Machine Learning Engineer
About The Position
The Machine Learning Engineer develops and applies AI technologies to drive innovation, streamline processes, and solve complex problems. The role designs and implements algorithms that enable systems to learn from data and make predictions or decisions. The position collaborates across teams to integrate AI solutions into production and builds scalable machine learning systems. Specific tools, technologies, certifications, or travel requirements may be customized by the hiring manager. Applicants must be authorized to work for any U.S. employer; Q2 cannot sponsor or take over sponsorship of an employment visa. The position requires fluent written and oral communication in English. Applicants in California or Washington State may not be exempt from federal and state overtime requirements.
Requirements
- Bachelor’s degree in a related field and 2–5 years of relevant experience.
- Proven experience developing and deploying machine learning models and algorithms.
- Strong knowledge of statistics, optimization, probability theory, and experimental methodologies.
- Proficiency in programming languages such as Python, R, or Java.
- Experience with machine learning frameworks or libraries such as TensorFlow, PyTorch, or scikit-learn.
- Familiarity with cloud platforms and scalable computing resources.
- Strong analytical, problem-solving, and collaboration skills.
- Fluent written and oral communication in English.
- Authorization to work for any employer in the U.S.; employment visa sponsorship is not available.
Responsibilities
- Design and implement machine learning algorithms and models for 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.
Benefits
- Health and wellness benefits, including competitive health insurance offerings.
- Generous paid parental leave for eligible new parents.
- Hybrid work opportunities.
- Flexible time off.
- Career development and mentoring programs.
- Community volunteering and company philanthropy programs.
- Employee peer recognition programs.
- Ongoing learning opportunities and internal mobility.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
