THE OPPORTUNITY 

The Applied Machine Learning Engineer is a key member of Alegion’s Software Engineering team. As an Applied Machine Learning Engineer, you are responsible for implementing and maintaining AI capabilities in Alegion’s AI Enablement Platform and related software products. The Applied Machine Learning Engineer possesses extensive experience in evaluating, integrating and deploying machine learning algorithms in a SaaS software platform.

 

WHAT YOU WILL DO

  • Participate as a technical member of an Agile team developing Alegion’s AI Enablement Platform and related software products
  • Decide which machine learning technologies will be used in production environment
  • Build, train, monitor and choose the best operational architecture for machine learning production models, as well as tune and optimize existing machine learning algorithms
  • Ensure machine learning code is maintainable, scalable and debuggable
  • Integrate machine learning algorithms into the Alegion platform
  • Collaborate with architects and software engineers on architectural reviews and design discussions
  • Work closely with the Product Owner to groom user stories, including providing implementation details, estimating effort, and contributing to acceptance criteria
  • Develop clean, well-designed, reusable, scalable code following TDD practices
  • Strive to achieve a high level of unit, integration and acceptance test coverage
  • Pair program with fellow engineers and perform code reviews of their design and code
  • Share knowledge with peers in dev shares, code dojos, and lightning talks
  • Embody Alegion’s cultural values in your everyday work and interactions

 

QUALIFICATIONS

  • Bachelor’s or Masters degree in Engineering, Computer Science, Statistics, Mathematics or related field with coursework relevant to machine learning
  • 2+ years of experience integrating machine learning algorithms into cloud platforms, including resource provisioning, installation, scaling, and validation, as well as building, training, and monitoring the machine learning production models
  • 5+ years of experience in developing software in Java, C++/C, and/or Python
  • Experience with all or some of the following machine learning, deep learning, computer vision, image processing, and data and image analysis tools (Tensorflow, Keras, Caffe2, Torch/PyTorch  OpenCV/FastCV, numpy, scipy, and scikit-learn)
  • Experience with data transformations, API wrappers and output formats used with machine learning algorithms
  • Hands-on, in-depth experience with AWS or other cloud infrastructure technologies
  • Experience practicing OOP, TDD, CI/CD in an Agile software development environment
  • Crowdsourcing experience a plus, but not required
  • Start-up experience and entrepreneurial spirit highly preferred
  • Excellent communication skills (verbal, written, presentation)
  • Ability to handle multiple competing priorities in a fast-paced environment

 

ENGINEERING @ALEGION

We have methodically built a strong team of talented software engineers from the best companies in Austin and other locations. We adhere to the Alegion Engineering Manifesto, a set of principles we follow in our everyday execution and interactions. Our software engineers work in small, co-located Agile teams, each team with a dedicated Product Owner. We constantly iterate on what we build and how we execute. We value learning and continuous improvement above all.

The pillars of our Engineering organization:

  • Technical Excellence
  • Flawless Execution
  • Innovation
  • Continuous Improvement

 

THE COMPANY

Do you want to help work in the most exciting and impactful technology space of our time? Do you want to serve those who want to work and create new opportunities in the global workforce?

Alegion is transforming how enterprises execute on Artificial Intelligence and Machine Learning projects, while transforming the way people work. Our AI enablement platform integrates human intelligence at scale into the creation of high-quality training data, the validation and scoring of AI models and real-time exception handling. We do this through our advanced data and task management platform and our growing network of on-demand trained human data specialists. By combining human intelligence and artificial intelligence, Alegion processed large-scale and complex data tasks provide the context, emotion and humanity that machine intelligence cannot achieve while delivering the highest quality results, at scale, and at the most effective cost.  https://alegion.com/company/

 

THE TECHNOLOGY

Alegion’s AI Enablement Platform is a robust technology system that supports a wide array of data processes designed specifically for AI, ML, NLP, Computer Vision and Deep Learning systems. It provides the ability to define and configure complex data task workflows including multi-step and conditional paths for text, photo, video and audio. It also manages the distribution of tasks to human data specialists based on required skillets and other criteria and has built-in quality control processes that provide exceptional data quality, predictable pricing and scale to process large volumes of data-intensive tasks.

 

THE CULTURE

  • We have a well-defined mission, and strongly-held core beliefs and cultural values
  • We promote a workplace where employees can make an impact beyond financial results
  • We believe in being truly Agile in every decision, action and interaction
  • We recruit talented employees who are a strong fit for our culture and high-performing teams
  • We value learning and teaching, and heavily invest in employee development and growth
  • We foster a collaborative, team-focused and autonomous work environment

 

THE BENEFITS

  • Competitive health and insurance benefits
  • Competitive total compensation package
  • Meaningful stock grants
  • Open PTO plan
  • 12 company-paid holidays
  • 401K

 

THE LOCATION

  • East of downtown Austin, less than a mile from the light rail station
  • Within walking distance of some of the best culinary eateries in East Austin

To apply, email your resume and cover letter to jobs@alegion.com 

Apply Now!