Machine Learning Engineer Job at Dropbox

Machine Learning Engineer

Dropbox

Location:
Germany

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

118200.00 - 159900.00 EUR / Year

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Job Description:

As a Machine Leaning Engineer on our Multimedia AI team, you will be involved in shaping the future direction of Dropbox Dash and pushing the boundaries on what the world thinks is possible by leveraging the latest advancements in AI/ML. You will join a team of top-tier Machine Learning Engineers and be an inherent part of the product org to create and build delightful new experiences.

Job Responsibility:

Work with large scale data systems, and infrastructure
Help productionize multimodal and semantic retrieval systems at scale, powering Dash’s multimedia and creative search experiences
Partner with product, design, and infrastructure teams to improve retrieval, ranking, and conversational experiences across image, video, and text content
Build and iterate on quick prototypes and experimental features, driving innovation in multimodal interaction and creative workflows
Run quality and performance benchmarks across individual components and end-to-end systems to identify optimization opportunities
Contribute to open source projects and leverage OSS tools for efficient inference and scaling
On-call work may be necessary occasionally to help address bugs, outages, or other operational issues, with the goal of maintaining a stable and high-quality experience for our customers

Requirements:

BS, MS, or PhD in Computer Science, Mathematics, Statistics, or other quantitative fields or related work experience
5+ years of experience in engineering with 3+ years of experience building Machine Learning or AI systems
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, HuggingFace, TensorFlow, Keras, Scikit-learn, etc.)
Familiarity with search-related applications of Large Language Models
Proven experience in machine learning, multimodal AI, or search and ranking systems
Familiarity with semantic search, embeddings, vector retrieval, and optimizing ranking metrics such as nDCG or MRR
Experience running quality and performance benchmarks across components and end-to-end pipelines in large-scale machine learning and retrieval systems to identify and drive optimizations

Nice to have:

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, bayesian reasoning, recommender systems, learning to rank, speech processing, learning from semistructured data, graph learning, reinforcement or active learning, large language models, ML software systems, retrieval-augmented generation, machine learning on edge devices
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

What we offer:

Competitive medical, dental and vision coverage
Retirement savings through a defined contribution pension or savings plan
Flexible PTO/Paid Time Off, paid holidays, Volunteer Time Off, and more
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
Parental benefits including: Parental Leave, Fertility Benefits, Adoptions and Surrogacy support, and Lactation support
Mental health and wellness benefits

Additional Information:

Job Posted:
December 31, 2025

Employment Type:

Fulltime

Work Type:

Remote work

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