Machine Learning Engineer
Englewood Cliffs, New Jersey, United States
Applications have closed
Company Description
NBCUniversal owns and operates over 20 different businesses across 30 countries including a valuable portfolio of news and entertainment television networks, a premier motion picture company, significant television production operations, a leading television stations group, world-renowned theme parks and a premium ad-supported streaming service.
Here you can be your authentic self. As a company uniquely positioned to educate, entertain and empower through our platforms, Comcast NBCUniversal stands for including everyone. We strive to foster a diverse and inclusive culture where our employees feel supported, embraced and heard. We believe that our workforce should represent the communities we live in, so that together, we can continue to create and deliver content that reflects the current and ever-changing face of the world. Click here to learn more about Comcast NBCUniversal’s commitment and how we are making an impact.
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 NBCU’s vast portfolio of brands – from broadcast, cable, news, and sports networks to film studios, world-renowned 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.
The Data & Analytics ML Engineering role is right for you if you are a subject matter expert in designing end-to-end 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 hands-on coder and architect who can create scalable (even self-healing) machine-learning pipelines in the cloud.
- Drive end-to-end MLOps development to create scalable production ML pipelines (e.g., feature creation, training, and inference) for various lines-of-business, inclusive of Consumer, Film, Streaming, and Ad Sales. These automated products will aid in the timely decision-making 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 company-wide architectural standards
- Support advanced analytics efforts and deep-dive analysis to answer specific business questions, and develop augmented-analysis 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
- 5+ years of data science experience, with demonstrated proficiency using SQL and Python in building analytical solutions
- 3+ years of experience building production-deployed, well-monitored 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)
- Hands-on experience with Snowflake, Databricks, Spark, Airflow, or related cloud-based big-data storage and orchestration technologies
- Bachelor's/Master’s degree – or equivalence with experience – in Computer Science, Data/Decision Science, Data Engineering, Quantitative Economics, or Mathematics
Desired Background
- 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 model-development 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, fast-paced environment
- Excellent verbal and written skills with the ability to communicate data stories effectively across all levels of the organization, both technical and non-technical
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: $130,000 - $170,000.
Additional Information
NBCUniversal's 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. NBCUniversal will consider for employment qualified applicants with criminal histories in a manner consistent with relevant legal requirements, including the City of Los Angeles Fair Chance Initiative For Hiring Ordinance, where applicable.
If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access nbcunicareers.com as a result of your disability. You can request reasonable accommodations in the US by calling 1-818-777-4107 and in the UK by calling +44 2036185726.
Tags: Agile Airflow APIs Architecture AWS Azure CI/CD Classification Clustering Computer Science Data analysis Databricks Deep Learning Economics Engineering GCP Machine Learning Mathematics MLFlow ML models MLOps NLP Pipelines Python Salesforce Security Snowflake Spark SQL Statistics Streaming
Perks/benefits: Career development Health care Insurance Medical leave
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Data Science Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Manager jobs
- Open Data Engineer II jobs
- Open Power BI Developer jobs
- Open Principal Data Engineer jobs
- Open Sr Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Data Scientist II jobs
- Open Product Data Analyst jobs
- Open Senior Data Architect jobs
- Open Sr. Data Scientist jobs
- Open Business Data Analyst jobs
- Open Big Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Azure Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Data Product Manager jobs
- Open Data Quality Analyst jobs
- Open Junior Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open GCP-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Java-related jobs
- Open Privacy-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open Snowflake-related jobs
- Open Consulting-related jobs
- Open TensorFlow-related jobs
- Open PhD-related jobs
- Open CI/CD-related jobs
- Open NLP-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open LLMs-related jobs
- Open Databricks-related jobs
- Open Data warehouse-related jobs