Director, Machine Learning Engineering

* Champion adoption of cutting-edge techniques (Deep learning, recommendation engine architecture, graph neural networks, causal inference, LLMs, RLs, etc).
* Drive responsible AI practices, model interpretability, and compliance with regulatory requirements.
* ** Customer Empathy:
** Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer’s shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience.
* ** Engineering Excellence:
** Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves pursuing and achieving high standards, best practices, innovation, and superior solutions.
* ** One Team:
** A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively.
* ** Owner’s Mindset:
** Owner’s Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business.

- ** Education & Experience*
* * PhD in Computer Science, Statistics and related field with 10+ years in Machine Learning engineering (preferred); or MS with 12+ years of experience.  
* Minimum 5 years in senior leadership roles managing managers and large engineering teams.
* Proven track record in building production-grade ML systems with strong problem-solving skills
* Hands-on experience building different types of models (ex: large-scale real-time Recommendation models, Causal Inference, Offer optimization, RL, multi-layer DL algorithms, Propensity, Churn, etc.) and scientific solutions
* Deep knowledge of ML lifecycle tools (MLflow, Kubeflow), distributed systems, and cloud-native architectures.

- ** Leadership Skills*
* * Passion to solve problems and drive value-based transformative changes  
* Ability to influence C-suite stakeholders and communicate complex technical concepts clearly.  
* Experience in strategic planning, budgeting, and organizational scaling.  
* Experience building, training and developing engineering teams
** Target Compensation:
** A competitive base salary range from  $205,561 – $301,490.  This position is eligible for an annual variable bonus of cash and equity, between 10-20%. Bonus amounts are based on individual performance. Final compensation within the range is influenced by many factors including role-specific skills, depth and experience level, industry background, relevant education and certifications.
* Positive by maintaining resiliency and focusing on solutions
* Respectful by collaborating and actively listening
* Insightful by cultivating innovation, accumulating business and role specific knowledge, demonstrating self-awareness and making quality decisions
* Direct by effectively communicating and conveying courage
* Earnest by taking accountability, applying feedback and effectively planning and priority setting
* Remain compliant with our policies processes and legal guidelines
* All other duties as assigned
* Attendance as required by department
* Flexible work options including work from home, on site and hybrid positions
* Company provided technology packages for all Team Members
* An atmosphere that is collaborative, challenging, and filled with forward thinking Team Members
* Extensive growth opportunities as demonstrated by our track record of promoting internally
* Ongoing business training and career development opportunities
* Competitive market-based salary with bonus compensation, quarterly profit sharing and annual merit bonuses
* Generous PTO and holidays that include 28.5 total days during first full year of employment
* Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work
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