Autodesk
Senior Machine Learning Engineer
Senior Machine Learning Engineer
Job Requisition ID #
EMAGIN AI @ Autodesk
We are changing the way water utilities and heavy industry manage our most precious resource: water. We provide water facilities with an Artificial Intelligence-driven platform to help their operational staff make smarter decisions in real-time when operating their critical processes (i.e. water treatment, pumping etc.). In doing so, we can help facilities drive down their costs, enhance reliability and reduce risks to public safety.
Position Overview
We are looking for impact-minded Machine Learning engineers – those who are passionate about making the world a better place through Artificial Intelligence. As a Machine Learning Engineer at EMAGIN, you will be responsible for deploying the data architecture behind billions of dollars in critical water infrastructure for Fortune 500 companies. We are looking for ambitious, energetic, and talented individuals to join our purpose-driven community as you bridge the technical and business worlds to deliver products for the global water industry. You will have the opportunity to build mission-critical systems for global high-profile clients using cutting-edge cloud technologies in an agile environment.
Why we think you will love working with us -
Build something that makes a difference in the world. Have a big impact at a fast growth-stage tech company. Work with a tight-knit community of experienced entrepreneurs creating socially mindful technology.
If this sounds like your kind of challenge and you have the relevant experience to take them on, get in touch! Please apply with your résumé/CV and any links (Github)/attachments about relevant projects and related work.
Responsibilities
As a Senior Machine Learning Engineer, you will play a major role in a team of developers and engineers in deploying and supporting the EMAGIN AI platform.
Work with domain experts to manipulate, analyze and manage high dimensional time-series data from global utility/industrial customers (i.e. vibration, flow, temperature, pressure)
Work with data engineers, data scientists and domain experts to build, evaluate, deploy and maintain high-performance machine-learning models
Work with Cloud architect and DevOps to design, prototype, refine and maintain scalable infrastructure for machine learning pipeline at scale to succeed in the end-to-end Machine Learning development process
Work with back-end developers to design and build scalable and robust, computationally intensive technologies for near real-time execution
Minimum Qualifications
Bachelors or advanced degree in Computer Science, Software Engineering, Data Science, Statistics/Mathematics or equivalent is required
3-5+ years of experience in Data Science
5-7+ years of experience in Software Development
Experience with Python Data science libraries (numpy, pandas, scipy, tensorflow/pytorch, scikit-learn, etc)
Proficiency in Python, Java, Scala, R, or equivalent
Experience with the end-to-end Machine Learning development lifecycle including model training, model deployment, model inference and model monitoring
Experience building Time-aware/Time-series regression using ML/statistical algorithms
Experience with the modelling building lifecycle (data discovery/cleaning, feature engineering, modelling, testing/validation)
Experience with cloud services in AWS like SageMaker, S3, Lambda, etc.
Extensive experience connecting to various data sources and structures: APIs, SQL, NoSQL, Blob Storage, etc.
Experience supporting and working with cross-functional teams in a dynamic environment
Preferred Qualifications
Masters level or higher degree in Data Science or equivalent
2+ years of experience in project management
Strong time series and/or signal processing background
Experience using swarm intelligence or equivalent
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At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.