Machine Learning Resident - Client Blackline Safety 12 months
Machine Learning Resident - Client Blackline Safety 12 months
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Job Description
Join us for a unique ML Resident role tackling a timeseries problem for workplace safety with ML/DL. Youll collaborate with a dynamic and fastpaced team of machine learning scientists and domain experts developing innovative models and products within the energy sector while making a tangible impact on worker safety
Maithrreye Srinivasan Machine Learning Scientist and Dave Staszak Lead Machine Learning Scientist
About the Role
This is a paid residency that will be undertaken over a twelvemonth period with the potential to be hired by our client afterwards (note: at the discretion of the client). The resident will be reporting to an Amii Machine Learning Scientist and regularly consult with the Client team to share insights and engage in knowledge transfer activities.
About our Client
Blackline Safety is a global leader in connected safety solutions. They develop and manufacture wearable safety technology and cloudbased software that help protect and empower workforces operating in highrisk and remote environments. Their realtime monitoring data analytics and gas detection solutions enable organizations to proactively manage worker safety and respond instantly to incidentsensuring employees stay safe and supported wherever they are. Driven by a commitment to innovation Blackline Safety combines cuttingedge hardware with advanced software to help clients worldwide keep their teams connected productive and confident on the job.
About the Project
To advance workplace safety Blackline Safety is looking to apply machine learning (ML) models to predict workplace risks with a focus on forecasting the probability of future gas exposures as a critical risk factor. This initiative is designed to significantly enhance workplace safety and reduce risks for clients.
Blackline Safetys forwardthinking strategy focuses on identifying evaluating and addressing potential risks before they escalate. By utilizing historical and realtime data technology and analytical tools this approach allows organizations to predict and mitigate risks effectively. The benefits include preventing workplace accidents reducing occupational hazards and achieving significant cost savings. Moreover it promotes a secure work environment which enhances employee wellbeing and productivity ultimately contributing to the overall success and safety of the organization.
The ML model will be trained on sensor data including detailed timeseries records of gas exposures events bumps and calibrations and usage. By uncovering patterns that drive operational risks the model will provide actionable insights to improve safety across all levels of operations.
Required Skills / Expertise
Were looking for a talented and enthusiastic individual with solid knowledge of machine learning and experience working with time series data.
Key Responsibilities:
- Clean preprocess and curate historical datasets.
- Conduct exploratory data analysis to identify patterns and anomalies.
- Design build train and evaluate ML/DL models
- Collaborate with crossfunctional teams to develop minimum viable products (MVPs) and clientcentric solutions
- Engage in regular client meetings contributing to presentations and reports on project progress
- Optimize ML pipelines to ensure efficiency scalability and realtime processing capabilities
Required Qualifications:
- Completion of a graduate level program or higher (M.Sc/Ph.D) in Computing Science ML or Engineering
- Research or project experience working with time series data and classical time series models (ARIMA Facebook Prophet etc.
- Solid understanding and experience in applications of deep learning techniques like RNNs LSTMs GRUs etc.
- Proficient in Python programming language and related ML frameworks libraries and toolkits (e.g. Scikitlearn TensorFlow PyTorch Pandas)
- A positive attitude towards learning and understanding a new applied domain
- Must be legally eligible to work in Canada
Preferred Qualifications:
- Publication record in peerreviewed academic conferences or relevant journals in machine learning
- Familiarity with time series classification or anatomy detection methods.
- Experience/familiarity with software engineering best practices
NonTechnical Requirements:
- Desire to take ownership of a problem and demonstrated leadership skills
- Interdisciplinary team player enthusiastic about working together to achieve excellence
- Capable of critical and independent thought
- Able to communicate technical concepts clearly and advise on the application of machine intelligence
- Intellectual curiosity and the desire to learn new things techniques and technologies
Why You Should Apply
Besides gaining industry experience additional perks include:
- Work under the mentorship of an Amii Fellow and Amii Scientist for the duration of the project
- Participate in professional development activities
- Gain access to the Amii community and events
- Build your professional network
- The opportunity for an ongoing machine learning role at the clients organization at the end of the term (at the clients discretion)
About Amii
One of Canadas three main institutes for artificial intelligence (AI) and machine learning our worldrenowned researchers drive fundamental and applied research at the University of Alberta (and other academic institutions) training some of the worlds top scientific talent. Our crossfunctional teams work collaboratively with Albertabased businesses and organizations to build AI capacity and translate scientific advancement into industry adoption and economic impact.
How to Apply
If this sounds like the opportunity youve been waiting for please dont wait for the closing March 25 2025 to apply were excited to add a new member to the Amii team for this role and the posting may come down sooner than the closing date if we find the right candidate before the posting closes! When sending your application please send your resume and cover letter indicating why you think youd be a fit for Amii. In your cover letter please include one professional accomplishment you are most proud of and why.
Applicants must be legally eligible to work in Canada at the time of application.
Amii is an equal opportunity employer and values a diverse workforce. We encourage applications from all qualified individuals without regard to ethnicity religion gender identity sexual orientation age or disability. Accommodations for disabilityrelated needs throughout the recruitment and selection process are available upon request. Any information provided by you for accommodations will be kept confidential and wont be used in the selection process.
Employment Type
Full-Time
