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Machine Learning Engineer Modeling Risk

New York,NY

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481 Machine Learning Engineer Modeling Risk jobs in New York,NY

New, Posted 1 hour ago
Recommended
Senior Machine Learning Engineer - Personalization

Disney Entertainment and ESPN Product & Technology Careers

New York, NY 10025

$148,700-$199,400/yr
New, Posted 1 hour ago
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Senior Applied Scientist, Entertainment Devices&Grocery Experiences (EDGE) Ads

Amazon.com Services LLC

New York, NY 10261

New, Posted 1 hour ago
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2nd Shift Industrial Mechanic

Quad Careers

Springfield, NJ 07081

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Refrigeration Service Technician - Commercial&Industrial

CoolSys

White Plains, NY 10606

~ 38 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • High school diploma or GED, equivalent work experience and trade or technical school classes.
  • Valid EPA certificate.
  • 3-5 year's experience in commercial HVAC, refrigeration, and electrical required.
  • Basic knowledge of refrigeration, HVAC, ice machines, gas furnaces, and electrical.
  • Knowledge and understanding of the functions for single/multipule unit systems, rack systems, parallel racks, and rack control units along with previous work and understanding on display cases and walk-in boxes.
  • Strong knowledge of open circuits on a rack compressor control circuit.
  • Knowledge of lock out/tag out and arc flash equipment.
  • Knowledge of a case lineup with electric defrost circuits.
  • Knowledge and ability to use an RS engineering sheet.
  • Knowledge of minimum DA/RA and SST requirements for FF/IC systems.
  • Ability to identify refrigeration floor plan symbols.
  • Ability to take readings of compressor parameters, compression ratios and repair deficiencies.
  • Knowledge of proper material handling techniques.
  • Knowledge of HVAC valve settings, preventative maintenance, how to locate leaks with a refrigerant leak detector, and report large refrigerant leaks.
  • Ability to demonstrate proper PPE and safety equipment.
  • Knowledge of level 2-3 experience/information.
  • Must be able to lift up to 60 lbs. with no assistance and be able to sit and/or stand for several hours at a time.
  • Valid driver's license.
  • Good driving record.
  • Ability to understand and follow all company policies and procedures and all applicable State and Federal laws.
  • Ability to use typical business tools including E-Mail, Word, Excel, etc.
  • Pre-employment background screening (criminal and MVR for driving positions) and drug testing are required for all positions.
SmartExplore AI is experimental.
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New, Posted 1 hour ago
Recommended
Principal Software Engineer

Disney Entertainment and ESPN Product & Technology Careers

New York, NY 10025

$197,400-$264,700/yr
New, Posted 1 hour ago
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Principal Quant Developer

Fidelity Investments

Jersey City, NJ 07311

~ 22 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in a computational field such as Computer Science
  • Minimum of 5 years of proven professional experience working in financial services (Asset Management experienced preferred)
  • Proven experience engaging with senior internal and external clients and partners
  • Experience with Python and micro-services / RESTful APIs
  • Experience working on AWS cloud environment and working knowledge of CI/CD & DevOps
  • Strong experience in system architecture, design patterns and software engineering fundamentals such as OOP, functional programming, data modeling.
  • Advanced understanding of data structures
  • Proven ability to capture requirements and formulate plans by partnering with various stakeholders
SmartExplore AI is experimental.
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New, Posted 18 hours ago
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Head of AI Data Science, Intelligence Ventures

Spectrum

New York, NY 10036

Onsite

  • Deep expertise in transformer-based sequence modeling and its application to behavioral or interaction data at consumer scale — including architecture design, training methodology, fine-tuning, and embedding quality evaluation
  • 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 — not just research environments. Demonstrated understanding of the unique characteristics of behavioral sequence data: sparsity, temporal dynamics, multi-entity structure, and the signal differences between behavioral intent and explicit interaction
  • Strong command of the full data science lifecycle in production settings — from exploratory data analysis and feature engineering through model training, validation, deployment, monitoring, and iteration — at large dataset scale (billions, even trillions of records)
  • 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; comfort operating as an external-facing technical spokesperson for the platform's modeling capabilities and intelligence differentiation
  • 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; awareness of the evolving landscape of foundation models, retrieval-augmented generation, and multi-agent AI architectures
  • Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related quantitative field
  • Experience leading applied ML or data science teams building consumer-facing or enterprise intelligence products — 7 years
  • Hands-on experience designing and training transformer or deep learning models on sequential behavioral data at scale — 5 years
  • In-office position preferably based in New York City
  • Travel as required for partner engagements, executive meetings, and industry events
SmartExplore AI is experimental.
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New, Posted 1 hour ago
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Applied Science Manager, Sponsored Products

Amazon.com Services LLC

New York, NY 10261

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Technical Customer Support Engineer, Tier 2

UVEye

Teaneck, NJ 07666

~ 20 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • 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 salary range listed is $75,000 - $90,000
SmartExplore AI is experimental.
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ResumeLibrary
Ride Operator

Six Flags

Old Bridge, NJ 08857

$16/hr
~ 54 min OnsiteFlexible Schedule

  • Must be 16 years or older
  • In rides you must be able to stand, walk, stoop, bend, and reach throughout your shift
  • Must be able to read and understand English
  • Able to work a flexible schedule, including weekends and holidays
SmartExplore AI is experimental.
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