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Machine Learning Applied Researcher - Speech, Vision and Audio

Apple· Hardware
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Cambridge, MA$165.8k - $249.5kFull-timePosted 1mo ago

About the role

Applied ML researcher to research new capabilities and develop frontier models using cutting-edge methods across multimodal data (vision, audio, sensor, text). Roles include designing novel neural architectures for ASR, exploring high-risk high-reward approaches, and translating research into production-ready solutions while accounting for deployment constraints.

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 with 10+ years of relevant industry experience.
  • 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:Multimodal deep learningPytorch

Benefits

  • Comprehensive medical and dental coverage, retirement benefits, and a range of discounted products and free services.
  • Education-related benefits including reimbursement for certain educational expenses — including tuition.
  • Potential discretionary bonuses or commission payments and relocation eligibility.
  • Stock programs including discretionary RSUs and Employee Stock Purchase Plan participation.
Last updated Sep 4, 2026. Interested? Apply on the company site.

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