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
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 [email protected].
NOTE: Staffing agencies, headhunters, recruiters, and/or placement agencies, please do not contact our hiring managers directly.
Skills Required
- Bachelor's or Master's degree in Computer Science
- 10+ years of software engineering experience
- 5+ years of ML engineering or data science experience focused on real-time systems, behavior modeling, or time-series data
- Experience building and deploying anomaly detection systems in production
- Hands-on experience with time-series libraries such as Prophet, Darts, GluonTS, Kats, or Merlion
- Strong understanding of time-series analysis, statistical anomaly detection, classical machine learning, and deep learning for sequences
- Experience processing streaming data and building live or near-real-time pipelines
- Knowledge of change point detection, event modeling, and alert systems
- Understanding of MLOps, including ML CI/CD, versioning, and retraining strategies
- Strong Python programming skills
- Familiarity with scikit-learn, PyTorch, and TensorFlow
- Proficiency with Pandas, NumPy, Kafka, Spark, or Flink
- Master's degree in Computer Science, Computer Engineering, or a related field
- Experience in IoT, software services, video, or AI
- Experience with event-driven architectures, edge devices, or smart home and IoT environments
- Familiarity with vector databases or LLM integrations
- Experience with consumer electronics or smart home companies
Chamberlain Group Compensation & Benefits Highlights
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Healthcare Strength — Health insurance is characterized as strong, with multiple plan options (including PPO/HSA) and generally solid coverage; some accounts call costs reasonable. The breadth of medical, dental, vision, mental-health resources, and wellness programs reinforces healthcare as a standout aspect.
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Retirement Support — A 401(k) with company match is repeatedly highlighted as a strong point, with several accounts praising the employer contribution. Broader financial benefits (such as performance bonuses or growth-share/equity-style programs for eligible roles) add to the sense of long-term support.
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Leave & Time Off Breadth — PTO and paid holidays are commonly described as generous, with some noting flexible or hybrid work arrangements tied to eligible roles. Additional leave types (parental leave, floating holidays, sick time, bereavement, and volunteer time) underscore the breadth of time-off offerings.
Chamberlain Group Insights
What We Do
Chamberlain Group is a global leader in intelligent access and Blackstone portfolio company. Powered by its myQ technology platform, CG delivers seamless, secure access solutions for millions of homeowners, businesses, and communities around the world. CG's flagship brands, LiftMaster® and Chamberlain®, are trusted in more than 36 million homes, while over 15 million users rely on the myQ® app each day to manage and monitor access with ease. CG’s patented vehicle-to-home connectivity solution, myQ Connected Garage, is integrated with leading automotive manufacturers and available in millions of vehicles, extending smart access beyond the home.
Why Work With Us
At CG, our ONETEAM is united by our mission to make access simple and secure. As a pioneer in the smart access industry, you'll have the opportunity to develop products that make a direct impact on the daily lives of millions of people -- allowing them to seamlessly and securely access their homes, communities and businesses.
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Chamberlain Group Teams
Chamberlain Group Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
We seek to balance individual, collective and business needs while leveraging the benefits of working remotely and working in the office.

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