Founding Machine Learning Engineer

Company

Redo is reshaping the entire post-purchase experience in e-commerce: marketing, order fulfillment, support, returns, and beyond. We do this through AI-native technology and pro-merchant pricing that aligns incentives, not extracts value. Based in Draper, Utah, we’re growing quickly and looking for passionate builders to help us scale. Join us in delivering exceptional customer experiences at every touchpoint.

Position Overview

We are seeking an exceptional founding Data Scientist / Machine Learning Engineer to establish and lead our entire data science and ML operations from the ground up. This is a unique opportunity to join an innovative company as the architect of our ML strategy, infrastructure, and capabilities. As our first ML hire, you'll have autonomy to design, build, and scale our ML platform while directly impacting product development and business outcomes.

This senior-level position is ideal for a self-driven professional who thrives in ambiguous, high-ownership environments and can operate independently to achieve measurable results. You'll be responsible for creating the foundation that will support our ML initiatives for years to come, with the opportunity to grow and lead a team as we scale.

Responsibilities

• Design and implement an end-to-end ML platform including training pipelines, deployment frameworks, and model serving infrastructure

• Establish automated training/retraining systems with event-driven and scheduled triggers

• Create robust monitoring, testing, and evaluation systems for model performance and outputs

• Build flexible inference capabilities supporting both batch processing and real-time API access

• Research, prototype, develop and optimize ML models across diverse use cases from conception through production

• Partner with product and business teams to identify and prioritize high-value ML opportunities

• Provide technical guidance and feasibility assessments for potential ML applications

• Develop internal workflows that leverage ML to improve operational efficiency and business outcomes

• Create scalable processes and documentation to enable future team expansion

Qualifications

• Advanced degree in Computer Science, Statistics, Mathematics, Physics, or related quantitative field

• 5+ years of hands-on experience in machine learning, data science, or related roles with demonstrated impact

• Strong programming skills in Python and experience with ML frameworks (scikit-learn, TensorFlow, PyTorch, etc.)

• Production ML experience including model deployment, monitoring, and maintenance in real-world applications

• Infrastructure and platform development experience with cloud services (AWS, GCP, or Azure) and containerization technologies

• Database and data engineering proficiency with SQL, data pipelines, and large-scale data processing

• Independent problem-solving ability with a track record of delivering results with minimal supervision

• Business acumen and ability to translate technical capabilities into business value

• Excellent communication skills for collaborating with cross-functional teams and presenting to stakeholders

Preferred Qualifications

• Startup or high-growth environment experience with comfort in ambiguous, rapidly changing situations

• Leadership and mentoring experience with a track record of growing technical teams

• Experience with modern ML tools such as MLflow, Metaflow, Sagemaker, or similar platforms

Redo benefits and perks

• Working with a dynamic and innovative team in the fast-growing e-commerce industry.

• On-site gym with showers, pickleball, and basketball.

• Flexible PTO & company holidays.

• Monthly allowance for purchases from e-commerce stores to support both existing and potential customers.

• Company HSA contributions.

• Weekly lunches & fully stocked break room.

• $100/month babysitting reimbursement

• Office is minutes from biking and running trails

This opportunity is 100% in-office in Draper, Utah.

Redo is an equal opportunity employer and prohibits discrimination and harassment of any kind. We are committed to creating a diverse and inclusive work environment where all employees feel valued, respected, and supported.