Machine Learning Engineer
Dropbox
mid-level
Location
Germany
Work Type
Onsite
Seniority
mid-level
Posted
February 20, 2026
Total Compensation
€94,250
Yearly Savings (Comfortable)
€25,000
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Job Description
Who you are
- 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
- 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 the job involves
- 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
- Collaborating closely with cross-functional teams, you'll leverage your ML expertise to tackle audacious challenges
- Your contributions will directly impact millions of users, as every line of code you write furthers our mission to revolutionize the way people work and collaborate
- 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
Benefits
- On-site fitness and meditation classes
- Commuter subsidies
- Medical, dental, and vision coverage
- We offer a generous company contribution toward individual medical, dental, and vision insurance coverage, including contributions toward dependent premiums
- Start building a successful 401K retirement plan with our dollar for dollar contribution match, up to $1,500 per quarter to a maximum of $6,000 per calendar year
- Keep sharing and collaborating with friends and family even when you’re not at work with free Dropbox space for your whole crew
- Take the vacation you’ve always dreamed of with up to four consecutive weeks of paid time off
- Celebrate common holidays without your paycheck taking the hit with 11 company paid holidays
- Each Dropboxer has access to 32 hours of paid volunteer time off each year that they can use to support the causes close to their hearts
- We regularly offer panels and seminars featuring the best minds in tech, talent, diversity, and beyond that any Dropboxer can attend from the comfort of their home
- No two Dropboxers are the same, and their benefits shouldn’t be either. Our Perks allowance empowers employees to customize their benefits in line with what really matters to them
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