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Machine learning engineer • newark nj

Last updated: 20 hours ago

Machine Learning Engineer

SpotifyNew York, NY
Permanent

The Personalization team makes deciding what to play next easier and more enjoyable for every listener.From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features.We built the...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

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

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

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 – Forecasting & Production Systems

Mai PlacementNewark, NJ, United States
Full-time

Machine Learning Engineer – Forecasting & Production Systems.Salary: $120,000 – $180,000.Description / Position Overview.The business is operating without consistently reliable SKU-level forecastin...Show more

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

JPMorgan Chase Bank, N.A.Jersey City, 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!

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

SpotifyNew York, NY
30+ days ago
Job type
  • Permanent
Job description
The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them. We are looking for a Machine Learning Engineer to join the Personalization (PZN) team - an area of hardworking engineers that are passionate about understanding what drives user satisfaction with Spotify - and who make impactful changes to Home recommendation systems to achieve this goal. As an integral part of the squad, you will collaborate with research scientists, data scientists and other engineers across PZN in prototyping and productizing state-of-the-art ML at the intersection of recommendations and long-term user satisfaction.

What You’ll Do

  • Contribute to designing, scaling/building, evaluating, integrating, shipping, and refining reward signals for recommendations by hands-on ML development.
  • Lead collaborations and align across Personalization to integrate and A/B test mid-term signals in various recommendation systems.
  • Promote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization.

Who You Are

  • You have a strong background in machine learning, enjoy applying theory to develop real-world applications, with expertise in statistics and optimization, especially in sequential models, transformers, generative AI and large language models, and relevant fine-tuning processes.
  • You have hands-on experience with large cross-collaborative machine learning projects and managing stakeholders.
  • You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages.
  • Experience with PyTorch, Ray, Hugging Face and related tools is required.
  • You have some experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, or even our open source API for it - Scio, and cloud platforms like GCP or AWS.
  • You care about agile software processes, data-driven development, reliability, and disciplined experimentation.

Where You'll Be

  • We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have a work location.
  • This team operates within the Eastern Standard time zone for collaboration.
The United States base range for this position is $148,000 $212,000 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.