544 Machine Learning Engineer Ad Platforms jobs in New York,NY

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Machine Learning Engineer

Capital One - New York, NY

Machine Learning Engineer

New, Posted 1 day ago

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Senior Applied Scientist, Entertainment Devices & Grocery Experiences (EDGE) Ads

Amazon.com Services LLC

New York, NY 10261

OnsiteHealth InsurancePaid Time OffRetirement Benefit

5+ years of building machine learning models for business application experience
PhD, or Master's degree and 6+ years of applied research experience
Experience programming in Java, C++, Python or related language
Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)

SmartExplore AI is experimental.

New, Posted 2 hours ago

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Process Engineer – STEM (Electrochemical Machining)

GE Vernova

Parsippany, NJ 07054

~ 45 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in chemical engineering with 6 years of relevant engineering experience (manufacturing, process development, or oil & gas/chemical process engineering), including demonstrated ownership of complex processes or production lines
High School diploma and 10 years' experience (manufacturing, process development, or oil & gas/chemical process engineering), including demonstrated ownership of complex processes or production lines
Proven experience leading PHA/PSM activities and using P&IDs; for process design and troubleshooting.
Advanced proficiency with statistical methods and Design of Experiments (DOE)/ Statistical Process Control (SPC); ability to set capability targets and deliver measurable improvements.
This role requires use of technical data subject to U.S. Government export restrictions and this posting is only for U.S. Persons (U.S. Citizens, lawful permanent residents and protected individuals (e.g., certain refugees and asylees)). GE will require proof of status prior to employment
This is a 100% onsite position.
Intermittent travel approximately 1-2 times a month to Allentown, PA and/or other sites as needed.
Must be able for work occasional off shift/weekend support as required to support a 3-shift operation.
This role requires access to U.S. export-controlled information. If applicable, final offers will be contingent on ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government.

SmartExplore AI is experimental.

New, Posted 1 day ago

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iHire

AI Engineer

Capital One

New York, NY 10001

New, Posted 1 day ago

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Backend Software Engineer

Neptune Flood

Manhattan, NY 10025

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Salesforce Developer (Fundraising)

New York Presbyterian

New York, NY 10012

$145,000-$193,000/yr

Onsite

6-8 years of work experience on the Salesforce platform
Certifications: Platform Developer, Platform Administrator II, Platform Administration
Strong communication, collaboration and documentation skills
Excellent analytical and problem-solving skills
Experience designing and developing complex Salesforce solutions, preferably within NPSP
Experience designing and developing complex and secure features using: Flows, Apex, SOQL / SOSL, Visualforce and Lightning Web Components
Experience using DevOps platforms such as Copado or Gearset
Experience working as part of an Agile Scrum team
Ability to convert business needs into technical requirements
Experience working with internal ETL and Integration teams to deliver solutions and troubleshoot issues
Experience installing and managing third party integrations with Salesforce
Please note that all roles require on-site presence (variable by role). Therefore, all employees should live within a commutable distance to NYP. No relocation assistance is available.

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Director, Software Engineering (Electronic Trading)

Fidelity Investments

Secaucus, NJ 07094

~ 18 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in Computer Science, Engineering, Information Technology, or equivalent.
15+ years of hands-on software design and development experience in the electronic trading domain.
5+ years of technical leadership, managing a team, and mentoring software developers
Experience in building **algorithmic trading** systems for **equities and options**
Experience with**equities and options market data**
Expertise in **C/C++** , **Python** , and **Linux**.
Deep experience with **low latency messaging systems** (e.g., 29West/Ultra-Messaging, Kafka).
Proficiency in **KDB+** or other time-series databases.
Strong background in building **scalable** , **distributed** , **asynchronous** , and **event-driven** applications.
Advanced knowledge of **low latency design patterns** and **performance optimization** techniques.
Experience in **Capital Markets** or **Brokerage systems** , especially **order management**.
Solid understanding of the **FIX protocol** and FIX engines.
Experience with **CI/CD tools** such as GitHub, Maven, Jenkins, Artifactory, and uDeploy.
Experience with deploying applications and services in **AWS**

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Head of Digital Asset Operating Platform– Blockchain-Enabled Operations

Fidelity Investments

Jersey City, NJ 07305

$185,000-$400,000/yr

~ 22 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

15+ years of progressive leadership experience in asset management, fund administration, or financial-operations roles, including at least 5 years in digital-asset, cryptocurrency, or blockchain-based finance.
Proven record of designing and implementing large-scale operating platforms supporting both traditional and digital assets.
Direct experience building and scaling teams and organizations, including defining structure, roles, processes, and performance governance.
Demonstrated success working across large, matrixed organizations with multiple senior stakeholders in a consensus-driven culture, achieving alignment and results.
Deep expertise in fund accounting, valuation, investor servicing, and transfer agency for traditional investment products.
Proven track record building infrastructure for cryptocurrency investment operations, including wallet management, custody, settlement, and on-chain reconciliation.
Strong understanding of blockchain architecture, smart-contract design, tokenization standards, and interoperability protocols.
Familiarity with DeFi primitives (staking, liquidity pools, lending protocols) and their integration into institutional frameworks.
Expertise in designing data architecture, reconciliation, and control frameworks.
Proven ability to translate strategic vision into executable programs through structured governance, roadmap execution, and stakeholder management.
Visionary yet pragmatic leader who combines strategic insight with operational execution.
Exceptional communicator capable of aligning diverse senior stakeholders around a common mission.
Deep curiosity about how blockchain transforms investment operations and a disciplined approach to risk and compliance.
Strong sense of ownership and commitment to building institutional infrastructure for the next generation of finance.

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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

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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.