Machine Learning Engineer, Dash

• ​​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.

• 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
  M
  achine
  L
  earning or AI systems

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

• Experience with
  M
  achine
  L
  earning software
  tools and libraries
  (e.g.,
  Py
  Torch
  ,
  HuggingFace
  ,
  TensorFlow,
  Keras
  ,
  S
  cikit-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
  ,
  recommend
  er
  systems, learning
  to rank
  , speech processing, learning from semistructured data,
  graph learning,
  reinforcement or active learning,
  large language models,
  ML software systems,
  r
  etrieval-augmented generation
  ,
  machine learning on e
  dge
  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

Compensation

Denmark Pay Range

926.500 kr.

—

1.253.500 kr. DKK