Teads is hiring a Senior Machine Learning Engineer - Open Application

Responsibilities

• Develop and implement machine learning models to enhance advertising technologies.
• Collaborate with cross-functional teams to integrate machine learning solutions into existing systems.
• Conduct research to stay updated with the latest advancements in machine learning and artificial intelligence.
• Optimize and scale machine learning models for improved performance and efficiency.
• Work on natural language processing projects to improve content understanding and recommendation systems.
• Ensure the security and privacy of data used in machine learning models.
• Provide technical guidance and mentorship to junior team members.
• Participate in code reviews and contribute to the improvement of coding standards.
• Design and implement machine learning pipelines for automated data processing.
• Contribute to the development of machine learning algorithms for predictive analytics.
• Analyze and interpret complex data sets to derive actionable insights.
• Develop and maintain machine learning infrastructure and tools.
• Implement machine learning models to enhance user experience and engagement.
• Collaborate with data scientists and engineers to develop innovative solutions.
• Conduct experiments and A/B tests to validate machine learning models.
• Document machine learning processes and results for future reference.
• Troubleshoot and debug machine learning models and algorithms.
• Stay updated with industry trends and best practices in machine learning.
• Work on projects related to computer vision and image recognition.
• Develop machine learning models for real-time data processing and analysis.
• Contribute to the development of machine learning frameworks and libraries.
• Implement machine learning models to enhance advertising effectiveness.
• Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
• Develop and implement machine learning models for personalized recommendations.

Nice to Have

• Experience with advertising technologies and platforms.
• Knowledge of real-time data processing and analysis.
• Experience with machine learning model explainability and interpretability.
• Knowledge of machine learning model fairness and bias mitigation.
• Experience with machine learning model lifecycle management.
• Knowledge of machine learning model governance and compliance.
• Experience with machine learning model risk management.
• Knowledge of machine learning model performance monitoring.
• Experience with machine learning model deployment automation.
• Knowledge of machine learning model security and privacy.

Compensation

Competitive salary and benefits package.

Work Arrangement

Full-time, on-site position.

Team

Join a dynamic and innovative team focused on advancing advertising technologies through machine learning.

What You'll Bring

• A strong foundation in machine learning and artificial intelligence.
• Experience with natural language processing and computer vision.
• Proficiency in programming languages such as Python and R.
• Knowledge of big data technologies and cloud platforms.
• Strong problem-solving skills and analytical thinking.
• Ability to work independently and in a team environment.
• Excellent communication and interpersonal skills.
• Experience with data visualization tools and techniques.
• Knowledge of statistical analysis and data modeling.
• Experience with Agile methodologies and version control systems.

What You'll Do

• Develop and implement machine learning models to enhance advertising technologies.
• Collaborate with cross-functional teams to integrate machine learning solutions into existing systems.
• Conduct research to stay updated with the latest advancements in machine learning and artificial intelligence.
• Optimize and scale machine learning models for improved performance and efficiency.
• Work on natural language processing projects to improve content understanding and recommendation systems.
• Ensure the security and privacy of data used in machine learning models.
• Provide technical guidance and mentorship to junior team members.
• Participate in code reviews and contribute to the improvement of coding standards.
• Design and implement machine learning pipelines for automated data processing.
• Contribute to the development of machine learning algorithms for predictive analytics.

What You'll Get

• A competitive salary and benefits package.
• Opportunities for professional growth and development.
• A dynamic and innovative work environment.
• The chance to work on cutting-edge machine learning projects.
• Collaboration with a talented and diverse team.
• Access to the latest tools and technologies in machine learning.
• Support for continuous learning and skill development.
• A flexible and inclusive work culture.
• The opportunity to make a significant impact on advertising technologies.
• A supportive and collaborative team environment.

How to Apply

• Submit your resume and cover letter through our online application portal.
• Include relevant experience and skills in your application.
• Highlight your achievements and contributions in machine learning projects.
• Provide examples of your work and any relevant portfolio pieces.
• Be prepared for technical interviews and assessments.
• Demonstrate your problem-solving skills and analytical thinking.
• Showcase your ability to work in a team environment.
• Explain your experience with machine learning frameworks and tools.
• Describe your approach to data privacy and security.
• Discuss your experience with machine learning model deployment and scaling.

Our Commitment to Diversity

• We are committed to fostering a diverse and inclusive work environment.
• We value diversity in all its forms and believe it enriches our team.
• We strive to create an inclusive culture where everyone feels valued and respected.
• We encourage applications from individuals of all backgrounds and experiences.
• We are dedicated to promoting equality and fairness in the workplace.
• We believe that diversity drives innovation and creativity.
• We are committed to providing equal opportunities for all employees.
• We value the unique perspectives and contributions of our diverse team members.
• We are dedicated to creating a supportive and inclusive work environment.
• We believe that diversity and inclusion are essential to our success.

Our Values

• Innovation: We strive to push the boundaries of what's possible in machine learning.
• Collaboration: We believe in the power of teamwork and collective intelligence.
• Integrity: We uphold the highest standards of ethical conduct and transparency.
• Excellence: We are committed to delivering high-quality work and exceeding expectations.
• Inclusivity: We value diversity and foster an inclusive work environment.
• Continuous Learning: We encourage ongoing learning and professional development.
• Customer Focus: We prioritize the needs and satisfaction of our customers.
• Agility: We adapt quickly to changes and embrace new challenges.
• Respect: We treat everyone with respect and dignity.
• Accountability: We take responsibility for our actions and decisions.

Our Culture

• We foster a culture of innovation and creativity.
• We encourage open communication and collaboration.
• We value work-life balance and employee well-being.
• We promote a culture of continuous learning and development.
• We celebrate diversity and inclusivity in the workplace.
• We strive to create a supportive and inclusive work environment.
• We encourage innovation and risk-taking.
• We value transparency and open communication.
• We promote a culture of excellence and high standards.
• We foster a culture of respect and accountability.

Our Mission

• Our mission is to advance advertising technologies through machine learning.
• We aim to deliver innovative solutions that enhance user experience and engagement.
• We strive to create a positive impact on the advertising industry.
• We are committed to pushing the boundaries of what's possible in machine learning.
• We aim to foster a culture of innovation and creativity.
• We strive to deliver high-quality work and exceed expectations.
• We are dedicated to promoting equality and fairness in the workplace.
• We aim to create a supportive and inclusive work environment.
• We are committed to continuous learning and professional development.
• We strive to deliver innovative solutions that enhance user experience and engagement.

Our Vision

• Our vision is to be a leader in machine learning and artificial intelligence.
• We aim to transform the advertising industry through innovative technologies.
• We strive to create a positive impact on society through our work.
• We are committed to fostering a culture of innovation and creativity.
• We aim to deliver high-quality work and exceed expectations.
• We are dedicated to promoting equality and fairness in the workplace.
• We strive to create a supportive and inclusive work environment.
• We are committed to continuous learning and professional development.
• We aim to deliver innovative solutions that enhance user experience and engagement.
• We strive to be a leader in machine learning and artificial intelligence.

Visa sponsorship available for eligible candidates.