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Machine Learning Applied Researcher - Speech, Vision and Audio

Apple· Hardware
Apply on company site
Cambridge, MA$134.7k - $203kFull-timePosted 1mo ago

About the role

Applied ML researcher to research and develop frontier models using cutting-edge methods across multiple modalities (vision, audio, sensor, text). Focus on ASR, with high-risk, high-reward challenges, experimentation, and production-ready solutions. Collaboration across teams, staying current with frontier ML literature, and communicating findings to stakeholders.

Responsibilities

  • Research and develop cutting-edge deep learning models and algorithms, leveraging multiple data modalities (e.g., vision, audio, sensor, text).
  • Design and implement novel neural network architectures solving unique challenges in the field of ASR.
  • Navigate ambiguous problem spaces - formulate hypotheses, run experiments, learn from negative results, and iterate toward solutions.
  • Improve model performance while maintaining awareness of deployment constraints such as latency, memory, and compute.
  • Collaborate across teams, synthesizing approaches from different fields into solutions that work with and benefit the entire organization.
  • Communicate findings clearly to stakeholders and team members.
  • Stay current with scientific literature on frontier ML methods and identify opportunities to apply new ideas.

Qualifications

  • BS in Computer Science, Electrical Engineering, or a related field - or equivalent practical experience.
  • Experience in academic or industry research.
  • Experience working with Pytorch.
  • MS or PhD in Computer Science, Electrical Engineering, or a related field.
  • Strong foundation in deep learning theory and hands-on experience training large-scale models.
  • Deep knowledge in one or more of: self-supervised learning, synthetic data generation, large language model training, or automatic speech recognition.
  • Experience working with multimodal data (e.g., images, audio, time-series, or sensor fusion).
  • Strong analytical and problem-solving skills; ability to translate research ideas into production-quality code.
  • Resilience and persistence - comfort with experimentation cycles where many attempts fail before one succeeds.
  • Publication record at top-tier ML venues (NeurIPS, ICML, ICLR, Interspeech, ICASSP, etc.).
  • Multidisciplinary background spanning fields such as neuroscience, physics, signal processing, or mathematics. Experience collaborating with distributed teams across time zones.

Skills

Required:Deep learningMultimodal data handlingPyTorch

Benefits

  • Comprehensive medical and dental coverage
  • retirement benefits
  • range of discounted products and free services
  • education-related reimbursement including tuition
  • discretionary bonuses or commission payments and relocation eligibility
  • Apple shareholder opportunities through stock programs
  • employee stock purchase plan
Last updated Sep 4, 2026. Interested? Apply on the company site.

About Apple

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

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