877 Machine Learning Engineer jobs in Yonkers,NY

Machine Learning Engineer

Capital One

New York, NY 10001

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Sr Machine Learning Engineer

Optimum Communications

Long Island City, NY 11101

$156,774-$198,273/yr

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Machine Maintenance Engineer Manager

Adecco

Garden City, NY 11530

$120,000-$140,000/yr

~ 43 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree required.
5–10 years of experience in manufacturing maintenance or equivalent training.
Background in general maintenance of manufacturing machines and process equipment (automated systems, chillers, air compressors, hydraulics, pneumatics).
Proficiency with hand and power tools.
Ability to lift 50 lbs.
Active role requiring standing, walking, bending, kneeling, stooping, crouching, crawling, and climbing throughout the day.

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Software Engineering/Applications Leadership Advisory - Executive Technology Services for Global Enterprises

Gartner

Newark, NJ 07175

New, Posted just now

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Equipment Operator- 1st Shift

CVS Health

Jersey City, NJ 07306

~ 35 min Onsite

High School Diploma or GED required.
Must be at least 18 years old.
Ability to obtain and maintain certification on warehouse powered equipment.
Maintain required certifications for wire‑guided power equipment and radio‑frequency unit use.
Ability to read, write, and count accurately.
Ability to lift 30–50 lbs regularly and up to 75 lbs with team lift.
Reliable attendance and ability to work overtime or weekends during peak periods.

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Head of Technology, Intelligence Ventures

Spectrum

New York, NY 10036

~ 24 min Onsite

Deep expertise across the full intelligence platform stack — including distributed data pipelines, ML platform architecture, embedding systems, feature stores, agent-to-agent API design, and LLM-powered application layers — with demonstrated ability to architect and ship all layers as a coherent, production-grade product
Demonstrated experience architecting and operating consumer data intelligence or data product platforms underpinned by complex machine learning systems and built on modern, cloud-native data infrastructure
Hands-on proficiency with Snowflake (including Cortex, Native Apps, and data sharing frameworks), cloud data platforms (AWS, Azure, or GCP), and production ML/AI systems at scale
Experience building agentic AI systems and LLM-powered product interfaces — including agent-to-agent APIs, retrieval-augmented generation architectures, and natural language UIs grounded in proprietary data — with strong product instincts around accuracy, trust, and user experience for non-technical enterprise audiences
Proven ability to translate complex technical architecture into clear executive and partner-facing communications; comfortable engaging at the C-suite level and in strategic partner negotiations with hyperscalers and technology platforms
Strong understanding of privacy-preserving data architecture, including differential privacy, de-identification techniques, zero-copy and clean room frameworks, and the regulatory landscape governing consumer behavioral data
Track record of recruiting and developing exceptional engineering talent in competitive markets; experience building high-performance teams from early-stage through scaled operations
Experience managing external development partners and outsourced engineering resources alongside an internal team in a fast-moving, build-from-scratch environment
Ability to operate in an ambiguous, early-stage environment while maintaining rigorous engineering standards and delivering against aggressive milestones
Experience building externally-consumed data or intelligence platforms — including developer-facing APIs, data marketplace integrations, or partner-accessible data products — with strong instincts around developer experience, access governance, and commercial platform design
Bachelor's Degree in Computer Science, Software Engineering, Electrical Engineering, or a related technical field
Experience leading consumer data intelligence, AI/ML platform, or data product engineering organizations — 10 years
Engineering leadership and team-building experience, including managing senior technical staff — 7 years

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