Machine Learning Engineer
Role details
Job location
Tech stack
Job description
Being as passionate about our people as we are about our mission. We celebrate our employees in many ways, including our "Circle of Awesomeness" award ceremony and day of employee celebration among others! We invest in the growth and development of our team members through ongoing learning opportunities, mentorship programs, internal mobility, and meaningful leadership relationships. We also know that nothing builds trust and collaboration like having fun. We hold an annual Dodgeball for Charity event at our Q2 Stadium in Austin, inviting other local companies to play, and community organizations we support to raise money and awareness together.
Requirements
RESPONSIBILITIES * Design and implement machine learning algorithms and models for various business applications * Conduct research and experimentation to advance machine learning capabilities * Collaborate with cross-functional teams to integrate AI solutions into production environments * Analyze large datasets to extract meaningful insights and support data-driven decisions * Develop scalable machine learning pipelines and systems * Maintain up-to-date knowledge of emerging AI and machine learning trends * Ensure the quality and performance of AI systems through testing and validation EXPERIENCE AND KNOWLEDGE * Bachelor's degree in related field and 5-8 years relevant experience * Proven experience in ML model development and deployment * Strong knowledge of statistics, optimization, probability theory, and experimental methodologies * Proficiency in programming languages such as Python, R, or Java * Experience with ML frameworks/libraries (TensorFlow, PyTorch, scikit-learn) * Familiarity with cloud platforms and scalable computing resources * Strong analytical, problem-solving, and collaboration skills
This position requires fluent written and oral communication in English.
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
Benefits & conditions
- Hybrid Work Opportunities
- Flexible Time Off
- Career Development & Mentoring Programs
- Health & Wellness Benefits, including competitive health insurance offerings and generous paid parental leave for eligible new parents
- Community Volunteering & Company Philanthropy Programs
- Employee Peer Recognition Programs - "You Earned it"