105 applicants

Company

Dropbox · 22 hours ago

Senior Machine Learning Engineer, Dash

United States

Full-time

Remote

Senior Level, Lead/Staff

$180K/yr - $305K/yr

8+ years exp

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CollaborationEnterprise Software

Growth Opportunities

H1B Sponsor Likely

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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

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine LearningAI systemsPythonLarge Language ModelsPyTorchScikit-learnNatural Language ProcessingDeep LearningRecommender SystemsNumpyPandasLearning to RankSpeech ProcessingGraph LearningCollaboration skills

Required

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

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

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

Benefits

Competitive medical, dental, and vision coverage

401(k) plan with a generous company match and immediate vesting

Flexible PTO/Paid Time Off, paid holidays, Volunteer Time Off, and more, allowing you time to unplug, unwind, and refresh

Income Protection Plans: Life and disability insurance

Business Travel Protection: Travel medical and accident insurance

Perks Allowance to be used on what matters most to you, whether that’s wellness, learning and development, food and groceries, and much more

Parental benefits including: Parental Leave, Child and Adult Care, Day Care FSA, Fertility Benefits, Adoption and Surrogacy Support, and Lactation Support

Access to over 10,000 global co-working spaces through Gable.to, making it easy to book flexible workspaces for collaboration or individual work

Quarterly Cell phone and internet allowance

Mental health and wellness benefits

Disability and neurodivergence support benefits

Company

Dropbox

Glassdoor

4.4

Dropbox is a smart workspace company that provides secure file sharing, collaboration, and storage solutions.

Founded in 2007

San Francisco, California, USA

1001-5000 employees

https://www.dropbox.com

H1B Sponsorship

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Distribution of Different Job Fields Receiving Sponsorship

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Trends of Total Sponsorships

2023 (74)

2022 (165)

2021 (206)

2020 (188)