Eccalon, LLC · 2 days ago
Machine Learning Engineer
United States
Full-time
Remote
Mid Level
3+ years exp
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Responsibilities
Candidates are expected to be familiar with the motions of a classical Machine Learning workflow, and support the team with some of the following tasks:
• Dataset Creation.
• Data Exploration/Visualization.
• Literature Review.
• Data Wrangling.
• Implementation and Training of Appropriate Models from Literature.
• Characterization of Error in Models.
• Iterative Optimization of Models.
On the engineering side of development, the Machine Learning Engineer will have the ability to be hands-on by:
• Creating training and preprocessing pipelines for faster experimentation.
• Creating algorithmic modules to interface your Models output with business requirements.
• Integrating their code to a larger codebase.
• Putting your model into production using AWS or GCP.
Qualification
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Required
BS. in Computer Science, or related field
3+ years of professional Software Development experience in Python
Mastery of Deep Learning fundamentals and statistics underlying Machine Learning
History of software projects putting Machine Learning systems into production in any capacity
History of software projects in general
Deep personal interest with the complete state of the art in a subfield of Machine Learning Research
Ability to work independently, and within a team
Ability to communicate effectively with non-technical stakeholders and supervisors
Prior project experience combining two or more of the following in a production setting: Unsupervised or Semi-supervised Learning, Convolutional Architectures, Autoencoders, Recurrent Architectures for Time-Series Applications, Transformer Architectures for Natural Language Processing, Generative Adversarial Architectures
Preferred
MS. or PhD in Machine Learning, or related field
Extensive AWS or GCP experience putting scalable Machine Learning systems into production
Experience working with extremely high volume / high throughput data in a data lake / data warehousing / training / production environment
Has implemented cutting edge methods (e.g. a custom layer) from recent Machine Learning publications / conference proceedings and has done so in PyTorch or Tensorflow
Publications in AI/ML journals or conferences
Company
Eccalon, LLC
Guided by trust, creativity, and adaptability, Eccalon advances breakthrough research and technology commercialization to improve the lives of today and to ignite the promise of tomorrow.
51-200 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase
