> Markdown version of [/jobs/ext/3327037-machine-learning-applied-researcher-speech-vision-and-audio](https://www.wearedevelopers.com/jobs/ext/3327037-machine-learning-applied-researcher-speech-vision-and-audio). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Machine Learning Applied Researcher - Speech, Vision and Audio

- **Company:** Apple Inc.
- **Location:** Cambridge, MA, United States
- **Experience:** Expert
- **Salary:** $165,800.0
- **Contract:** Permanent contract
- **Skills:** Artificial Neural Networks, Machine Learning, Sensor Fusion, Signal Processing, Speech Recognition, Pytorch, Deep Learning, Information Technology, Data Generation
- **Published:** September 1, 2026
- **Apply:** https://www.themuse.com/jobs/apple/machine-learning-applied-researcher-speech-vision-and-audio

## About the Role

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.

Minimum 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.

## Description

We are looking for a talented and experienced applied ML researcher who can both research new capabilities and develop frontier models using cutting-edge methods. In this role, you will take on high-risk, high-reward challenges - researching, designing, and improving state-of-the-art deep learning models trained on unique data, implementing novel machine learning algorithms, and developing solutions to problems that don't have obvious answers. Your scope will encompass various ML subfields and modalities, combining ideas from different fields to solve unique challenges and deliver solutions adopted broadly across teams., 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.