Remote Jobs

OfferFit logo

Associate, Machine Learning Engagement Management

OfferFit

Location
Canada
Posted
Salary Range
12k - 134k USD

Join OfferFit's Implementation team as an Associate, Machine Learning Engagement Management, and lead the AI transformation in marketing technology.

Plaid logo

Experienced Software Engineer - Machine Learning Infra

Plaid

Location
United States of America
Posted
Salary Range
183k - 297k USD

Design and develop the Feature Store platform at Plaid, leading strategic initiatives in ML infrastructure to support fintech innovations.

OfferFit logo

Manager, Machine Learning Engagement Management

OfferFit

Location
Canada
Posted
Salary Range
21k - 160k USD

Manager, Machine Learning Engagement Management at OfferFit, leading AI decisioning engine with 1:1 personalization for lifecycle marketing campaigns.

Reddit logo

Senior Staff Machine Learning Engineer - Ads Measurement

Reddit

Location
United States of America
Posted
Salary Range
266k - 372k USD

Lead identity resolution systems using ML techniques; collaborate with cross-functional teams to enhance ad measurement capabilities. Drive architectural decisions and mentor junior engineers while ensuring compliance with privacy requirements.

Dropbox logo

Senior Machine Learning Engineer - Strategic Intelligence Group

Dropbox

Posted
Salary Range
189k - 288k USD

Enhance security and prevent abuse by developing advanced ML models to detect threats and protect user trust at Dropbox. Collaborate with cross-functional teams to integrate ML solutions into workflows and platforms.

Gitlab logo

Intermediate Machine Learning Engineer - AI Powered: AI Framework

Gitlab

Location
Anywhere in the world
Posted

Design and implement technical evaluators for LLM assessment, contribute to evaluation infrastructure consolidation efforts, build scalable evaluation pipelines and frameworks, develop and manage datasets and evaluation metrics, collaborate with feature teams to integrate validation solutions, optimize performance across ML evaluation systems, support improvements to GitLab’s AI-powered tools through validation, and ensure all solutions align with GitLab’s infrastructure and security protocols.

Dropbox logo

Senior Machine Learning Engineer, Dash - Ranking and Recommendations

Dropbox

Location
Canada
Posted
Salary Range
200k - 270k CAD

Design and deploy large-scale machine learning systems at Dropbox to enhance user collaboration and organization. Work with cross-functional teams to integrate AI/ML advancements into products, utilizing tools like PyTorch and Scikit-learn.

OpenTable logo

Salesforce Engineer II

OpenTable

Location
India
Posted

Develop and customize Salesforce applications for internal teams at OpenTable, leveraging Lightning Components, Apex, and integration tools.

Spotify logo

Machine Learning Engineer II - Personalization

Spotify

Job Location

United States of America

Salary Range

138k - 198k USD / YEAR

Job Summary

The Personalization team at Spotify designs and builds machine learning solutions for safety in personalization products. The role involves collaborating with cross-functional teams to build new product features, prototyping new approaches, and promoting best practices of ML systems development. As an experienced ML practitioner, you'll work on complex real-world problems in a fast-paced environment, applying theory to develop real-world applications. You'll have the flexibility to work from anywhere within the North America region, with a competitive salary range of $138,250-$197,500 plus equity. The benefits package includes health insurance, paid parental leave, and 401(k) retirement plan. With a strong background in machine learning, natural language processing, and generative AI, you'll be part of an active group of machine learning practitioners collaborating with one another.

The Personalization teams make deciding what to play next easier and more enjoyable for every listener. From Daily Mix 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.

Fritz works on recommending the content someone is most likely to listen to next from their listening history. The underlying machine learning model makes predictions for most requests to Home in real time and operates on sequences based on NRT interactions as its input! The team is migrating its training infrastructure to Ray and will continue innovating to try and increase consumption from Home and overall for Spotify.

What You'll Do

  • Design, build, evaluate, and ship ML solutions for safety in Spotify’s personalization products

  • Collaborate with cross functional teams spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalized and useful ways

  • Prototype new approaches and productionize solutions at scale for our hundreds of millions of active users

  • Promote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization

  • Be part of an active group of machine learning practitioners in New York (and across Spotify) collaborating with one another

Who You Are

  • An experienced ML practitioner motivated to work on complex real-world problems in a fast-paced and collaborative environment -

  • Strong background in machine learning, natural language processing, and generative AI, with experience in applying theory to develop real-world applications

  • Hands-on expertise with implementing end-to-end production ML systems at scale in Java, Scala, Python, or similar languages. Experience with Pytorch, TensorFlow, Scikit-learn etc is a strong plus

  • Experience with designing end-to-end tech specs and modular architectures for ML frameworks in complex problem spaces in collaboration with product teams

  • Experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, and cloud platforms like GCP or AWS

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 $138,250- $197,500 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.