AL
Software Engineering - Software Engineer II
Artech LLC
- 🇺🇸 United States
- On-site
- 4 days ago
- $75 – $85 / hour
- Machine Learning
- Python
- PyTorch
- Jupyter
- GraphQL
4 days ago
Software Engineer II(ID: 73362-1)
Location: 5 days onsite, Redmond, WA OR Sunnyvale, CA
Duration:9+ months (high extension possibility)
Pay Range: Negotiable based on relevant experience, hourly W2
Machine Learning Engineer, Perceptual Audio Evaluation
Role Summary:Own and sustain a family of production machine learning models. Day to day responsibilities include: maintain ML models’ inference services and evaluation pipelines, integrate models into internal tools, and support the users and tooling owners using models.
Tech Stack: Python, PyTorch, Bento (Jupyter-style notebooks), Meta internal model-serving and always-on inference capacity, REST/GraphQL-style endpoints, and a lightweight web UI.
Responsibilities:
- Own a family of deep-learning models end to end: architecture, checkpoints, evaluation pipelines, serving infrastructure, and failure modes.
- Integrate these models into internal and XFN tools and workflows via API/endpoint integration and web UI onboarding.
- Operate always-on model inference capacity: monitor traffic, resolve throttling, tune auto-scaling, request additional capacity, redeploy, and escalate to platform owners as needed.
- Run analysis and interpret model evaluations on request, apply minor bug fixes and preprocessing changes, and manage version bumps and checkpoint swaps.
- Communicate with and support model users and tooling owners across various domains including audio engineers, SDEs, research scientists, TPMs etc.
- Serve as on-call for the covered services.
- Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent practical experience.
- Proficiency in Python and a deep-learning framework such as PyTorch.
- Knowledge of Machine Learning concepts and ML engineering practices.
- Basic knowledge of audio and signal processing.
- Ability to work independently.
- Master's or PhD degree in Electrical Engineering, Audio Engineering, Speech or Signal Processing, Acoustics, Computer Science, or a related technical field.
- 2+ years of hands-on experience deploying and maintaining machine learning models in production.
- Experience operating production services, including on call, ticket queues, runbooks, access management, and escalation.
- Working familiarity with audio concepts (waveforms, sample rate, spectrograms) sufficient to sanity-check model outputs.
- Excellent communication skills with nonML audience, including audio engineers and scientists.
- Experience with Meta internal ML platform tooling stack.
- Experience with audio, speech, or perceptual quality models (e.g., MOS prediction).
- Experience developing lightweight web front ends.
Top 3 Must-Have HARD Skills:
- Proficiency in Python and a deep-learning framework such as PyTorch.
- Knowledge of Machine Learning concepts and ML engineering practices.
- Basic knowledge of audio and signal processing.
- Experience with audio, speech, or perceptual quality models (e.g., MOS prediction).
- Working familiarity with audio concepts (waveforms, sample rate, spectrograms) sufficient to sanity-check model outputs.
- Experience with Meta internal ML platform tooling stack.
Interviews
- Behavioral – share past work experiences.
- Technical.
Regards,
Adarsh Singh
Sr. Technical Recruiter
Cell:(973) 507-7564
Email: Adarsh.Singh@artech.com
LinkedIn:linkedin.com/in/adarsh-singh-71ba1b1b9
360 Mt. Kemble Avenue, Suite 2000, Morristown, NJ 07960
Website:www.artech.com
Software Engineering - Software Engineer II · Artech LLC