Full-Time

Full Stack Machine Learning Scientist

Posted on 4/19/2024

Coursera

1,001-5,000 employees

Offers online degrees and professional certificates

Data & Analytics

Education

Mid

Remote

Required Skills

Python

Tensorflow

Data Structures & Algorithms

Pytorch

SQL

Java

Quality Assurance (QA)

AWS

Natural Language Processing (NLP)

Computer Vision

Requirements

MS or Ph.D in in Computer Science, or related area with 3 Years minimum Machine Learning Scientist or Engineer industry experience
Experience with Python, Java, SQL
Knowledge in machine learning, computer vision, natural language processing, etc.
Experience with at least one deep learning framework (e.g., TensorFlow, PyTorch, Caffe, MxNET, etc)
Experience deploying ML services and applications to at least one major cloud platform (AWS)

Responsibilities

Prototyping and developing state-of-the-art machine learning algorithms
Drive Proof of Concepts (PoC) to explore high impact ML opportunities
Responsible for ML model deployment, model QA, ML maintenance/monitoring, and the optimization of model runtime performance and scalability in production
Work with Product and Business stakeholders to understand customer needs and translate them into ML problems
Works with Data Engineering and Product Engineering teams to ensure we have the right data, tools and infrastructures in place to deploy ML models in production
Set up project priorities, manage projects deadlines, and ensure projects deliverables

Coursera was launched in 2012 by two Stanford Computer Science professors, Andrew Ng and Daphne Koller, with a mission to provide universal access to world-class learning. It is now one of the largest online learning platforms in the world, with 148 million registered learners as of March 31, 2024.

Coursera partners with over 325 leading university and industry partners to offer a broad catalog of content and credentials, including courses, Specializations, Professional Certificates, Guided Projects, and bachelor’s and master’s degrees. Institutions around the world use Coursera to upskill and reskill their employees, citizens, and students in fields such as data science, technology, and business. Coursera became a B Corp in February 2021.

Join us in our mission to create a world where anyone, anywhere can transform their life through access to education. We’re seeking talented individuals who share our passion and drive to revolutionize the way the world learns.

We at Coursera are committed to building a globally diverse team and are thrilled to extend employment opportunities to individuals in any country where we have a legal entity. We require candidates to possess eligible working rights and have a compatible timezone overlap with their team to facilitate seamless collaboration. As a remote-first company, our interviews and onboarding are entirely virtual, providing a smooth and efficient experience for our candidates.

Job Overview:

At Coursera, our Machine Learning team is helping to build the future of education through AI such as the natural language process, computer vision, or generative models. We define, develop, and launch the models that power content discovery, personalized learning, machine translation, skill tagging, and machine-assisted teaching and grading. We believe the next generation of teaching and learning should be personalized, accessible, and efficient. With our scale, data, technology, and talent, Coursera and its machine learning team are positioned to make that vision a reality.

Responsibilities:

Prototyping and developing state-of-the-art machine learning algorithms
Drive Proof of Concepts (PoC) to explore high impact ML opportunities
Responsible for ML model deployment, model QA, ML maintenance/monitoring, and the optimization of model runtime performance and scalability in production.
Work with Product and Business stakeholders to understand customer needs and translate them into ML problems.
Works with Data Engineering and Product Engineering teams to ensure we have the right data, tools and infrastructures in place to deploy ML models in production.
Set up project priorities, manage projects deadlines, and ensure projects deliverables

Basic Qualifications:

MS or Ph.D in in Computer Science, or related area with 3 Years minimum Machine Learning Scientist or Engineer industry experience
Experience with Python, Java, SQL
Knowledge in machine learning, computer vision, natural language processing, etc.
Experience with at least one deep learning framework (e.g., TensorFlow, PyTorch, Caffe, MxNET, etc)
Experience deploying ML services and applications to at least one major cloud platform (AWS).

Preferred Qualifications:

Experience with MLOps
Experience with CI/CD/CT pipelines, integrated tests, and microservice architectures such as RESTful web-services
Experience with containerization such as Docker and Kubernates
Able to effectively deliver findings and recommendations to non-technical stakeholders in a clear and compelling fashion
Experience with contributing machine learning community by publishing papers in the top tier conferences such as CVPR, ICCV, ACL, EMNLP, KDD, ICML, NeruIPS, etc

If this opportunity interests you, you might like these courses on Coursera:

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Coursera is an Equal Employment Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, age, marital status, national origin, protected veteran status, disability, or any other legally protected class.

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, please contact us at [email protected].

For California Candidates, please review our CCPA Applicant Notice here.

For our Global Candidates, please review our GDPR Recruitment Notice here.

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Coursera

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Coursera provides a diverse range of online learning opportunities, partnering with leading universities and companies to offer degrees, certificates, and courses in vital areas like data science, project management, and cybersecurity. This focus on industry-demanded skills, combined with a culture that embraces Agile management principles and Scrum methodologies, makes it a dynamic place for professionals seeking to advance their education and career in a supportive and innovative environment.

Company Stage

Series F

Total Funding

$426.5M

Headquarters

Mountain View, California

Founded

2012

Growth & Insights

Headcount

6 month growth

↑ 2%

1 year growth

↑ 14%

2 year growth

↑ 31%

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.