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4547 Software Engineer Engineering jobs in Jersey City,NJ

Sr Software Engineer

Disney Entertainment and ESPN Product & Technology Careers

New York, NY 10025

$148,700-$199,400/yr

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Assembler - Hiring Now

Mirion Technologies

Florham Park, NJ 07932

~ 36 min Onsite

High school diploma/GED required
Must be mechanically inclined -good intuition, strong dexterity, excellent hand-eye coordination and experience with hand tools and basic power tools.
Ability to read blueprints and drawings and follow directions required.
Must be highly organized and attentive to detail, with ability to work under time constraints.
Good understanding of quality principles and math.
Strong verbal communication skills needed.
Must be able to respond to others and ask questions appropriately.
Ability to read and interpret information.
Must be professional and accountable. Accepts responsibility for own actions. Applies feedback to improve performance.
Must be able to lift - up to 100 Lbs.
Employee is required to stand; walk; bend; use hands to handle, feel, reach; use arms to lift and reach, be able to talk and hear.
The employee must frequently lift up to 100 lbs.
Specific vision abilities include close, distance and color vision, along with depth perception and ability to adjust focus.

SmartExplore AI is experimental.

Sr. Manager, Machine Learning Engineering

Disney Entertainment Television Careers

New York, NY 10025

$217,300-$270,000/yr

New, Posted 1 day ago

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Automation Operator

Disney

New York, NY 10001

New, Posted 1 day ago

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Data Science Intern (Summer 2026)

Hone Health

New York, NY 10261

$25/hr

New, Posted 1 day ago

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ReactJS Developer (Remote)

TEKsystems

New York, NY 10261

$70-$85/hr

Remote

New, Posted 1 day ago

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Machine Learning Engineer

Codertal

Union, NJ 07083

Flexible Schedule

New, Posted 1 day ago

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Remote AI Coding Evaluator (Contract)

YO IT CONSULTING

New York, NY 10261

Remote

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Head of Technology, Intelligence Ventures

Spectrum

New York, NY 10036

~ 25 min OnsiteUrgently Hiring

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

SmartExplore AI is experimental.

New, Posted 1 day ago

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