- Develop robust, scalable production ML systems using technologies such as Python, Tensorflow, Airflow, Kafka, PostgreSQL, Redis, AWS.
- Evaluate trade-offs and do performance tuning for production traffic.
- Work closely with Data Scientists to take prototype algorithms and models and turn them into customer-facing solutions.
- Use your engineering expertise to help build solutions to novel problems in software development, data engineering, and machine learning.
- Provide technical leadership and mentoring to more junior MLEs, knowing both when to step back and when to step in.
- Build data pipelines. Transform and convert data streams into structures needed for algorithm input.
- Collaborate with Product Managers and UX Designers to better understand the customer, providing valuable input into functional design and usability.
- Evaluate the efficiency of user experiences and ML algorithms, determining what data is needed and how to collect it, with an understanding of how these metrics are connected to desired business outcomes.
- Apply your experience to make intelligent, forward-thinking, technical decisions to our development process, including implementing new standards, tools, APIs, and workflows.
- You have a passion to use machine learning to deliver product personalization at scale and the skills to go with it.
- You have several years of experience building production machine learning systems services as part of a product development team, ideally in the context of recommendations and/or personalization.
- You have worked in a collaborative development environment and have experience with continuous integration and delivery.
- You are a strong Python developer, know your way around TensorFlow, and are proficient with data structures and database fundamentals. Experience with Node and Typescript are helpful.
- You have a solid base in Computer Science and Applied Mathematics, including an understanding of the fundamentals of Machine Learning. Regardless of your formal training, you get excited about reading up on modern machine learning techniques and applications.
- You care about writing good code and building great software. You understand the trade-offs when we have to move faster, but you know what quality means and how to get there when we need to.
- You are comfortable moving up and down the stack. It matters less that you know the exact frameworks and tools that we use, but you must be willing and able to learn very quickly.
- You are good at breaking down sophisticated features into smaller, more manageable tasks. You have the ability to explain machine learning solutions to developers and other team members, regardless of their technical background.
- You love exploring new technologies and keeping your own technical skills sharp.
- You are attentive to quality code and processes.
- You have a passion for collaboration, innovation, learning, and excellence.
- You learn from the technical abilities of those... For full info follow application link.
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Senior Machine Learning Engineer - Draper, United States - Pluralsight
Description
Job Description:
The Opportunity In this role you will be a part of a product development team that delivers personalized experiences to Pluralsight's learners.
You'll help our learners discover content that is relevant to their interests and goals, provide them with a homepage tailored just to their needs, and ensure they are receiving the right communication and assistance with their learning journey at the right time.
You'll be a part of a team that is user focused, has a mentality for experimentation, and iterates quickly.As an experienced machine learning engineer, your expertise will be vital to solving sophisticated problems and building the algorithms and frameworks that accelerate our personalization capabilities.
What you'll own:
Experience and attitude you'll need:
Who you're committed to being:
