Role Overview

Coursera is revolutionizing education by providing universal access to world-class learning. Our Machine Learning team is at the forefront of this revolution, leveraging cutting-edge AI technologies to personalize and enhance the learning experience. As a Machine Learning Engineer II, you will play a pivotal role in shaping the future of education. Your responsibilities will span across designing, developing, and deploying Machine Learning models that drive content discovery, personalized learning paths, automated translation services, accurate skill tagging, and machine-assisted teaching and grading. You will contribute to building the next-generation education experience that is not only personalized but also highly accessible and efficient.

Coursera's scale, combined with its vast data resources, advanced technological infrastructure, and exceptionally talented team, positions us uniquely to transform this vision into reality. This is an opportunity to be part of something truly impactful and meaningful, changing lives through education on a global scale.

A Day in the Life of a Machine Learning Engineer II at Coursera

Imagine starting your day by collaborating with a team of brilliant Machine Learning Scientists, diving deep into complex algorithms and models. You'll be working on deploying these models into production systems, ensuring they are scalable, reliable, and efficient. Your morning might involve optimizing data pipelines, refining feature engineering techniques, and ensuring that our infrastructure can handle the ever-growing demands of our global user base.

In the afternoon, you might be focused on automating Machine Learning workflows, streamlining the training, evaluation, and testing processes. You'll be working closely with cross-functional teams, contributing to long-term strategic planning for scaling AI applications across Coursera's platform. You'll also be responsible for monitoring model performance, identifying areas for improvement, and implementing best practices for security and privacy. Throughout the day, you'll be engaging in problem-solving, critical thinking, and continuous learning, staying at the cutting edge of Machine Learning advancements.

Collaboration is key - whether it's whiteboarding new solutions, participating in code reviews, or sharing knowledge with colleagues, you'll be an integral part of a dynamic and supportive team. You will be actively involved in designing infrastructure for machine learning that scales to millions of learners.

Why India? The Epicenter of Tech Innovation

India is a global hub for technology and innovation, making it an ideal location for a Machine Learning Engineer. The country boasts a vibrant ecosystem of tech companies, startups, and research institutions, providing numerous opportunities for professional growth and development. The talent pool in India is exceptional, with a large number of skilled engineers and data scientists. By working in India, you'll have the chance to collaborate with some of the brightest minds in the field and contribute to cutting-edge projects.

Moreover, India's growing economy and increasing internet penetration are driving rapid adoption of online learning, making it a crucial market for Coursera. By joining our team in India, you'll be at the forefront of this transformation, helping to shape the future of education in a country with immense potential. You will contribute to products and solutions that impact millions of learners in India and around the world. This location offers a unique blend of professional opportunities, cultural experiences, and personal growth potential, making it an exciting place to build your career.

Charting Your Career Path at Coursera

Coursera is committed to fostering the professional growth of its employees. As a Machine Learning Engineer II, you'll have ample opportunities to advance your career within the company. You can progress along a technical track, becoming a Senior Machine Learning Engineer, Staff Engineer, or even a Principal Engineer, leading critical projects and mentoring junior engineers. Alternatively, you can explore management roles, leading teams and shaping the direction of our Machine Learning efforts.

Coursera provides numerous resources to support your career development, including training programs, mentorship opportunities, and internal mobility options. We encourage our employees to explore different roles and projects within the company, allowing you to broaden your skillset and discover your passions. We also offer leadership development programs to equip you with the skills necessary to excel in leadership positions. Your career journey at Coursera is personalized and supported, ensuring that you reach your full potential.

Salary & Benefits: Investing in Your Future

Coursera offers a highly competitive salary and benefits package designed to attract and retain top talent. The salary for a Machine Learning Engineer II in India typically ranges from INR 25,00,000 to INR 50,00,000 per year, depending on experience and qualifications. In addition to a competitive salary, Coursera provides a comprehensive benefits package that includes health insurance, paid time off, employee stock options, and a retirement plan.

We also offer a range of other benefits, such as learning and development resources, wellness programs, and an employee assistance program. Coursera is committed to supporting the well-being of its employees, both inside and outside of work. We provide flexible work arrangements, paid parental leave, and commuter benefits. We also offer generous vacation policy, company-sponsored events, and free access to Coursera courses. Our benefits package reflects our commitment to investing in the long-term success and well-being of our employees.

Education for Everyone: Our Core Mission

At Coursera, we believe that everyone deserves access to high-quality education, regardless of their background or location. Our mission is to transform lives by providing universal access to the world’s best learning experiences. We partner with leading universities and institutions to offer a broad range of courses, Specializations, Professional Certificates, and degrees.

As a Machine Learning Engineer at Coursera, you'll be directly contributing to this mission. Your work will help to personalize and improve the learning experience for millions of students around the world, breaking down barriers to education and empowering individuals to achieve their full potential. You'll be part of a team that is making a real difference in the world, creating a more equitable and accessible future for all.

How to Apply

Are you ready to join our team and make a difference in the world? Applying for the Machine Learning Engineer II position at Coursera is easy. Simply click on the "Apply Now" button at the top or bottom of this page. You'll be directed to our online application portal, where you can submit your resume and cover letter.

In your cover letter, be sure to highlight your relevant experience and skills, and explain why you're passionate about working at Coursera. We're looking for individuals who are not only technically skilled but also deeply committed to our mission of providing education for everyone. The interview process includes a technical assessment and interviews with members of our Machine Learning team. We look forward to hearing from you!

Frequently Asked Questions (FAQ)

1. What are the key responsibilities of a Machine Learning Engineer II at Coursera?

   Key responsibilities include model deployment, building scalable infrastructure, automating ML workflows, and collaborating with cross-functional teams.

2. What qualifications are required for this role?

   A Bachelor's degree in Computer Science or a related field and a minimum of 3 years of industry experience as a Machine Learning Engineer.

3. What skills are important for success in this role?

   Proficiency in Python, experience with deep learning frameworks like TensorFlow or PyTorch, and a strong understanding of Machine Learning algorithms.

4. What is the salary range for this position in India?

   The salary range is typically between INR 25,00,000 to INR 50,00,000 per year, depending on experience.

5. What benefits does Coursera offer to its employees?

   Coursera offers a comprehensive benefits package including health insurance, paid time off, employee stock options, and retirement plans.

6. What is the career path for a Machine Learning Engineer II at Coursera?

   You can progress to Senior Machine Learning Engineer, Staff Engineer, or Principal Engineer, or explore management roles.

7. How does Coursera support employee growth and development?

   Coursera provides training programs, mentorship opportunities, and internal mobility options to support employee growth.

8. What is Coursera's mission?

   Coursera's mission is to provide universal access to world-class learning experiences.

9. How can I apply for the Machine Learning Engineer II position?

   Click on the "Apply Now" button on this page to submit your resume and cover letter.

10. What is the interview process like?

    The interview process includes a technical assessment and interviews with members of our Machine Learning team.