Machine Learning Engineer
Machine Learning Engineer
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1 Vacancy
Job Description
As part of the global Operations & Technology organization the Data & Analytics group (D&A) is focused on the data strategies for the future covering the entire analytics life cycle data engineering data architecture data platforms data analysis data viz and data science. We support NBCUs vast portfolio of brands from broadcast cable news and sports networks to film studios worldrenowned theme parks and a diverse suite of digital properties. We take pride in providing NBCUniversal with data to advise and shape strategic business decisions.
The Data & Analytics team is looking for a passionate Machine Learning Engineer adept at building the next generation of analytics solutions and ML pipelines. The candidate will be working closely with internal stakeholders data engineers visualization experts and other technologists across one or more of our main subject areas.
This role is right for you if you are a subject matter expert in designing endtoend data science solutions and can maintain the fine balance of business acumen and deep technical knowledge. You are a passionate problem solver who is looking to build the next generation of products and applications for ML models. You are also a handson coder and architect who can create scalable (even selfhealing) machinelearning pipelines in the cloud.
Responsibilities:
- Drive endtoend MLOps development to create scalable production ML pipelines (e.g. feature creation training and inference) for various linesofbusiness inclusive of Consumer Film Streaming and Ad Sales. These automated products will aid in the timely decisionmaking process for marketing strategy and targeted advertising
- Establish best practices for engineering monitoring operationalizing and improving automated ML models and APIs with consideration for the levels of user expertise cloud ecosystem capabilities and transferrable standards
- Lead the prototype architecture and selection of ML and Data Science platforms cognizant of the varied levels of user expertise technical capabilities and trends
- Partner closely with business product owners engineering and data science teams to implement design patterns that optimize performance cost security and scale and that complement companywide architectural standards
- Support advanced analytics efforts and deepdive analysis to answer specific business questions and develop augmentedanalysis tools to enable efficient business decisions
- Mentor and guide engineering and data science peers in building a comprehensive set of tools knowledge and standards that can be democratized across the organization
Qualifications :
- Strong understanding of applied statistics and machine learning algorithms experience in methodologies for regression classification clustering and causality
- 8 years of data science experience with demonstrated proficiency using SQL and Python in building analytical solutions
- 3 years of experience building productiondeployed wellmonitored MLOps solutions to solve business problems with particular preference for the media industry
- Experience in AutoML NLP and Deep Learning frameworks that enrich MLOps efficacy
- Intimate familiarity with ML architectures (e.g. MLflow) and workflows on the cloud (i.e. AWS GCP Azure)
- Handson experience with Snowflake Databricks Spark Airflow or related cloudbased bigdata storage and orchestration technologies
- Bachelors/Masters degree or equivalence with experience in Computer Science Data/Decision Science Data Engineering Quantitative Economics or Mathematics
Desired Characteristics:
- Direct experience working with media/entertainment and ad sales datasets and platforms is a plus Nielsen comScore FreeWheel mParticle and Salesforce
- Ability to report and demonstrate modeldevelopment progress to stakeholders by visualizing results and communicating plans benchmarks and improvements
- Strong understanding of Agile principles and best practices including CI/CD principles
- Comfortable with ambiguity and making decisions in a dynamic fastpaced environment
- Excellent verbal and written skills with the ability to communicate data stories effectively across all levels of the organization both technical and nontechnical
Additional Requirements:
- Fully Remote: This position has been designated as fully remote meaning that the position is expected to contribute from a nonNBCUniversal worksite most commonly an employees residence.
This position is eligible for company sponsored benefits including medical dental and vision insurance 401(k) paid leave tuition reimbursement and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. Salary range: $130000 $170000 (bonus eligible)
We are accepting applications for this position on an ongoing basis.
Additional Information :
As part of our selection process external candidates may be required to attend an inperson interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversals policy is to provide equal employment opportunities to all applicants and employees without regard to race color religion creed gender gender identity or expression age national origin or ancestry citizenship disability sexual orientation marital status pregnancy veteran status membership in the uniformed services genetic information or any other basis protected by applicable law.
If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability you have the right to request a reasonable accommodation. You can submit your request to .
For LA County and City Residents Only: NBCUniversal will consider for employment
qualified applicants with criminal histories or arrest or conviction records in a manner
consistent with relevant legal requirements including the City of Los Angeles Fair Chance
Initiative For Hiring Ordinance the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act where applicable.
Remote Work :
Yes
Employment Type :
Fulltime
Employment Type
Remote
