
MaintainX is the world-leading mobile-first workflow management platform for industrial and frontline workers. We are a modern IoT-enabled cloud-based tool for maintenance, safety, and operations on equipment and facilities.
51 - 200 employees
November 20

MaintainX is the world-leading mobile-first workflow management platform for industrial and frontline workers. We are a modern IoT-enabled cloud-based tool for maintenance, safety, and operations on equipment and facilities.
51 - 200 employees
• 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
• 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. • Hands-on experience developing models for OT and vibration analysis, condition monitoring, and fault detection or classification. • Familiarity with signal processing techniques (e.g., Fourier transforms, wavelet analysis) and their application to OT and vibration data.
• 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.
Apply NowNovember 20
Machine Learning Engineer for Ambush designing and deploying AI-enhanced applications. Collaborate on backend orchestration and system integration with a focus on LLMs.
November 20
Machine Learning Engineer at Bizee transforming data into insights and models. Collaborating across teams to design, deploy, and refine ML solutions that empower entrepreneurs.
November 20
Lead Machine Learning Engineer designing scalable AI solutions to improve health outcomes for 28 million members. Utilizing cutting-edge ML techniques and big data tools to drive innovation.
November 19
Machine Learning Engineer developing predictive analytics systems for sports industries. Working with data science to enhance accuracy and efficiency in sports datasets and predictions.
🇺🇸 United States – Remote
💵 $165k - $195k / year
💰 $6.9M Series B on 2019-05
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor
November 19
Senior Machine Learning Developer developing document intelligence pipelines on AWS for clients. Focus on ML model optimization and collaboration with subject matter experts.