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Machine learning engineer Jobs in Newark, NJ

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Machine learning engineer • newark nj

Last updated: 11 hours ago

Machine Learning Engineer

Tiger AnalyticsJersey City, New Jersey, United States
Full-time

Tiger Analytics is an advanced analytics consulting firm.We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data.Our consultants b...Show more

Manager, Machine Learning Engineering

Colgate-Palmolive CompanyNew York, NY, US
Full-time

No Relocation Assistance Offered.Job Number #171681 - New York, New York, United States.Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing ...Show more

Senior Machine Learning (ML) Engineer

Dyania HealthJersey City, NJ, US
Full-time
Quick Apply

Dyania Health is a venture-backed company founded in 2019 which has developed Synapsis AI, an end-to-end system that combines a medically post-trained LLM with a physician-driven algorithmic reason...Show more

Machine Learning Researcher

Jane StreetNew York, New York, US
Full-time

We’re looking for smart and curious individuals to join our growing team and drive our ML work.On our Machine Learning team, you'll build the deep learning models that power our trading strategies,...Show more

Machine Learning Specialist

Applied PhysicsNew York, NY, US
Full-time
Quick Apply

Applied Physics is seeking a highly motivated and skilled professional to join our Machine Learning team at the Advanced Propulsion Laboratory at Applied Physics.In this role, you will have the opp...Show more

Reinforcement Learning Engineer

MLabsNew York, NY, US
Full-time
Quick Apply

Reinforcement Learning (RL) Engineer.Our client is an elite development firm and a high-growth software company responsible for building the infrastructure behind the world’s largest crypto social ...Show more

Campus Recruiter, Machine Learning and Quantitative Research

Jane StreetNew York, NY, United States
Full-time

Campus Recruiter, Machine Learning and Quantitative Research.New York, New York, United States.We are looking to hire a Campus Recruiter to help us develop strategy and grow our recruiting efforts ...Show more

Machine Learning Researcher | Upto $75/hr Hourly

MercorNew York, New York, United States
Remote
Part-time
Quick Apply

Headquartered in San Francisco, our investors include.Computer Science Content Author/Reviewer.Author original computer science questions that test deep conceptual understanding, not surface-level ...Show more

Senior Machine Learning Engineer - Personalization

Disney Entertainment and ESPN Product & TechnologyNew York, New York, États-Unis
Full-time

This is an on-site role requiring 4 days in-person at designated office location.Disney Entertainment and ESPN Product & Technology.Technology is at the heart of Disney’s past, present, and future....Show more

Staff Machine Learning Engineer, Dating Outcomes

HingeNew York, New York
Full-time

Hinge is the dating app designed to be deleted.In today's digital world, finding genuine relationships is tougher than ever.At Hinge, we’re on a mission to inspire intimate connection to create a l...Show more

Machine Learning Engineer

Seven Seven SoftwaresNewark, NJ, US
Full-time

Strong computer science fundamentals such as algorithms, data structures, multithreading, object-oriented development, distributed applications, client-server architecture.Design and implement Mach...Show more

Machine Learning Engineer - Document Digitization (LLMs)-Vice President

JPMorgan Chase Bank, N.A.Jersey City, NJ, US
Full-time

Are you passionate about leveraging advanced technology to solve complex business challenges? As an applied AI/ML, you will have the opportunity to shape the future of document management through c...Show more

 • New!

Machine Learning Engineer – Forecasting & Production Systems

Mai PlacementNewark, NJ, United States
Full-time

Machine Learning Engineer – Forecasting & Production Systems.Salary: $120,000 – $170,000.Description / Position Overview.This role owns the design, deployment, and performance of machine learning s...Show more

Director, Machine Learning Engineering - Surfaces Foundation

SpotifyNew York, NY
Permanent

Spotify’s Surfaces Foundation team builds the systems that power how personalized recommendations show up for hundreds of millions of listeners.From targeting and configuration to serving and evalu...Show more

Machine Learning Engineer

Pelham Berkeley SearchJersey City, NJ, US
Permanent
Quick Apply

The Data Management Engineering team is embarking on a transformative journey to define, enable, and drive our data strategy.We aim to engage with partners across technology, data, business, and op...Show more

Machine Learning Engineer / Data Scientist

FusemachinesNew York, NY, US
Full-time
Quick Apply

About Fusemachines Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI.Leveraging proprietary AI Studio and AI Engines, the com...Show more

Lead Machine Learning Engineer

Disney Entertainment TelevisionNew York, New York, États-Unis
Full-time

You must be in the local area or willing to relocate.The cross-media measurement and advanced analytics organization is responsible for data strategy & management, cross-platform content measuremen...Show more

Software Engineer, Machine Learning (Systems)

Sweep360New York, NY, US
Full-time
Quick Apply

TL;DR — We’re building humanity’s defense layer for the AI age and are looking for an exceptional ML engineer to stabilize the system that turns raw signal into decisions — across device, cloud, an...Show more

Applied Machine Learning Scientist I (US)

TD Bank, N.A.New York, New York
Full-time

At TD Bank US Compliance, we're on a mission to build a more resilient and scalable compliance risk management function.As part of our team, you'll play a key role in reshaping compliance structure...Show more

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Machine Learning Engineer

Machine Learning Engineer

Tiger AnalyticsJersey City, New Jersey, United States
30+ days ago
Job type
  • Full-time
Job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

Are you a Machine Learning Engineer with expertise in Google Cloud Platform (GCP) and Vertex AI? We are looking for two talented professionals to join our team in a fully remote, onshore capacity. If you thrive in building and deploying scalable AI solutions, this role is for you!

What You'll Do:

  • Collaborate with cross-functional teams to design and deploy ML models.
  • Develop reusable, scalable code for AI/ML applications.
  • Leverage GCP services to build end-to-end machine learning pipelines.
  • Optimize models for performance and scalability using Vertex AI.

Requirements

Key Requirements:

  • Google Cloud Platform (GCP) Experience: Strong proficiency in GCP services, including data engineering and machine learning tools.
  • Google Vertex AI Expertise: Hands-on experience with model training, deployment, and optimization using Vertex AI.
  • Model Development & Deployment: Proven ability to design, build, and productionize machine learning models.
  • API Development: Skilled in developing robust APIs for seamless integrations.
  • Python Programming with CI/CD: Experience in Python-based applications and implementing CI/CD pipelines.

Why Join Us?

  • Work remotely while contributing to cutting-edge projects.
  • Collaborate with a dynamic team passionate about AI/ML innovation.
  • Opportunity to work with the latest Google Cloud technologies.

Ready to take the next step? Apply now and be part of a team that’s shaping the future of AI!

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.