Machine Learning Engineer, Predictive Maintenance Job at MaintainX (Montreal)

Machine Learning Engineer, Predictive Maintenance

MaintainX is the world’s leading mobile-first Asset and Work Intelligence platfo...

Location

Canada , Montreal

Salary:

Not provided

MaintainX

Expiration Date

Until further notice

Requirements

Strong foundational knowledge in machine learning, data science, and statistical modeling
Familiarity with time-series modeling techniques and feature engineering
Experience in deploying machine learning models on real-world use cases and continuously improving the model performance with feedback
3+ years of proven programming skills using standard ML tools such as Python, PyTorch, Tensorflow etc.
Master’s or Ph.D. in Computer Science, Data Science, Mechanical Engineering, Electrical Engineering, or a related field with a focus on condition monitoring or machine learning applications

Job Responsibility

Develop and train machine learning models for fault detection and classification based on time-series sensor data
including vibration, temperature, pressure, flow etc.
Perform exploratory data analysis (EDA) on vibration, OT and time-series data to uncover insights and identify patterns indicative of faults or anomalies
Experiment with and evaluate various algorithms, including time-series modeling, signal processing, and statistical methods, to optimize model performance
Collaborate with domain experts to validate findings and ensure alignment with real-world applications
Document workflows, experiments, and methodologies to ensure reproducibility and knowledge sharing across the team
On-call duties

What we offer

Competitive salary and meaningful equity opportunities
Healthcare, dental, and vision coverage
401(k) / RRSP enrollment program
Take what you need PTO

Senior Applied Machine Learning Engineer - Asset Intelligence

We are seeking a highly skilled and motivated Senior Applied Machine Learning En...

Location

United States , San Francisco

Salary:

Not provided

MaintainX

Expiration Date

Until further notice

Requirements

7+ years of experience in Machine Learning, Data Science, or Applied AI
Expertise in Python, and strong familiarity with PyTorch, TensorFlow, and cloud ML stacks (AWS, Databricks, or similar)
Proven experience deploying production ML systems at scale
Strong background in LLMs, time-series modeling, and anomaly detection for real-world data
Demonstrated ability to lead architectural decisions, mentor engineers, and collaborate across product, data, and platform teams
Knowledge of MLOps tooling (Docker, Kubernetes, Weights & Biases, MLflow, SageMaker)
Advanced degree (MS/PhD) in Computer Science, Machine Learning, or related field preferred

Job Responsibility

Lead technical direction for predictive maintenance, anomaly detection, and LLM-powered intelligence across MaintainX products
Architect end-to-end ML systems—from data ingestion and feature engineering to model training, deployment, and monitoring
Mentor a growing team of ML and data engineers, instilling best practices for experimentation, evaluation, and model lifecycle management
Partner with product and engineering leaders to align AI roadmap with customer needs and business goals
Design reliable data and feedback loops that connect customer telemetry and operator feedback to model retraining
Drive performance optimization through techniques like quantization, distillation, and scalable inference serving
Work with LLM frameworks (LangChain, LlamaIndex, Hugging Face) to build reasoning systems and agentic workflows for asset and work intelligence
Ensure ML infrastructure meets production standards for latency, reliability, explainability, and security

What we offer

Competitive salary and meaningful equity opportunities
Healthcare, dental, and vision coverage
401(k) / RRSP enrollment program
Take what you need PTO
A high impact Culture: You’ll work with Smart, Humble Optimists across the globe
Meritocratic environment where ideas and outcomes are publicly celebrated

Fulltime

Senior Applied Machine Learning Engineer - Asset Intelligence

We are seeking a highly skilled and motivated Senior Applied Machine Learning En...

Location

Canada , Montreal, Toronto, Vancouver

Salary:

Not provided

MaintainX

Expiration Date

Until further notice

Requirements

7+ years of experience in Machine Learning, Data Science, or Applied AI
Expertise in Python, and strong familiarity with PyTorch, TensorFlow, and cloud ML stacks (AWS, Databricks, or similar)
Proven experience deploying production ML systems at scale
Strong background in LLMs, time-series modeling, and anomaly detection for real-world data
Demonstrated ability to lead architectural decisions, mentor engineers, and collaborate across product, data, and platform teams
Knowledge of MLOps tooling (Docker, Kubernetes, Weights & Biases, MLflow, SageMaker)
Advanced degree (MS/PhD) in Computer Science, Machine Learning, or related field preferred

Job Responsibility

Lead technical direction for predictive maintenance, anomaly detection, and LLM-powered intelligence across MaintainX products
Architect end-to-end ML systems—from data ingestion and feature engineering to model training, deployment, and monitoring
Mentor a growing team of ML and data engineers, instilling best practices for experimentation, evaluation, and model lifecycle management
Partner with product and engineering leaders to align AI roadmap with customer needs and business goals
Design reliable data and feedback loops that connect customer telemetry and operator feedback to model retraining
Drive performance optimization through techniques like quantization, distillation, and scalable inference serving
Work with LLM frameworks (LangChain, LlamaIndex, Hugging Face) to build reasoning systems and agentic workflows for asset and work intelligence
Ensure ML infrastructure meets production standards for latency, reliability, explainability, and security

What we offer

Competitive salary and meaningful equity opportunities
Healthcare, dental, and vision coverage
401(k) / RRSP enrollment program
Take what you need PTO

Head of Data Science and Machine Learning, Global Forecasting

We’re looking for a hands-on technical leader to build and lead a small but migh...

Location

United States , San Francisco

Salary:

440000.00 - 490000.00 USD / Year

OpenAI

Expiration Date

Until further notice

Requirements

Extensive experience building production-ready models for time series applications
Proven track record of building adjustable and explainable forecast models for multiple planning cycles
10+ years of applied data science & engineering experience, with deep hands-on expertise in forecasting and predictive modeling
Demonstrated experience with model monitoring, debugging, and long-term maintenance in production environments
Excellent communication and storytelling skills — able to simplify complexity and influence executive stakeholders
Team leadership experience with a track record of building high-performing, engaged teams
An advanced degree (MS or PhD) in a quantitative field (e.g., Statistics, Computer Science, Economics, Operations Research)
A self-directed, intellectually curious mindset and comfort leading ambiguous projects from 0→1
The ability to thrive in a dynamic environment — flexible, resourceful, and willing to do what it takes to succeed

Job Responsibility

Build and manage a world-class team of applied data scientists and ML engineers to develop forecasting platforms at scale
Design and own the roadmap for the forecasting platform in partnership with cross-functional stakeholders
Collaborate closely with Strategic Finance teams to ensure forecasts are well integrated into planning processes, and executive decision-making
Work closely with cross-functional partners to help them adopt scientific, automated forecasting solutions
Own the end-to-end modeling lifecycle, including scoping, feature engineering, model development and prototyping, experimentation, deployment, monitoring, and explainability
Research and evaluate emerging tools and techniques in the forecasting space
Translate technical outputs into business-aligned recommendations and decision frameworks

What we offer

Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
401(k) retirement plan with employer match
Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
Mental health and wellness support
Employer-paid basic life and disability coverage
Annual learning and development stipend to fuel your professional growth
Daily meals in our offices, and meal delivery credits as eligible

Fulltime

Applied Data Science & Machine Learning Leader - Global Forecasting

We’re looking for a hands-on technical leader to build and lead a small but migh...

Location

United States , San Francisco

Salary:

347000.00 - 490000.00 USD / Year

OpenAI

Expiration Date

Until further notice

Requirements

Extensive experience building production-ready models for time series applications
Proven track record of building adjustable and explainable forecast models for multiple planning cycles
10+ years of applied data science & engineering experience, with deep hands-on expertise in forecasting and predictive modeling
Demonstrated experience with model monitoring, debugging, and long-term maintenance in production environments
Excellent communication and storytelling skills — able to simplify complexity and influence executive stakeholders
Team leadership experience with a track record of building high-performing, engaged teams
An advanced degree (MS or PhD) in a quantitative field (e.g., Statistics, Computer Science, Economics, Operations Research)
A self-directed, intellectually curious mindset and comfort leading ambiguous projects from 0→1
The ability to thrive in a dynamic environment — flexible, resourceful, and willing to do what it takes to succeed
Experience building or scaling forecasting platforms in a high-growth company

Job Responsibility

Build and manage a world-class team of applied data scientists and ML engineers to develop forecasting platforms at scale
Design and own the roadmap for the forecasting platform in partnership with cross-functional stakeholders
Collaborate closely with Strategic Finance teams to ensure forecasts are well integrated into planning processes, and executive decision-making
Work closely with cross-functional partners to help them adopt scientific, automated forecasting solutions
Own the end-to-end modeling lifecycle, including scoping, feature engineering, model development and prototyping, experimentation, deployment, monitoring, and explainability
Research and evaluate emerging tools and techniques in the forecasting space
Translate technical outputs into business-aligned recommendations and decision frameworks

What we offer

Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
401(k) retirement plan with employer match
Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
Mental health and wellness support
Employer-paid basic life and disability coverage
Annual learning and development stipend to fuel your professional growth
Daily meals in our offices, and meal delivery credits as eligible

Fulltime

Machine Learning Data Scientist, Forecasting

The Strategic Finance team at OpenAI plays a critical role in shaping the compan...

Location

United States , San Francisco

Salary:

230000.00 - 385000.00 USD / Year

OpenAI

Expiration Date

Until further notice

Requirements

Advanced degree (MS or PhD) in a quantitative field (e.g., Statistics, Computer Science, Economics, Operations Research)
7+ years of experience in applied data science, with deep hands-on exposure to forecasting, predictive modeling, or marketplace systems
Expertise in time-series forecasting techniques and practical understanding of model trade-offs across performance, explainability, and scalability
Proficiency in Python, SQL, and tools such as scikit-learn, PyTorch/TensorFlow, and forecasting libraries
Demonstrated experience with model monitoring, debugging, and long-term maintenance in production environments
Strong communication and storytelling skills - able to simplify complexity and influence executive stakeholders
Self-directed, intellectually curious, and comfortable leading ambiguous projects from 0→1

Job Responsibility

Build statistical and machine learning models to solve forecasting needs across product, finance, infrastructure, and GTM domains
Own the end-to-end modeling lifecycle, including scoping, feature engineering, model development and prototyping, experimentation, deployment, monitoring, and explainability
Develop and productionize scalable, interpretable forecasts for user growth, monetization, compute load, customer lifetime value, and profitability
Contribute to self-service forecasting tools and internal platforms, enabling teams across OpenAI to access and act on real-time predictions
Research and evaluate emerging tools and techniques in the forecasting space, such as TimeGPT, large language model extensions, causal forecasting, and hybrid approaches
Drive strategic insight generation by translating technical outputs into business-aligned recommendations and decision frameworks
Collaborate closely with cross-functional teams to ensure forecasts are well-integrated into planning processes, experimentation workflows, and executive decision-making

What we offer

Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
401(k) retirement plan with employer match
Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
Mental health and wellness support
Employer-paid basic life and disability coverage
Annual learning and development stipend to fuel your professional growth
Daily meals in our offices, and meal delivery credits as eligible

Fulltime

Maintenance Engineer

We are seeking a skilled Maintenance Engineer to join our facilities team and pr...

Location

United States , PASADENA

Salary:

78000.00 USD / Year

JLL

Expiration Date

Until further notice

Requirements

Proven experience in maintenance and equipment repair
Strong mechanical, electrical, and troubleshooting abilities
Experience with industrial equipment maintenance preferred
Excellent problem-solving skills with ability to work effectively under pressure during emergency situations
Strong verbal and written communication skills for vendor interactions and team collaboration
Demonstrated ability to prioritize multiple activities and manage time effectively
Physical capability for hands-on maintenance work including lifting, climbing, and working in industrial environments
Basic computer literacy required
Proficiency with Microsoft Office programs (Outlook, Word, Excel) preferred
Ability to learn proprietary and specialized maintenance software (on-the-job training provided)

Job Responsibility

Execute comprehensive maintenance programs including preventive, predictive, corrective, and emergency maintenance procedures
Respond immediately to equipment breakdowns and coordinate repairs to minimize operational downtime
Assess equipment failures and implement rapid response strategies
Troubleshoot and determine appropriate repair methodologies
Work with specialized equipment including milling machines, abrasive water jet systems, foam cutting technologies, and automotive paint systems
Utilize computer programs to track work orders, maintenance schedules, and equipment status
Maintain detailed documentation of all maintenance activities and repairs
Communicate equipment status and repair strategies effectively with the Facility Manager
Support special projects including scheduled maintenance shutdowns
Provide flexible off-shift and on-call support as operational needs require

What we offer

Competitive salary
Paid time off
Paid holidays
Health insurance coverage
401(k) retirement plan
401(k) plan with matching company contributions
Comprehensive Medical, Dental & Vision Care
Paid parental leave at 100% of salary
Paid Time Off and Company Holidays
Early access to earned wages through Daily Pay

Fulltime

Machine Learning Modeler

We're looking for a Machine Learning Modeler to design and scale the next genera...

Location

United States , Bay Area

Salary:

160700.00 - 283600.00 USD / Year

Cash App

Expiration Date

Until further notice

Requirements

5+ years of experience in software or ML engineering, with hands-on experience delivering production-grade ML systems
Deep understanding of applied ML and forecasting, including time-series, regression, and value prediction modeling
Strong proficiency in Python and common ML libraries such as scikit-learn, XGBoost, LightGBM, and NumPy/pandas
Experience building data pipelines using tools such as Airflow, Spark, or similar orchestration systems, and working with BigQuery or other large-scale data warehouses
Familiarity with model explainability techniques (e.g., SHAP, feature attribution, uncertainty quantification)
Experience connecting model design to business objectives
Proven ability to work cross-functionally and drive high-impact results

Job Responsibility

Design and implement forecasting, financial, or optimization models that power strategic decisions across Block
Build end-to-end ML pipelines for training, deployment, and monitoring, ensuring reproducibility and performance at scale
Collaborate with Data Science to productionize experimental models and integrate them into live systems
Partner with Analytics & Finance teams to ensure forecasts are interpretable, accurate, and aligned with business objectives
Develop or contribute to explainability tools that communicate model drivers, confidence, and uncertainty to stakeholders
Improve data pipelines and workflows using systems like Airflow, BigQuery, and Spark
Establish and document best practices for model evaluation, experimentation, and maintenance
Translate complex technical findings into clear, actionable recommendations for non-technical partners
Contribute to a culture of curiosity, high-quality engineering, and continuous learning within the Advanced Insights & Modeling organization

What we offer

Remote work
medical insurance
flexible time off
retirement savings plans
modern family planning

Fulltime

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Machine Learning Engineer, Predictive Maintenance

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