SUMMARY
The Machine Learning Engineer plays a pivotal role in developing and applying AI technologies to drive innovation, streamline processes, and solve complex problems. You will design and implement algorithms that allow systems to learn from data and make predictions or decisions.
Note: Specific tools, technologies, certifications, or travel requirements may be customized by the hiring manager
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 2–5 years relevant experience
• Proven experience in 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 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.
Health & Wellness
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 64You Earned it 95
Click to find out more about the benefits we offer.
Our Culture & Commitment:
We 99re proud to foster a supportive, inclusive environment where career growth, collaboration, and wellness are prioritized. And our benefits go beyond healthcare 64offering resources for physical, mental, and professional well-being. Click here to find out more about the benefits we offer. Q2 employees are encouraged to give back through volunteer work and nonprofit support through our Spark Program (). We believe in making an impact 64in the industry and in the community.
