Hybrid Senior Machine Learning Engineer chez Qualtrics
Qualtrics · Seattle, Washington, US, États-Unis d'Amérique · Hybrid
- Senior
- Bureau à Seattle, Washington, US
- Work in a supportive environment enables individual growth and achievement of team goals
- Collaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to our customers
- Develop scalable, robust, and highly available micro services to perform simple to complex statistical analyses and build/deploy machine learning models
- Implement new features and optimize existing ones to delight our customers
- Stay on top of technology trends and educate leadership and stakeholders on trends, and North Star initiatives.
- Work in a multi-disciplinary team to implement, tune, and productize cutting-edge machine learning models to meet the demands of our rapidly growing business
- Build and maintain highly scalable data pipelines to cleanse, anonymize, measure, and index complex and multi-modal data.
- Take on mentorship roles and collaborative projects to refine your leadership skills and guide junior team members.
- Work closely with, and incorporate feedback from other specialists, tech-ops, and product managers
- Lead and engage in design reviews, architectural discussions, requirement definitions and other technical activities in diverse capacity
- Attend daily stand-up meetings, collaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to your customers
- Finding quick ways to prototype and test possible solutions to large problems
- Stay up-to-date with the latest advancements in AI technologies, frameworks, and algorithms, and identify opportunities for their application in the organization.
- Bachelor’s degree in Computer Science or related fields.
- 5-8 years of experience as a Machine Learning Engineer, demonstrating a strong track record in designing, implementing, and optimizing machine learning models for real-world applications, leveraging frameworks such as TensorFlow or PyTorch.
- Strong Computer Science fundamentals in algorithm design, complexity analysis, and performance
- Experience in programming with at least one modern programming language such as Java, C# or Python, including object-oriented design
- Experience with applied machine learning models and large-scale ML systems
- Excellent problem-solving and analytical skills, with the ability to break down complex problems into actionable components.
- Strong communication and collaboration skills, with the ability to work effectively within cross-functional teams.
- The Data Intelligence Center of Excellence (DICE) organization provides AI/ML research and development services for all product lines.
- This team builds core machine learning infrastructure and services.
- The team's goal is to accelerate Qualtrics's ML adoption by enabling every engineering team to experiment, design, build, monitor, and troubleshoot ML-powered applications with a Platform that applies reusable components, patterns, and standards/best practices.
- $1800 Experience bonus to be used for an “Experience” of your choosing
- Wellness Reimbursement for $300 per quarter for wellness activities, including gym memberships, spa massages, workout equipment, meditation apps, and much more.
- Amazing QGroup Communities; MOSAIQ, Green Team, Qualtrics Pride, Q&Able, Qualtrics Salute, and Women’s Leadership Development, which exist as places for support, allyship, and advocacy.
For full-time positions, this pay range is for base per year; however, base pay offered may vary depending on location, job-related knowledge, education, skills, and experience. A sign-on bonus and restricted stock units may be included in an employment offer, in addition to a range of medical, financial, and other benefits, based on eligibility criteria.