AC
Software Engineer
Aditi Consulting
🇺🇸 United States
On-site
1 day ago
$75 – $80 / hour
- Machine Learning
- Python
- PyTorch
- AI
- Pension
1 day ago
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.
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 oncall for the covered services.
Qualifications:
- 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.
Skills:
- 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 oncall, 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 ML platform tooling stack.
- Experience with audio, speech, or perceptual quality models (e.g., MOS prediction).
- Experience developing lightweight web front ends.
Pay Transparency:The typical base pay for this role across the U.S. is: $75.00 - $80.00 /hour. Non-exempt positions are eligible for overtime at a rate of 1.5 times the base hourly rate for all hours worked in excess of 40 in a work week, or as required by state or local law. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, health savings accounts with qualified medical plan enrollment, 10 paid days off, 3 days paid bereavement leave, 401(k) plan participation with employer match, life and disability insurance, commuter benefits, dependent care flexible spending account, accident insurance, critical illness insurance, hospital indemnity insurance, accommodations and reimbursement for work travel, and discretionary performance or recognition bonus. Sick leave and mobile phone reimbursement provided based on state or local law.
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Software Engineer · Aditi Consulting