Machine Learning Engineer II at Coursera

India

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

NoVisa

EdTech, Technology, EducationIndustries

Requirements

BS in Computer Science, or related area with 3 Years minimum Machine Learning Scientist or Engineer industry experience
Highly skilled with Java development, Python and SQL/MySQL
Highly skilled with proficiency in ML ops with experience in building large-scale ML applications, services, pipelines and architecture
Solid understanding and experience in system design of ML systems (design pattern, OOD, architecture, modules, interfaces, etc)
Highly skilled with distributed processing architecture and ML/data workflow management platform (Spark, Databricks, Airflow, Kubeflow, MLflow etc)
Experience with contain

Responsibilities

Work very closely with ML scientists and help them with model deployment in the production systems
Work very closely with ML scientists to find and solve engineering pain-points by building scalable, general-use platforms
Build scalable and reliable infrastructure and pipelines for data/feature processing and storage and also scalable training and evaluation infrastructure and pipelines to accelerate model development
Automate ML workflows to enhance productivity across training, evaluation, testing, and results generation
Partner with cross functional stakeholders to define a long-term vision for scaling ML/AI applications in production and help teams with their roadmap plannings

Skills

Key technologies and capabilities for this role

Machine LearningGenAIData Science

Questions & Answers

Common questions about this position

What is the salary range for the Machine Learning Engineer II position?

This information is not specified in the job description.

Is this Machine Learning Engineer II role remote-friendly?

Yes, Coursera enables flexibility and workspace choices, allowing employees to work from home, one of their offices or hubs, or a co-working space near them. Candidates must have eligible working rights in a country where Coursera has a legal entity and compatible timezone overlap with their team.

What are the key responsibilities for the Machine Learning Engineer II role?

The role involves working closely with ML scientists on model deployment in production systems, solving engineering pain-points by building scalable platforms, and developing scalable infrastructure and pipelines for data/feature processing and storage.

What is the company culture like at Coursera?

Coursera fosters a culture of innovation, diversity, and lifelong learning, seeking inventors, innovators, and lifelong learners to build transformative education tools. They are committed to building a globally diverse team and enabling flexibility in workspace choices.

What makes a strong candidate for the Machine Learning Engineer II position at Coursera?

Strong candidates are inventors, innovators, and lifelong learners with experience in ML engineering, particularly in building scalable infrastructure, pipelines, and platforms for model deployment and data processing, while being able to collaborate closely with ML scientists.

Coursera

Online platform for courses and degrees

About Coursera

Coursera is an online learning platform that provides a variety of courses, professional certificates, and degree programs. It allows users to access educational content from top universities and companies, catering to individuals who want to learn new skills or change careers, as well as businesses that need to train their employees. Users can take free courses or enroll in paid programs for professional certificates and degrees, which are important for the company's revenue. Coursera also offers a corporate training solution called Coursera for Business. The platform has a strong focus on in-demand skills, particularly in Artificial Intelligence, and offers flexible learning options, including the ability to start a degree program before officially enrolling. The goal of Coursera is to help users achieve their personal and professional aspirations through accessible and high-quality education.

Mountain View, CaliforniaHeadquarters

2012Year Founded

$431MTotal Funding

IPOCompany Stage

AI & Machine Learning, EducationIndustries

5,001-10,000Employees

Benefits

Lifelong learning - Coursera covers the cost of tuition so you can earn a free master’s degree and develop new skills. That’s on top of free, lifelong access to courses and certificates on the platform.

Health and wellness - We offer medical, dental, and vision insurance for you and your dependents. Plus, free access to counseling and mental health services.

Parental leave - Get up to 16 weeks of fully-paid parental leave when you grow your family and bring a new child into your life.

Make-a-thon - We host Make-a-thon events twice a year to promote community and innovation. During Make-a-thon, you’ll dedicate time to attend workshops, work on passion projects, and pursue ideas outside of your day-to-day work.

Time away - Take paid time off when you need it. We have time off policies that promote flexibility so you can tailor your work schedule when life calls.

Remote work - Our flexibility extends to where you work. You can choose to work from home, work from one of our offices, or try a combination of the two.

Equity - Employees earn company stock, so you can own what we build together and share in our success.

Risks

Increased competition from platforms like Seekho threatens Coursera's market share.

Rapid advancements in quantum computing could disrupt traditional e-learning platforms.

Dependency on Adobe's tools may limit Coursera's flexibility in course offerings.

Differentiation

Coursera partners with 140 top universities, offering exclusive high-quality educational content.

It provides flexible learning solutions, allowing learners to start degree programs before enrolling.

Coursera's collaboration with Adobe enhances its AI course offerings, setting it apart.

Upsides

Coursera's partnership with Oxford's Saïd Business School boosts its global reputation.

Investment from Franklin Resources indicates strong confidence in Coursera's growth potential.

Coursera is named top provider of Google Professional Certificates, enhancing its market appeal.

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