Machine Learning Engineer

 

Voted Best Places to Work in Austin, Best Paying Companies, 
and Top Startup Companies by Forbes

SparkCognition looks to bring in the best talent in the world. To accommodate the hiring of our wildly talented teams, SparkCognition sponsors visa opportunities when appropriate.

Who are we and why this opportunity? 
Drive change and create a footprint. SparkCognition invests in our employees and fosters 
collaboration throughout the organization. Our employees have the ability to work globally 
with award-winning artificial intelligence (AI) technology within multiple industries. 

What are the benefits and perks at SparkCognition? 
You and your loved ones will be supported with a competitive and comprehensive benefits package.

Below are some highlights - we’d love to connect and share more! 

• Fast-paced evolving culture with the opportunity to drive new ideas and technology.
• Dynamic Work Environment - Remote and In-Office Options  
• Stock Option Grants
• Generous Time Off Programs
• Medical Coverage, and Parental Leave Plans 
• 401k with Employer Match
• Monthly Technology Allowance 
• Large 2022 renovated office space centrally located near the Arboretum in Austin, TX- including fully stocked beverage and snack areas!

Join us and start:

• Working closely with data scientists to understand core challenges and develop solutions which improve data science productivity
• Collaborating with data scientists and engineers to transform state-of-the-art ML prototypes and algorithms into production-ready solutions
• Distilling complex ML pipelines into their underlying components with an eye towards efficiency, reusability, and repeatability
• Working within a highly collaborative and cross-functional team to advance our product portfolio and drive the evolution of our common ML infrastructure
• Applying your experience to mentor other team members and make intelligent, forward-thinking technical decisions that intersect multiple products/teams

You'll have: 

• A bachelor’s degree or higher in Computer Science or a related field
• A proven ability to deliver quality ML models in a production environment
• A thorough understanding of the data science process, including data processing and analysis; feature extraction and engineering; and model training and evaluation
• Working knowledge of standard ML approaches and algorithms, including but not limited to Linear Models, Decision Trees, Clustering, and Neural Networks
• A strong command of Python and at least one production OOP language (C#, Java, Scala)
• A working understanding of database fundamentals and technologies
• Hands-on experience with common ML toolkits such as sci-kit learn and at least one deep learning framework (preferably PyTorch or Tensorflow)
• An ability to break down complex or ambiguous problems into manageable tasks
• Excellent communication skills, with the ability to explain ML solutions to developers and team members, regardless of their technical background

It would be great if you had:

• Experience developing algorithms in a distributed environment (e.g., Dask, Ray, etc.)
• Experience with workflow management and orchestration technologies such as Kubeflow or Airflow
• Experience with the MLOps life cycle, especially as it pertains to practical implementation within a cloud (Azure, AWS, GCP) or cloud-agnostic environment

 

Explore SparkCognition: 

https://www.sparkcognition.com/company/ 

BuiltIn Austin 

SparkCognition is an equal opportunity employer, dedicated to diversity, equality, and inclusion, and provides equal employment opportunities to all employees and applicants for employment.  SparkCognition prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

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