AI/ML solutions (RAG, chatbots), graph analytics, NLP, entity resolution, and cloud deployment (AWS).
BNYNYSE: BK: Global institution managing and servicing financial assets worldwide.
6+ YOEBachelor's in CS/Engineering (advanced preferred), 6+ years software engineering, 2+ years production AI/ML, RAG and agent experience, Python (3.11+), FastAPI, embeddings, vector DBs, OCR/NLP, testing and API design skills.
UnitedHealth GroupNYSE: UNH: Provides health insurance and technology-enabled health care services.
6+ YOEBachelor's degree in CS or related,6+ years in software engineering/AI/ML/cloud,experience with generative/agentic AI and enterprise integration,Python,APIs,microservices,CI/CD,DevSecOps,AI governance knowledge.
iTradeNetwork: Provider of supply chain software for food and beverage.
Bachelor's in CS or equivalent experience; strong fundamentals in data structures, algorithms, and ML concepts; proficiency in Python, web development (React/Angular), SQL/NoSQL; experience integrating and deploying ML models.
Texas InstrumentsNASDAQ: TXN: Designs and manufactures semiconductors and integrated circuits.
5+ YOEBachelor's degree and 5+ years AI/ML experience; computer vision basics, generative AI/LLM exposure, database and data-pipeline knowledge, and strong software engineering practices with Python.
CACINYSE: CACI: Provides information technology and professional services to government clients.
12+ YOETS/SCI with polygraph; Bachelor's or Master’s in CS or related field; 12+ years software development; Python; AI/ML experience; large-data platforms; Git/Jira/Confluence; Elasticsearch or Splunk.
Booz Allen HamiltonNYSE: BAH: Consulting and technology services for government and commercial clients
2+ YOE2+ years in AI/ML or production AI/ML systems; 2+ years building RESTful APIs; Python experience; CI/CD and Git; TS/SCI clearance; BS in CS or STEM.
Sandstone: AI-native platform for in-house legal departments.
4+ YOE4+ years applied AI/ML or related engineering experience; experience shipping LLM-powered products (retrieval, agents, document understanding); strong software fundamentals, data pipeline and API experience; strong communication and product judgment.
WHOOP: Wearable technology for personalized health and performance tracking.
3+ YOE3+ years in applied ML/AI or ML-focused software engineering in production; experience with modern language models; data pipelines; AI system design; privacy-aware practices; strong collaboration.
Language models, fine-tuning, dataset design, evaluation harnesses, observability, data pipelines, offline/online evaluation, model deployment
ParsonsNYSE: PSN: Provides engineering and technology services for infrastructure and defense.
3+ YOEActive Secret clearance, Bachelors in CS/Data Science/ML, 3+ years building and deploying AI/ML models, proficiency with Python, cloud platforms, AI/ML frameworks, and secure model deployment.
Tata Consultancy ServicesNational Stock Exchange of India: TCS: Global provider of IT services, consulting, and business solutions.
5+ YOE5+ years in ML/Data/AI engineering, strong Python and SQL, experience with LLMs and agent frameworks, MLflow/Azure ML/SageMaker/Kubeflow deployment experience, Spark/Databricks data pipelines, and container/orchestration skills.
Seattle or Nashville or Santa Clara or Austin or United States
OnsiteFull Time
OracleNYSE: ORCL: Provides cloud infrastructure and enterprise software for global businesses.
6+ YOE6+ years software engineering experience; degree in CS/AI/Engineering or equivalent; deep distributed systems and AI/ML platform experience; strong Python, Kubernetes, Docker skills; experience with LLMs, orchestration frameworks, SLIs/SLOs, and operational readiness.
Future Works: Building AI-powered operational systems for enterprise digital transformation.
4+ YOE4+ years software/ML engineering, production LLM or agent experience, Python and data-pipeline skills, document processing and NLP, agent tooling and prompt engineering, financial analytics experience preferred.