Pay
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
Oak Brook, IL
Live, first seen by us 19 days agoExperience with consumer electronics, smart home companies will be beneficial 
The pay range for this position is $148,912.00 - $254,054.00; base pay offered may vary depending on a number of factors including, but not limited to, the position offered, location, education, training, and/or experience. In addition to base pay, also offered is a comprehensive benefits package and 401k contribution (all benefits are subject to eligibility requirements). This position is eligible for participation in a short-term incentive plan subject to the terms of the applicable plans and policies.

Chamberlain Group wants all of its employees to succeed and encourages people of all backgrounds to apply. We’re proud to be an Equal Opportunity Employer, and you’ll be considered for this role regardless of race, color, religion, sex, national origin, age, sexual orientation, ancestry; marital, disabled or veteran status. We’re committed to fostering an environment where people of all lived experiences feel welcome. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence Recruiting@Chamberlain.com.Read the full posting
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Design, develop, and deploy anomaly detection models for connected device time-series data
Tune models for low false positives and high sensitivity
Develop and manage ML Ops pipelines for training, testing, deployment, and monitoring
Build monitoring and feedback loops to adapt to behavior drift and seasonal variation
Manage, mentor, and grow a team of applied AI and full-stack engineers
Design, develop, and deploy machine learning models for detecting anomalies in time-series data from connected devices
Tune models for low false positives and high sensitivity while maintaining operational efficiency.
Develop and manage ML Ops pipelines for training, testing, deployment, and monitoring of anomaly detection systems
Implement robust monitoring and feedback loops to adapt to behavior drift or seasonal variations.
Manage, mentor, and grow a team of applied AI and full-stack engineers.
Job Requirements: - Bachelor’s or Master’s degree in Computer Science - 10+ years of experience software engineering experience with 5+ in ML engineering or data science with a focus on real-time systems, behavior modeling, or time-series data.
Preferred Job Requirements: - Master’s degree in Computer Science, Computer Engineering, or related field - Experience in IoT, software services, video, and AI
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
Day 19
Similar jobs usually come down between day 6 and day 69.
From 4,284 similar postings that came down. Coming down is not always a hire.
9 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Understanding of MLOps principles, including CI/CD for ML, versioning, and retraining strategies. - Strong programming skills in Python and familiarity with ML frameworks (scikit-learn, PyTorch, TensorFlow). - Proficient in data handling and engineering tools such as Pandas, NumPy, Kafka, Spark, or Flink
- Strong programming skills in Python and familiarity with ML frameworks (scikit-learn, PyTorch, TensorFlow). - Proficient in data handling and engineering tools such as Pandas, NumPy, Kafka, Spark, or Flink Other:
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We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Chamberlain Group (CG) is a global leader in intelligent access and Blackstone portfolio company. Powered by our myQ technology, we make access simple and secure for millions of homeowners, businesses, and communities worldwide. Our flagship brands, LiftMaster® and Chamberlain® , are found in 51+ million homes, and 14 million+ people rely on the myQ® app daily.

This role is central to our mission of enhancing everyday intelligence in connected systems. This role will be responsible for building robust pipelines that analyze temporal behavior, identify anomalies, and trigger intelligent alerts.
Job Responsibilities:
Job Requirements:
Knowledge, Skills, and Abilities:
Other:
Preferred Job Requirements:
Chamberlain Group wants all of its employees to succeed and encourages people of all backgrounds to apply. We’re proud to be an Equal Opportunity Employer, and you’ll be considered for this role regardless of race, color, religion, sex, national origin, age, sexual orientation, ancestry; marital, disabled or veteran status. We’re committed to fostering an environment where people of all lived experiences feel welcome.
Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence Recruiting@Chamberlain.com.
NOTE: Staffing agencies, headhunters, recruiters, and/or placement agencies, please do not contact our hiring managers directly.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
Experience with consumer electronics, smart home companies will be beneficial 
The pay range for this position is $148,912.00 - $254,054.00; base pay offered may vary depending on a number of factors including, but not limited to, the position offered, location, education, training, and/or experience. In addition to base pay, also offered is a comprehensive benefits package and 401k contribution (all benefits are subject to eligibility requirements). This position is eligible for participation in a short-term incentive plan subject to the terms of the applicable plans and policies.

Chamberlain Group wants all of its employees to succeed and encourages people of all backgrounds to apply. We’re proud to be an Equal Opportunity Employer, and you’ll be considered for this role regardless of race, color, religion, sex, national origin, age, sexual orientation, ancestry; marital, disabled or veteran status. We’re committed to fostering an environment where people of all lived experiences feel welcome. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence Recruiting@Chamberlain.com.
Oak Brook, IL
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.