Staff Machine Learning Engineer
Vancouver, Canada, & Toronto, Canada
Full Time Senior-level / Expert USD 178K - 240K
Course Hero
Course Hero is scaling! We are looking for a Staff Machine Learning Engineer who is ready to hit the ground running and work on a lot of innovative and exciting projects related to study and learning tools. You will be a part of the Study Solutions pod in the Study Experiences team at Course Hero and collaborate cross-functionally to ship products that personalize learning experiences for students.
You'll be a technical leader who provides mentorship to team members, drives execution on key projects and participates in the improvement of our software systems. We expect you to thrive in a fast-paced, high-growth environment, and adapt to ever-changing business needs. You can view these videos to learn more about our engineering culture, and our company mission.
Here are some ways you’ll make an impact:
- Be a self motivated, bold thinker, innovator and builder of innovative ML algorithms and embrace full stack data science.
- Design and develop machine learning techniques to precisely identify questions and provide accurate and contextually relevant answers.
- Collaborate cross-functionally with product owners and UX designers to conceptualize, execute, and deliver compelling and personalized intelligent study experiences.
- You’ll help engineers from other teams to understand and learn about machine learning and help Course Hero be a data driven company.
Are you our Staff Machine Learning Engineer?
- 8+ years of relevant experience in building Machine Learning algorithms and systems, preferably with a focus on natural language processing, computational linguistics, and question-answering.
- 3+ years of experience using ML frameworks Scikit-Learn, PyTorch, or Tensorflow.
- 4+ years of solid programming experience in Python or Scala.
Bonus Points:
- Experience in working with Spark, Hive.
- Very passionate about education.
- PhD or Master's degree in an applicable field like Computer Science, Machine Learning, Mathematics, or a similar field, or equivalent experience working on complex & large size ML projects.
Benefits & Perks!
- Competitive salary, annual bonus, and RSUs
- Medical coverage, including full dental and vision
- Life and disability benefits
- 401(k) program (US) / retirement savings plan (Canada) with company match
- One month paid sabbatical after 5 years at the company
- Education reimbursement
- Professional development workshops & industry conferences
- Paid parental leave
- Flexible work schedule
- Social responsibility program (volunteer time off and donation matching)
- Annual wellness stipend
- Monthly tech stipend
- Annual family planning stipend
- Quarterly snack boxes delivered to your door
- Cell phone allowance
For positions in San Francisco, CA, and other locations where required, we will consider for employment qualified applicants with arrest and conviction records. Other locations: IL, MA, NJ.
Research shows that candidates from underrepresented backgrounds often don't apply for roles if they don't meet all the criteria. We strongly encourage you to apply if you're interested: we'd love to learn how you can amplify our team with your unique experience!
We are a virtual-first company and have employees dispersed throughout the United States and Canada. We have a market-based pay structure that varies by location. The base pay for this position is dependent on multiple factors, including candidate experience and expertise, and may vary from the amounts listed below. You may also be eligible to participate in our bonus program and may be offered an equity award, benefits, and other types of compensation.
This role is eligible for hire in Vancouver & Toronto, Canada.
#Canada #LI-HybridIn accordance with Canadian law, the base salary for this role if filled within Canada is as follows.
Canada Pay Range$178,000—$240,000 CADEqual Employment Opportunity Statement (EEO)
We are an equal opportunity employer and value diversity and inclusion within our company. We will consider all qualified applicants without regard to race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, or ability status. We will ensure that individuals who are differently abled are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment as provided to other applicants or employees. Please contact us to request accommodation.
About Course Hero:
Course Hero is on a mission to help students graduate, confident and prepared. The online learning platform offers over 60 million course-specific study resources created by and for students and educators, as well as 24/7 tutor help. More than 65,000 verified college educators use Course Hero to collaborate with other faculty and share resources to hone new strategies for instruction. Everyday, students, educators and tutors help more than 20 million students make every study hour count.Join us on our mission!
Tags: CAD Computer Science Engineering Linguistics Machine Learning Mathematics NLP PhD Python PyTorch Research Scala Scikit-learn Spark TensorFlow UX
Perks/benefits: 401(k) matching Career development Cell phone stipend Competitive pay Conferences Equity Flex hours Flex vacation Gear Health care Medical leave Paid sabbatical Parental leave Salary bonus Startup environment Wellness
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