Shopfully is hiring a Senior Machine Learning Engineer

About the Role

The Senior Machine Learning Engineer will be responsible for designing, developing, and implementing machine learning models to improve the company's products. This role involves collaborating with cross-functional teams to integrate machine learning solutions and drive innovation. The ideal candidate will have a strong background in machine learning, deep learning, and natural language processing, with experience in Python, TensorFlow, and PyTorch. The role requires a deep understanding of data structures, algorithms, and software engineering principles to build scalable and efficient machine learning systems.

Responsibilities

• Design and develop machine learning models to enhance the company's products.
• Collaborate with cross-functional teams to integrate machine learning solutions.
• Conduct research and stay updated with the latest advancements in machine learning.
• Optimize and scale machine learning models for production environments.
• Ensure the accuracy and reliability of machine learning models.
• Provide technical guidance and mentorship to junior team members.
• Contribute to the development of machine learning infrastructure and tools.
• Work on natural language processing projects to improve text analysis capabilities.
• Develop and implement machine learning algorithms for various applications.
• Conduct experiments and analyze data to improve model performance.
• Collaborate with data scientists and engineers to gather and preprocess data.
• Implement machine learning models using Python, TensorFlow, and PyTorch.
• Develop and maintain machine learning pipelines and workflows.
• Ensure the security and compliance of machine learning systems.
• Document machine learning processes and results for stakeholders.
• Participate in code reviews and contribute to the improvement of coding standards.
• Provide technical support and troubleshooting for machine learning issues.
• Stay updated with industry trends and best practices in machine learning.
• Contribute to the development of machine learning strategies and roadmaps.
• Collaborate with product managers to define machine learning requirements.
• Work on projects related to computer vision and image processing.
• Develop and implement machine learning models for recommendation systems.
• Conduct A/B testing to evaluate the performance of machine learning models.
• Ensure the scalability and performance of machine learning systems.
• Provide technical expertise and support for machine learning projects.
• Collaborate with stakeholders to gather requirements and define project scope.

Nice to Have

• Master's or PhD in Computer Science, Machine Learning, or a related field.
• Experience with reinforcement learning and deep learning.
• Familiarity with MLOps and DevOps practices.
• Experience with machine learning model serving and inference.
• Knowledge of distributed computing and parallel processing.
• Experience with machine learning model explainability and fairness.
• Familiarity with machine learning model deployment on edge devices.
• Experience with machine learning model security and privacy.
• Knowledge of machine learning model lifecycle management.
• Experience with machine learning model governance and compliance.

Compensation

Competitive salary and benefits package.

Work Arrangement

Remote work with flexible hours.

Team

Collaborative and innovative team environment.

What You'll Do

• Lead the development and implementation of machine learning models.
• Collaborate with cross-functional teams to integrate machine learning solutions.
• Conduct research and stay updated with the latest advancements in machine learning.
• Optimize and scale machine learning models for production environments.
• Ensure the accuracy and reliability of machine learning models.
• Provide technical guidance and mentorship to junior team members.
• Contribute to the development of machine learning infrastructure and tools.
• Work on natural language processing projects to improve text analysis capabilities.
• Develop and implement machine learning algorithms for various applications.
• Conduct experiments and analyze data to improve model performance.

What You'll Need

• Proven experience as a Machine Learning Engineer or similar role.
• Strong proficiency in Python, TensorFlow, and PyTorch.
• Deep understanding of machine learning algorithms and techniques.
• Experience with natural language processing and computer vision.
• Knowledge of data structures, algorithms, and software engineering principles.
• Experience with cloud platforms such as AWS, GCP, or Azure.
• Strong problem-solving skills and analytical thinking.
• Ability to work independently and in a team environment.
• Excellent communication and collaboration skills.
• Experience with big data technologies and tools.
• Familiarity with machine learning frameworks and libraries.
• Experience with data preprocessing and feature engineering.
• Knowledge of statistical analysis and data visualization.
• Experience with machine learning model deployment and scaling.
• Ability to conduct research and stay updated with industry trends.
• Experience with version control systems such as Git.
• Familiarity with Agile methodologies and project management tools.
• Experience with machine learning model evaluation and optimization.
• Knowledge of machine learning ethics and responsible AI practices.
• Ability to provide technical guidance and mentorship to junior team members.

Nice to Have

• Master's or PhD in Computer Science, Machine Learning, or a related field.
• Experience with reinforcement learning and deep learning.
• Familiarity with MLOps and DevOps practices.
• Experience with machine learning model serving and inference.
• Knowledge of distributed computing and parallel processing.
• Experience with machine learning model explainability and fairness.
• Familiarity with machine learning model deployment on edge devices.
• Experience with machine learning model security and privacy.
• Knowledge of machine learning model lifecycle management.
• Experience with machine learning model governance and compliance.

Our Perks

• Competitive salary and benefits package.
• Remote work with flexible hours.
• Collaborative and innovative team environment.
• Visa sponsorship available for eligible candidates.
• Opportunities for professional growth and development.
• Access to cutting-edge technology and tools.
• Supportive and inclusive work culture.
• Regular team-building activities and events.
• Health and wellness programs.
• Generous time-off policies.

How to Apply

• Submit your resume and cover letter through our careers portal.
• Include relevant experience and projects in your application.
• Highlight your skills and qualifications in machine learning.
• Provide examples of your work and contributions to machine learning projects.
• Include any relevant certifications or publications.
• Prepare for technical interviews and assessments.
• Be ready to discuss your experience and approach to machine learning problems.
• Showcase your problem-solving skills and analytical thinking.
• Demonstrate your ability to work in a team environment.
• Provide references from previous employers or colleagues.

Visa sponsorship available for eligible candidates.