Machine Learning Engineer

Q2 Software, Inc.

$100K — $140K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor’s degree in a related field with 5–8 years of relevant experience
  • Proven experience in machine learning model development and deployment
  • Strong knowledge of statistics, optimization, probability theory, and experimental methodologies
  • Proficiency in programming languages like Python, R, or Java
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
  • Familiarity with cloud platforms and scalable computing resources
  • Excellent analytical and problem-solving skills, along with the ability to collaborate effectively

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

Benefits

  • Hybrid work opportunities
  • Flexible time off
  • Career development and mentoring programs
  • Health and wellness benefits, including competitive health insurance offerings and generous paid parental leave for eligible new parents
  • Community volunteering and company philanthropy programs
  • Employee peer recognition programs
Full Job Description
SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and scaling AI solutions, while collaborating with cross-functional teams to advance machine learning capabilities and support business innovation. 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 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.

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 6You Earned it

Click to find out more about the benefits we offer.

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