Job Location: New York, NY
Job Detail:
Staff Machine Learning Infra Engineer
Remote
US Based
$220,0000 – 250,000 base + Equity + Benefits
THE COMPANY
This disruptive start-up is changing how businesses use data. Strongly backed by Microsft this Ethical Tech company is using state-of-the-art tools and technology to ethically house/centralize third-party datasets eliminating the complexity created by managing multiple partners, varying quality and technical capability, and unclear ethical motivations.
THE ROLE
You will be part of our talented globally- connected Machine Learning team focused on providing major contributions to our product. With highly technical leadership and a small team, your impact on the product will directly impact the business and our clients. You will be in a role with great visibility and ownership of your work. On this team you will:
- You will be overseeing the machine learning infrastructure
- You will work with petabyte-scale data challenges, large-scale systems
- You will work with ML pipelines, data processing automation, data governance, data security, and data warehousing
- You will deploy models at scale and monitor the health of models in production
- You will be working on the design and development of the machine-learning platform
- You will work cross-functionally with the Dev op, DS, Software Engineers, and Platform Engineers to implement best practices for infrastructure and cloud environments
- Present your findings to business leaders and stakeholders within the company
YOUR SKILLS AND EXPERIENCE
You will need to be a proven problem solver, a self-starter, and have made end-to-end ML contributions to large data engineering projects and/or experience scaling Machine Learning infrastructure. A successful candidate will have the following skills:
- 5 or more years of commercial Machine Learning experience working primarily with infrastructure.
- Prior exposure to putting Machine Learning and Deep Learning models into production
- Commercial experience using petabyte-scale data and large-scale systems to solve key problems
- Ph.D. preferred in Computer Science, Linguistics, Engineering, Stats, or a related field
- You have experience in data engineering working with SQL, ETL, data modeling, and technologies similar to Spark, Scala, C#, Java
- Strong communicator with experience speaking to clients or stakeholders
- Experience working on NLP, AI, Recommendation systems or pattern recognition, and price prediction
THE BENEFITS
A base salary of $220,000 – $250,000 + Equity + Benefits
HOW TO APPLY
Please register your interest by sending your résumé to Jaashir Morris via the Apply link on this page.
KEYWORDS
Machine Learning | Engineering | Natural Language Processing | Machine Learning | start-up | Python | Data | Software Engineering | Azure | Infrastructure
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