526 ml software engineer jobs at 261 companies in Yonkers, NY
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Vice President, AI / ML Software Engineer
New York, New York, United States
$83k-$209k/yrOnsiteFull Time
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.
Grow Therapy: Platform connecting mental health providers with patients and insurance.
Proven experience designing and building real-time ML systems and infrastructure (feature stores, real-time serving, deployment safety, monitoring). Strong backend engineering, Terraform experience, technical leadership, and cross-team partnership.
Mirage: AI platform for automated video creation and professional editing.
5+ YOE5+ years experience building ML/agentic systems, expertise in context engineering (RAG, token optimization), evaluation systems, and production-quality agent infrastructure.
Alliance: An accelerator and investor that supports crypto and AI founders and startups.
Senior ML engineer with strong Python and applied ML experience, able to build production systems, work with LLMs, and collaborate with stakeholders; must be NYC-based or willing to relocate.
Software Development Engineer, ML Systems, Annapurna Labs
New York, New York, United States
$158k-$214k/yrOnsiteFull Time
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
3+ YOE3+ years software development, 2+ years design/architecture, strong CS fundamentals, experience with ML compilers/GenAI/model optimization, and building production ML tooling.
New York or Europe or North America or South America
RemoteFull Time
DeweyLearn: AI-powered platform providing insights for educational teaching and learning.
7+ YOE7+ years software engineering experience with expert Python and ML/AI production experience, LLMs, Docker and CI/CD, YOLO knowledge, strong data science and communication skills.
Python, YOLO, Docker, CI/CD, Large Language Models (LLMs)
CognizantNasdaq: CTSH: Provides global information technology and business process outsourcing services.
Hands-on SageMaker and production ML experience, expert Python (scikit-learn,XGBoost,LightGBM,PyTorch,TensorFlow), strong SQL, MLOps and model-monitoring expertise.
CognizantNASDAQ: CTSH: Provides IT consulting and technology services to global enterprises.
Deep hands-on SageMaker experience, expert Python and SQL, production ML deployment, model monitoring and drift detection, MLOps/CI-CD, feature pipeline and feature store development.
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.
5+ YOEBachelor's or equivalent,5+ years software development in C++ or Python,3+ years testing/maintaining software,3+ years ML experience (sequence modeling, deep learning, NLP, RL) preferred ACLS not applicable,EMR not applicable.
Artian: Develops autonomous multi-agent AI systems for financial enterprise automation.
Senior Python engineer with production ML/LLM experience; strong system design, evaluation pipelines, and ability to mentor; independent, product-focused.
Python, LLM, NLP, Retrieval, Embeddings, Ranking, System Design
San Francisco or New York City or London or Sydney
$240k-$270k/yrOnsiteFull Time
Sigma Computing: Cloud-native analytics platform featuring a spreadsheet-style interface.
10+ YOEBachelor's in CS/Engineering/Math required; 10+ years building and deploying production-grade ML systems; deep ML/DL knowledge; full ML lifecycle experience; experience adapting/training foundation models.
Senior Lead Software Engineer - ML Engineer for Agent Platform
Jersey City or Tampa or Austin or Plano
$171k-$260k/yrOnsiteFull Time
JPMorgan ChaseNYSE: JPM: Global financial services firm providing banking and investment solutions.
5+ years applied software engineering experience; strong Python and Go/Rust; experience with runtimes, distributed systems, secure execution, LLM/agent systems, CI/CD, and cloud-native production deployments.
Trunk Tools: AI-powered productivity platform for construction field operations.
7+ YOE7+ years of experience building production ML/AI systems; leadership on complex projects; experience with agentic systems, knowledge graphs, and document processing pipelines; strong Python/Go skills; production systems expertise.
Linero: An AI-native, venture-backed creating software at the intersection of national security, industrial infrastructure, and enterprise AI.
4+ YOE4+ years in AI/ML engineering with production systems; fine-tuning LLMs for domain-specific tasks; building RAG systems; multi-agent orchestration; private, air-gapped environments; strong software engineering fundamentals.
Livingston or New York City or San Francisco or Sunnyvale or Bellevue
$182k-$242k/yrOnsiteFull Time
CoreWeaveNASDAQ: CRWV: Specialized cloud infrastructure provider for high-performance AI workloads.
Experienced front-end engineer with strong JavaScript/TypeScript and React skills, visualization and performance engineering experience for large datasets, familiarity with Canvas/WebGL or charting libraries, and strong communication and collaboration skills. Export-control eligibility (US person or eligible) required.
The Walt Disney CompanyNYSE: DIS: Produces movies, operates theme parks, and provides streaming services.
7+ YOE7+ years building production-grade data pipelines and distributed data systems; experience with streaming frameworks (Spark, Flink, Beam, Kafka Streams), SQL, cloud data platforms (AWS), Databricks, Snowflake, Airflow; proficiency in Python, Java, or Scala; Bachelor's/Master's in CS or related.
Rippling: Unified platform managing workforce HR, IT, and finance operations
8+ YOE8+ years software engineering experience with distributed systems, experience deploying and optimizing LLMs, strong backend skills in Python/Go/Java, and experience with cloud-native infrastructure (Kubernetes).