Remote Jobs

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.

Kraken logo

Senior Software Engineer - Frontend - Growth

Kraken

Location
Brazil
Posted
Salary Range
120k - 180k USD

Design and develop mobile applications using React.js, optimize user onboarding experiences, and drive growth for Kraken's global crypto platform as a Senior Front-End Engineer.

Jimdo logo

Senior Accountant

Jimdo

Location
Germany
Posted

Senior Accountant at Jimdo: Support revenue & accounts receivable accounting, streamline closing processes & maintain financial controls.

Avara logo

Senior Accountant

Avara

Location
Cayman Islands
Posted

Senior Accountant at Avara: Ensure accurate financial reporting, maintain robust controls, and contribute to a cutting-edge tech organization.

Bluesight logo

Senior Accountant

Bluesight

Location
United States of America
Posted
Salary Range
75k - 85k USD

Senior Accountant at Bluesight: Manage financial reports, lead Accounts Receivable efforts, and contribute to financial growth in a fast-changing environment.

SwissBorg logo

Senior Accountant

SwissBorg

Location
Estonia
Posted

Senior Accountant at SwissBorg: crypto accounting experience required, problem-solving skills and fluency in English a must

Cover Genius logo

Customer Support Agent - Italian or/and French

Cover Genius

Location
Spain
Posted

Provide exceptional customer support for Cover Genius' insurance products, collaborate with teams to resolve inquiries, maintain documentation, and contribute to process improvements while adhering to compliance standards.

LI.FI logo

Senior Backend Engineer (Cross-Chain Solver)

LI.FI

Location
Cameroon
Posted
Salary Range
120k - 170k USD

Senior Backend Engineer (Cross-Chain Solver) at LI.FI - Design high-performance cross-chain solvers, develop pricing algorithms, and collaborate with smart contract developers.

Aircall logo

Senior Software Engineer Backend/AI - Portugal

Aircall

Location
Cameroon
Posted

Senior Software Engineer Backend/AI at Aircall: Design AI features for Voice, prioritize security & scalability, collaborate with diverse teams.

Mercury logo

Senior Sourcer - GTM

Mercury

Location
Canada
Posted

Senior GTM Sourcer needed at Mercury, responsible for sourcing top talent, building diverse teams, and championing diversity initiatives.

Grafana Labs logo

Senior FullStack Engineer - Grafana Frontend Platform

Grafana Labs

Location
United States of America
Posted
Salary Range
149k - 178k USD

Design and build critical systems for Grafana's user experience. Work on projects like Query Library and Accessibility improvements using React and GoLang in a collaborative, remote-friendly team focused on innovation and growth.

Dropbox logo

Senior Machine Learning Engineer, Dash - Ranking and Recommendations

Dropbox

Job Location

Salary Range

200k - 270k CAD / YEAR

Job Summary

As a Senior Machine Learning Engineer at Dropbox, you will leverage cutting-edge AI/ML technologies to design, build, deploy, and refine large-scale machine learning systems. Your work will power features like universal AI search and AI-assisted organization in Dropbox Dash, enhancing how millions of users collaborate and stay organized. You'll collaborate with Product, Design, Infrastructure, and Frontend teams, contribute to the technical strategy for the end-to-end ML lifecycle, and explore advancements in Search, LLMs, Recommender Systems, etc. The role requires a BS/MS/PhD in Computer Science or related field, 8+ years of engineering experience with 5+ years in ML/AI systems, strong software engineering skills in Python, Go, C/C++, and familiarity with ML libraries like PyTorch.

Skills

GoNumpyPythonPyTorchC/C++PandasSciKit-Learn

Role Description

As a Senior Machine Learning Engineer, you will play a key role in advancing Dropbox’s mission to create a more enlightened way of working. Leveraging cutting-edge AI/ML technologies, you will design, build, deploy, and refine large-scale machine learning systems. Your work will power Dropbox Dash’s universal AI search and AI-assisted organization features, transforming how millions of Dropbox users collaborate, stay organized, and focus on the work that truly matters.

Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here.

Responsibilities

  • Design, build, evaluate, deploy and iterate on large scale Machine Learning systems

  • Understand the Machine Learning stack at Dropbox, and build systems that help Dropbox personalize their users’ experience. Develop and maintain production-quality code for serving machine learning models at scale

  • Work with Product, Design, Infrastructure and Frontend teams to bring your models, and features to life

  • Contribute to team’s technical strategy for the end-to-end machine learning lifecycle, ensuring alignment with business objectives and driving impactful outcomes

  • Explore and integrate the latest advancements in Search, LLMs, Recommender Systems, and Representation Learning into Dropbox's products

Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying.

Requirements

  • BS, MS, or PhD in Computer Science, Mathematics, Statistics, or other quantitative fields or related work experience

  • 8+ years of experience in engineering with 5+ years of experience building Machine Learning or AI systems

  • Professional working experience in ML modeling for at least one of the following: Recommender Systems, Search, or Ranking

  • Strong industry experience working with large scale data

  • Strong collaboration, analytical and problem-solving skills

  • Familiarity with the state-of-the-art in Large Language Models 

  • Proven software engineering skills across multiple languages including but not limited to Python, Go, C/C++

  • Experience with Machine Learning software tools and libraries (e.g., PyTorch, Scikit-learn, numpy, pandas, etc.)

Preferred Qualifications

  • PhD in Computer Science or related field with research in machine learning

  • Experience with one or more of the following: Natural Language Processing, Deep Learning, Recommender Systems, Learning to Rank, Speech Processing, Learning from Semi-structured Data, Graph Learning, Large Language Models, and Retrieval-Augmented Generation

  • Experience building 0→1 ML products at large (Dropbox-level) scale or multiple 0→1 products at smaller scale including experience with large-scale product systems 

Compensation