Senior Machine Learning Engineer

Oakland, CA, United States

Applications have closed

Logic20/20 Inc.

Logic20/20 is a business and technology consulting firm. We elevate client performance using strategy, technology, and data.

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Company Description

Logic20/20 invests in being a “Best Company to Work For,” where talented people come together to deliver exceptional solutions. We bring clarity, insights, and optimization to enterprise organizations spanning technology, telecommunications, utilities, healthcare, and more. 

We thrive as One Team, built on values: 

  • We Foster a Culture of We by prioritizing connection and collaboration.  
  • We Drive toward Excellence by investing in professional growth and cultivating thought leadership. 
  • We Act with Integrity by doing the right thing and bringing our best selves to the table.  

To make it all possible, we’ve created programs, resources, and benefits that promote connection and help you evolve your career. 

Job Description

Logic20/20 is seeking a Machine Learning Engineer to lead data science teams that are utilizing artificial intelligence and machine learning to predict and analyze computer vision or customer intent models. This is an exciting opportunity to make an impact by leveraging AI and ML techniques to create production-level systems through the application of machine learning models.  

What you’ll do:

  • Create frameworks to predict a variety of outcomes in different scenarios 
  • Create models of customer satisfaction that provide detailed insight into what causes a customer to take different actions 
  • Configure a multi-account MLOps environment
  • Collaborate with other data scientists and stakeholders on projects 
  • Research and design statistical models to answer target questions, optimize processes and outcomes, and inform decision-making 
  • Develop solutions in R or Python 
  • Develop production-grade solutions 
  • Work in Hadoop, Redshift, and Spark 
  • Translate business and product questions into analytics projects 
  • Communicate clearly over written and oral channels while translating complex methodologies and analytical results into high-level insights 


Must have:

  • 5+ years of experience in machine learning with a focus on MLOps
  • 3+ years of AWS experience: AWS SageMaker, AWS Glue, etc.
  • 5+ years of experience with R or Python, SQL
  • Strong experience with Terraform
  • Experience building and managing CI/CD pipelines
  • Familiarity with popular machine learning libraries and frameworks, including TensorFlow, Keras, etc. 
  • Experience working in an Agile environment
  • Knowledge of professional enterprise software development and practices including software lifecycle, best coding practices, version control, architecture, testing and deployment 


  • Master's degree/PhD in computer science or related field 
  • Experience with AWS Rekognition, AWS Lake Formation, AWS Ground Truth
  • Experience with TensorFlow
  • Experience with PyTorch and/or PySpark

Additional Information

All your information will be kept confidential according to EEO guidelines. 

Compensation range: $160,000 - $189,000 annually

About Logic20/20 

To learn more about Logic20/20, please visit:  

Core Values 

At Logic20/20, we are guided by three core values: Drive toward Excellence, Act with Integrity & Foster a Culture of We. These values were generated and agreed upon by our employees—and they help us pursue our goal of being one of the best companies to work for and to work with. Learn more at

Logic20/20 Benefits

Why Logic20/20? It’s our goal to be one of the best companies to work for. One piece of the puzzle is an evolving set of benefits that extend past medical, dental, and 401(k). 

You will have 

  • PTO & Paid Holidays – Worry-free time off to recharge and pursue your personal goals 

  • Community & Committees – As part of our “Culture of We,” Logic20/20 invests in providing many social, interest, and learning opportunities 

  • Referral Programs & Bonuses – Employee, project, and sales referral programs with paid incentives  

Equal Opportunity Statement 

We believe that people should be celebrated: for their talents, ideas, and skills, but most of all, for what makes them unique. We prohibit harassment and/or discrimination based on age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law. 

To learn more about our DE&I initiatives, please visit:  

Privacy Policy 

During the recruitment and hiring process, we gather, process, and store some of your personal data. We consider data privacy a priority. For further information, please view our company privacy policy

Tags: Agile Architecture AWS AWS Glue CI/CD Computer Science Computer Vision Hadoop Keras Lake Formation Machine Learning ML models MLOps PhD Pipelines Privacy PySpark Python PyTorch R Redshift Research SageMaker Spark SQL Statistics TensorFlow Terraform Testing

Perks/benefits: Career development Equity Gear Health care Startup environment

Region: North America
Country: United States
Job stats:  5  0  0

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