Senior Machine Learning Platform Engineer

hace 2 semanas

Desde casa, México Scribd A tiempo completo

At Scribd (pronounced “scribbed”), our mission is to spark human curiosity. Join our team as we create a world of stories and knowledge, democratize the exchange of ideas and information, and empower collective expertise through our three products: Everand, Scribd, and Slideshare.

We support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer.

We love collaborating and investing time in our Scribd community, and we create intentional in-person moments with each other to build culture and connection. And, it is through our flexible work benefit - Scribd Flex - that we enable employees, in partnership with their manager, to choose the work-style that best suits their individual needs and preferences.

**About The Team**

The team is remote-first and is spread across time zones across North America and Europe. We use tools that emphasize asynchronous communication but also pair program or use online meetings when those are the best approaches. Regardless of the medium, excellent communication skills are a must. We operate with autonomy (developers closest to the code will make the most well-informed decisions) while holding ourselves and each other accountable.

**About You**

You are an experienced engineer looking for a new challenge and embrace learning new things. You have a passion for DevOps and Machine Learning. Solving challenging problems excites you and you don’t mind diving deep but you also know when to reach out to colleagues for help. You are strong at communicating and listening to customers to understand there needs.

**About the Role**
- Scribd is searching for an Engineer to join the Machine Learning Platform team, you will be a part of designing, implementing and supporting services, tools and infrastructure that makes up the machine learning platform.
- We recognize that everyone has a unique set of work and life experiences, and believe that a broader set of perspectives will produce better results for all. We continually strive for inclusivity and strongly value diversity. We support others' growth and celebrate our collective achievements.
- You will influence the future and direction of Machine Learning at Scribd

**Minimum Requirements**
- An appetite to learn and grow professionally
- Strong written and verbal communication skills (we're a remote team)
- You will be communicating directly with the data scientists and engineers using the platform to understand requirements and providing remote support.
- Software development background
- Expertise in programming and software engineering. Ability to read and write code in one or more languages ideally Go, Python, Ruby, and/or Scala code. Strong understanding of software design principles.
- Proficiency with common software development processes such as Agile development
- Ability to lead technical design discussions within your team, and across partner teams
- Experience working with infrastructure and a familiarity with Infrastructure best practices
- Mentoring skills: experience with training and educating teammates or colleagues

**Desired Skills**
- An understanding of AWS platform services
- Concepts of Data Engineering
- Infrastructure as code preferably Terraform
- Experience deploying Machine Learning models in production
- Experience with Machine Learning concepts and fundamentals

At Scribd, your base pay is one part of your total compensation package and is determined within a range. Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location. San Francisco is our highest geographic market in the United States. In the state of California, the reasonably expected salary range is between $143,000 [minimum salary in our lowest geographic market within California] to $231,000 [maximum salary in our highest geographic market within California].

In the United States, outside of California, the reasonably expected salary range is between $117,500 [minimum salary in our lowest US geographic market outside of California] to $219,500 [maximum salary in our highest US geographic market outside of California].

In Canada, the reasonably expected salary range is between $147,000 CAD[minimum salary in our lowest geographic market] to $217,750 CAD[maximum salary in our highest geographic market].

We carefully consider a wide range of factors when determining compensation, including but not limited to experience; job-related skill sets; relevant education or training; and other business and organizational needs. The salary range listed is for the level at which this job has been scoped. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for a competitive equity ownership, and a comprehensive and generous benefits package.

**Benefits, Perks, and Wellbeing a

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