Lead Machine Learning Engineer

Logic20/20 is seeking a Senior Machine Learning Engineer to support 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 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
• 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

Requirements

Must have:

• 3+ years of AWS experience
• 2+ years of experience working with AWS SageMaker
• Strong experience and knowledge working with Terraform
• 3+ years building statistical models/evaluating/Feature selection in a high impact role
• 3+ years proven knowledge and proficiency of R or Python
• Knowledge of professional enterprise software development and practices including software lifecycle, best coding practices, version control, architecture, testing and deployment
• Familiarity with popular machine learning libraries and frameworks, including TensorFlow, Keras, etc.
• Knowledge of statistics and Machine Learning techniques
• Experience building data pipelines

Preferred:

• Master's degree/PhD in computer science or related field
• CI/CD experience
• LLM experience

Additional information

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

At Logic20/20, we believe in recognizing and rewarding exceptional talent. Logic20/20 offers a competitive compensation package, with a target base salary range of $150,000 - 208,000 for this role. The final base salary offered is dependent on factors such as relevant experience, skills, qualifications, and location. Eligible employees may also qualify for performance-based bonuses and other incentives.

About Logic20/20

To learn more about Logic20/20, please visit: [https://www.logic2020.com/careers/life-at-logic>

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 https://www.logic2020.com/company/our-values.

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: https://www.logic2020.com/company/diversity-equity-inclusion

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.