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Apple Sales - Machine Learning Engineer Computer Vision 
Singapore 
686875803

Yesterday
In this role, you will collaborate with cross-functional teams of business SMEs, engineers, data scientists, designers, and researchers, have deep expertise in both practical and theoretical aspects of 3D Computer Vision algorithms. This includes proficiency in generative models, 3D reconstruction, multi-modal models, pose estimation, or tracking. This role is exceptionally technical, and will require you to actively engage in all aspects of the work, from conceptualization and theoretical considerations to design, coding, and implementation.
  • You’ll be working in a team of computer vision and machine learning engineers to prototype and ship world class algorithms that pushes the state of the art.
  • Turn prototypes into automation pipelines and deploying them to production; deciding when to use out-of-the-box solutions vs. building custom solutions and utilizing both
  • Ongoing data analysis to build new or fine-tune existing models such as GPT to optimize results
  • Partner closely with software engineers to implement these models in our production environment to enable product features for worldwide audience
  • Communicate results of analyses to business partners and executives
  • Maintain expertise in the latest advancements in AI technology. Partnering with your team members to prepare presentations, papers, and patents for your inventions engineer to real business problems
  • 5+ years building NLP/AI software professionally and successfully releasing to customers
  • 5+ years of industry experience in CVML and an advanced degree (Ph.D./M.Sc.) in CVML or similar field
  • A strong track record of shipping products and publications / patents
  • Strong experience in 3D Computer Vision algorithms
  • Experience with state-of-the-art NLP algorithms and AI models, Multi-modal LLMs, Multi-modal contrastive learning, Foundation models, Diffusion based models
  • Strong understanding of Python, and related machine learning tools (e.g. TensorFlow, PyTorch, NLTK, spaCy,Keras)
  • Solid programming skills with C/C++ and Swift
  • Ph.D. in Computer Science, Machine Learning, Computer vision or related field or M.S. in related field applying Computer Vision machine learning
  • Experience in machine learning, preferably in 3D computer vision applications
  • Solid foundation in 3D geometry and linear algebra
  • Experience with human factors, especially eye tracking and human input interaction.
  • Experience in 3D graphics and rendering
  • Experience in modern Novel View Synthesis methods, suchas NeRF, Gaussian Splatting, etc., is a plus
  • Excellent presentation, written and verbal communication, engagement and interpersonal skills along with validated skills in building great design