AI/ML Software Engineer

Who We Are

Vividly is the leading modern trade promotion management (TPM) solution built by and for the consumer packaged goods industry. From campaign creation to deductions management and promotion measurement, we help brands manage every element of trade spend. With our easy-to-use platform and industry-leading experience, we pride ourselves on our ability to bring businesses to the next level.

Not familiar with trade promotion spend?  That’s OK.  Most people aren’t.  It’s a $8 trillion dollar problem that is ripe for disruption by an innovative SaaS startup.  In order to grow, consumer packaged goods (CPG) brands spend 20% of their topline revenue to get into retailers and promote their products within those retailers.  The problem is that today 70% of those promotions are not ROI positive.  This is because ROI is hard to track.  The industry operates on emails, pdfs, and excel spreadsheets, and other sources of unstructured data. At Vividly, we’re solving this massive problem using state of the art machine learning and AI methods to process this unstructured data and drive value for everyone in the chain, from brands to retailers to end consumers. Some of our customers include brands you may use and love - Liquid Death, Amy’s, and Laird Superfoods.

You Are

At Vividly, we’re redefining how CPG brands plan, optimize, and execute trade promotions — and machine learning is at the heart of that transformation.

As a dedicated Machine Learning Engineer, you won’t be building models for the sake of dashboards. You’ll be creating the intelligence layer behind mission-critical workflows used by some of the world’s top consumer brands — influencing what goes on sale, when, where, and why.

This role is ideal for someone who loves the full lifecycle of applied ML: from wrangling messy real-world data (hello, POS data feeds) to designing predictive models that solve clear business problems, to deploying those models in production and iterating based on real user behavior. You’ll work closely with product managers, engineers, and domain experts to bring smart, data-driven features to life — including:

• Lift prediction models that help users understand what a promotion is really worth
• Price elasticity and ROI tools that guide decision-making on pricing strategies
• Chat-based planning assistants powered by LLMs that help users build smarter campaigns, faster
• Prescriptive dashboards that don’t just describe what happened — they suggest what to do next

We’re not looking for someone to sit in a corner and prototype notebooks. We’re looking for a builder. You will bring modeling, data pipelines and ML to life in production in ways that directly shape the customer experience.

You’ll have autonomy, technical ownership, and a chance to leave your fingerprints on a platform used by industry giants — all while working in a tight-knit, ambitious startup environment.

What We Look For

• 5+ years of experience in machine learning, data science, or a related field.
• Strong Python programming skills and proficiency with ML frameworks (e.g., scikit-learn, XGBoost, TensorFlow, or PyTorch).
• Experience designing and deploying machine learning models, particularly for time-series, regression, causal inference, or forecasting use cases.
• Proficiency in SQL and experience with data modeling to support analytical and operational workflows.
• Ability to contribute to full-stack development and DevOps needs when integrating AI and ML features.
• Hands-on experience building and maintaining ETL/ELT pipelines and working with orchestration tools (e.g., Airflow or Dagster).
• Familiarity with modern cloud-based data stacks (e.g., GCP, BigQuery) and version-controlled infrastructure (e.g., Terraform).
• Strong analytical and debugging skills, especially with complex or messy real-world data

What Would Be Nice to Have

• Exposure to event-driven architectures and real-time processing frameworks (e.g., Kafka, Pub/Sub, or Flink)
• Experience with BI tools like Looker or Sigma
• Background in data governance, privacy, compliance, or ML model interpretability.
• Knowledge of data governance best practices, including security, privacy, compliance, data quality management, AI modeling, and data infrastructure.

Additional Info

• 100% Remote position - Open to anywhere in the USA/Canada so long as you have internet
• Salary and equity - We base our salary bands off of current market data to ensure you’re getting compensated fairly
• Flexible PTO - and we really mean it! We want folks to utilize time off to help prevent burn out!  
• Healthcare, Dental and Vision - We cover 100% of your monthly premiums and 50% of all dependents
• 401K through Betterment - Where we contribute 3% 
• Weekly $20 Sharebite Stipend - For every meal you purchase using your Sharebite stipend, they donate a meal
• Monthly $50 Wellness Reimbursement - physical wellness, mental wellness, learning & development - we’ve got you!
• Monthly $200 Remote Work Stipend - Use it for your phone bill and internet
• Vividly Days Off - For every holiday, you get an additional day off! Whenever a holiday falls on a Monday or Friday, we turn it into a 4 day weekend! That means Vividly employees have 20 days of holiday right off the bat