4677 Ai Algorithm Engineer jobs in New York,NY

Google CES Engineer

ConEdison Solutions

New York, NY 10025

Sia Partners

New York, NY 10025

Geico - Government Employees Insurance Company

New York, NY 10025

Spectrum

New York, NY 10036

Deep expertise in transformer-based sequence modeling and its application to behavioral or interaction data at consumer scale
Proven track record developing and deploying household- or user-level embedding models applied to real-world use cases in media, marketing, commerce, and/or customer intelligence
Strong command of the full data science lifecycle in production settings
Hands-on proficiency with Python, PyTorch or TensorFlow, and distributed ML training frameworks; experience running ML workloads on cloud platforms (AWS SageMaker, Snowflake Cortex, Databricks, or equivalent)
Experience designing and operationalizing feature stores and predictive modeling pipelines that serve downstream intelligence products, audiences, or decision systems in production environments
Ability to communicate complex AI/ML concepts clearly to non-technical executive audiences, product stakeholders, and external partners
Track record of leading and growing high-performing data science teams; experience recruiting and developing senior ML talent in competitive markets
Genuine intellectual curiosity about the application of AI to behavioral science, consumer intelligence, and agentic systems
Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related quantitative field

Amazon

Jersey City, NJ 07305

Data Annotation

Staten Island, NY 10301

UVEye

Teaneck, NJ 07666

3+ years of experience in Tier II support, systems administration, or QA engineering
Bachelor's degree in Computer Science or a related field
Proficiency with Linux, Docker, and Kubernetes
Strong troubleshooting skills across hardware and software domains
Hands-on experience with hardware setup, installation, and calibration
Solid understanding of networking (TCP/IP, HTTP, DNS, DHCP)
Experience with cloud platforms like AWS, Azure, or GCP
Familiarity with networking equipment (switches, routers, firewalls, load balancers)
Comfortable using tools like Zendesk, JIRA, and Confluence
Able to work independently and manage multiple priorities under pressure
This role may involve on-site or field-based activities
The role may also require travel
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions