Machine Learning Engineer

Who is STAT?  

We’re a recovery management firm focused on delivering value to suppliers. Our mission is to be widely recognized as being the best at helping suppliers get paid everything they are owed by retailers. Our vision is to create an environment where we all love working and an experience that our customers rave about.

Culture at STAT

STAT is a fast growing tech-enabled services company. We are a bootstrapped, private-equity owned startup, on solid financial footing. Our team is remotely distributed across 17 states (and counting!) with concentrations in Northwest Arkansas, Southern California, Seattle, Dallas, and Philadelphia. 

We believe in having fun while working hard. Our team is the best of the best, and we all operate as individual contributors and leaders together as one. We are proud of our inclusive, positive, and collaborative culture and believe every team member brings something uniquely valuable to the table. We reinforce our culture through in person functional team gatherings, an annual company retreat and by taking the time to celebrate our team members’ big moments, anniversaries, birthdays, and personal wins.

To apply: Please submit your resume and a cover letter introducing yourself. Share some fun facts, an outline of your relevant work experience, and any questions you may have.

Stand out from the crowd: We value creativity as much as technical skills. To make your application unique, come up with your own programming language! In your cover letter, give it a name, describe its primary purpose, and explain how it would be different from existing languages. Feel free to get as creative or technical as you'd like—we're excited to see what you dream up!

What You’ll Do:  

• Design, develop, and deploy machine learning models to solve complex business problems, including regression, classification, clustering, and recommendation systems.
• Collaborate with data engineers, software engineers, and product teams to define requirements and ensure models meet business objectives.
• Optimize and tune models for performance, scalability, and accuracy using techniques like hyperparameter tuning, cross-validation, and feature engineering.
• Develop and maintain scalable machine learning pipelines to automate data ingestion, model training, evaluation, and deployment processes.
• Integrate machine learning models into production systems, ensuring they perform well in real-time applications or large-scale batch processing.
• Conduct exploratory data analysis (EDA) to identify key insights and opportunities for improvement in datasets.
• Monitor and evaluate model performance in production environments, proactively identifying potential issues like data drift or model degradation.
• Stay up to date with advancements in ML techniques and frameworks, incorporating new tools and methodologies to enhance model performance.
• Contribute to technical discussions and decision-making regarding machine learning architecture and best practices within the engineering team.
• Mentor junior engineers and collaborate on code reviews, fostering a culture of quality and knowledge sharing

Requirements

Who You Are: 

Our team is full of highly motivated individuals, and we hope that you are too!

• Experienced in machine learning techniques and algorithms, with 3-5 years of hands-on experience building and deploying models in production environments.
• Proficient in programming languages such as Python, R, or Scala, with solid experience in machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Familiar with cloud platforms like Azure, AWS or GCP, and experienced in using them for model deployment and data processing.
• Skilled in data manipulation and analysis, including experience with SQL, Pandas, or Spark, and handling datasets efficiently.
• Problem solver with strong analytical thinking, able to break down complex problems and implement effective ML solutions.
• A collaborative team player, comfortable working in cross-functional teams and able to communicate complex ideas clearly to both technical and non-technical stakeholders.
• Self-motivated and curious, continuously learning and keeping up with the latest developments in machine learning and AI.
• Detail-oriented with a focus on quality, ensuring code reliability, model accuracy, and robustness throughout the ML lifecycle.
• Open to feedback and continuous improvement, actively seeking ways to enhance both technical and personal skills.
• Flexible and eager to take on different tasks and challenges as they pop up
• Embody and reflect the STAT culture and values in both thought and practice: Strategic, Nimble, Inquisitive, Proactive, Empathetic, Straightforward.

Bonus Points:

• Strong knowledge of data structures, algorithms, and software engineering principles, including experience with version control, CI/CD, and code optimization

Benefits

• 8% 401k Match eligible to participate in our 401(k) savings and matching funds program, employer match your 401(k) contributions, up to 8% of your salary.
• Employer paid health, dental, and vision benefits for you and your dependents
• Employer paid Short-Term, Long-Term Disability, & Basic Life
• Access to Free Virtual Primary, Urgent, and Mental Healthcare
• Flexible vacation policy 
• Remote work environment
• Paid Parental Leave
• Opportunity to travel for Company Wide and Functional Team gatherings

EEO Statement

We are committed to hiring the best people for the job, regardless of race, religion, national origin, gender identity, sexual orientation, age, marital status, veteran status, or disability status. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. 

Notice of E-Verify Participation

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