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Staff Software Engineer - ML/AI

Pay
$148,912–254,054/yearAnnual period assumed. Location-specific pay — pay source
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.
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Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full 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

From the employer’s posting
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.
Education & alternatives
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
Apply at Chamberlain

Posting record

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Status in our records
Live
First seen by us
Oct 15, 202619 days ago
Recorded sightings
20
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

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.

Time since we first saw it

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.

Chamberlain is hiring

9 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring is picking up
  • Its jobs tend to stay up a long time
  • 11% of open jobs were reposted
Hiring record

See how this role fits your experience

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.

  • Python
  • Kafka
  • Spark
  • NumPy
  • pandas
  • PyTorch
  • scikit-learn
  • TensorFlow
Where the posting names them
- 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:

Your next step

Complete your application on chamberlain.wd1.myworkdayjobs.com. The employer’s form will show what is required.

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About the role

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.

US government figures for computer and information research scientists

Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs

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.

Job description

View original posting ↗

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:

  • Design, develop, and deploy machine learning models for detecting anomalies in time-series data from connected devices (e.g., cameras, door sensors, access logs).
  • Build pipelines that analyze historical patterns and identify deviations using a combination of statistical, classical ML, and deep learning approaches.
  • Collaborate with data engineering and platform teams to ensure real-time model inference, stream processing, and alert triggering
  • 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.
  • Contribute to overall AI system architecture and collaborate with engineers working on LLM-based assistants and agentic AI to ensure seamless integration.
  • Work across product, engineering, and AI research teams to ensure scalable and performant deployment of models
  • Drive decision-making around tooling, infrastructure, observability, and production-readiness.
  • Mentor engineers across the org in AI-native engineering patterns, architecture, and LLM ecosystem evolution
  • Manage, mentor, and grow a team of applied AI and full-stack engineers.
  • Guide career development. Hire top talent and build a strong, collaborative team culture.
  • Comply with health and safety guidelines and rules; managers should also ensure compliance across their teams.
  • Protect Chamberlain Group’s reputation by keeping information confidential.
  • Maintain professional and technical knowledge by attending educational workshops, reading professional publications, establishing personal networks, and participating in professional societies.
  • Contribute to the team effort by accomplishing related results and participating on projects as needed.

 

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.
  • Proven experience building and deploying anomaly detection systems in production.
  • Hands-on experience with time-series libraries (e.g., Prophet, Darts, GluonTS, Kats, Merlion).
  • Experience working with event-driven architectures, edge devices, or smart home / IoT environments is a plus.
  • Familiarity with vector databases or integration with LLMs

 

Knowledge, Skills, and Abilities:

  • Strong understanding of time-series analysis, including: Trend/seasonality decomposition, Statistical anomaly detection methods (ARIMA, z-score, moving average), Classical ML techniques (Isolation Forest, One-Class SVM, clustering-based approaches), Deep learning for sequences (LSTM, GRU, TCN, Transformers)
  • Experience in streaming data processing and building pipelines that operate on live or near-real-time data.
  • Knowledge of change point detection, event modeling, and alert systems.
  • Ability to design interpretable anomaly detection systems with threshold tuning, confidence scoring, and alert escalation.
  • 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

 

Other:

  • Ability to travel up to 10% of the time domestically and internationally

 

Preferred Job Requirements:

  • Master’s degree in Computer Science, Computer Engineering, or related field
  • Experience in IoT, software services, video, and AI
  • Analytical and systems thinker who can reason about behavioral patterns over time
  • Detail-oriented with a strong focus on data integrity and alert quality
  • Comfortable operating in a fast-paced environment and building 0-1 systems
  • Effective communicator — able to explain models, metrics, and uncertainty clearly to technical and non-technical stakeholders
  • 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.


NOTE: Staffing agencies, headhunters, recruiters, and/or placement agencies, please do not contact our hiring managers directly.

Source details

View original posting ↗

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Pay
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.
Location & working pattern

Oak Brook, IL

Working pattern and location restrictions need checking in the full posting.

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