OVERVIEW OF THE COMPANYFox Corporation
Under the FOX banner, we produce and distribute content through some of the world’s leading and most valued brands, including: FOX News Media, FOX Sports, FOX Entertainment, FOX Television Stations and Tubi Media Group. We empower a diverse range of creators to imagine and develop culturally significant content, while building an organization that thrives on creative ideas, operational expertise and strategic thinking.JOB DESCRIPTIONAs a Staff Software Engineer, you will play a pivotal role in the development of innovative AI applications, services, and tools. You will leverage your extensive experience in applying AI/ML to drive business value, thrive in our fast-paced environment, and contribute to the advancement of emerging technologies. Your past experience in digital media and video will be instrumental in building dynamic workflows and orchestrations for both live and VOD (Video on Demand) content. Your expertise in multi-cloud environments such as AWS, GCP, and Databricks will be crucial in our distributed computing landscape. We work on cutting edge projects using AI that includes building conversational agents using LLMs, generating automatic highlights, contextualizing videos and articles at scale, driving live storytelling, powering bleeding edge consumer products and features.
If you are passionate about building the future of AI applications and have the expertise to thrive in a dynamic and fast-paced environment, we would love to hear from you!
ABOUT US
Innovative Environment: Work on cutting-edge projects in AI and ML
Collaborative Culture: Join a team that values collaboration and continuous learning
Career Growth: Opportunities for professional development and career advancement
Impactful Work: Contribute to projects that have a significant impact on the business and industry
ABOUT YOU
Balanced Skill Set: Ability to assess and understand complex systems quantitatively and qualitatively, coupled with high emotional intelligence (EQ) to act as a product ambassador
Superb Communication: Exceptional communication skills to cultivate strong working relationships, communicate effectively, write meticulously, and give outstanding presentations to both technical and creative audiences
Business Translation: Ability and passion to translate business objectives into actionable analyses and analytic results into business and product recommendations
A SNAPSHOT OF YOUR RESPONSIBILITIES
AI at Scale: Design and implement novel and scalable AI solutions for real business problems
Develop Dynamic Workflows: Design and implement workflows to generate and manage assets for live streaming and VOD
Prototype and Scale Solutions: Prototype new approaches and productionize solutions at scale for hundreds of millions of active users
Maintain Craftsmanship: Uphold high standards of software craftsmanship while delivering impactful results
Provide Expert Guidance: Offer expert advice to engineering teams and project leaders to navigate technical challenges
Cultivate Inclusive Culture: Instill an innovative and collaborative culture within your team and the broader organization
Ensure Quality Outputs: Ensure your team produces consistently trustworthy and high-quality technical outputs that influence the business
Collaborate Effectively: Work closely with peers, engineering leadership, and product management to drive project success
Promote ML Best Practices: Role-model and promote best practices of ML model development, testing, and evaluation throughout the organization
Engage with ML Practitioners: Be part of an active group of machine learning practitioners across the organization.
WHAT YOU WILL NEED
Software Engineering Experience: Proven experience in software engineering, data science, and ML engineering
Media Streaming Expertise: Strong background in live media streaming and handling VOD content
Gen AI: Strong understanding of generative AI technologies and their underlying mechanisms
Prompt Engineering: Develop and refine creative writing prompts to guide our generative AI in producing relevant and engaging content
Vector Database Proficiency: Experience working with vector databases
API Design: Proficient in designing REST or GraphQL APIs
ML Systems at Scale: Hands-on experience implementing production NLP and ML systems at scale using Python, Java, Scala, or similar languages
ML Frameworks: Experience with TensorFlow, PyTorch etc.
Distributed Systems Design: Solid understanding of designing distributed systems
Data Pipelines: Proficient with building batch and streaming data pipelines on cloud platforms
NICE TO HAVE, BUT NOT A DEALBREAKER
ML for Media: Experience leveraging machine learning techniques for live and VOD assets
Search Clusters: Capable of designing and implementing search clusters using OpenSearch or Elasticsearch
AI Ethics: Familiarity with AI ethics, including understanding and mitigating biases in AI outputs
Software Design Patterns: Deep understanding of software design patterns and domain-driven design
Academic Excellence: Relevant academic work or research in AI/ML, software engineering, or related fields
Agile Processes: Passion for agile software processes, data-driven development, reliability, and disciplined experimentation
Research Engagement: Regularly survey research publications in machine learning and software engineering communities
Customer Focus: A passion for understanding and serving customers' needs, ensuring their satisfaction and success
#Ll-KD1
#Ll-Hybrid
Learn more about Fox Tech at https://tech.fox.com
#foxtechWe are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.
At FOX, we foster a culture and environment where everyone feels welcome and can thrive. We are deeply committed to diversity, equity, and inclusion, including attracting, retaining, and promoting diverse talent across our company. We live in a diverse world, with different ideas and different perspectives that come together to spark new ideas and make great things happen. That means reflecting the diversity of the world around us is critical to our company’s success. We ensure that our viewers, communities and employees feel heard, represented, and celebrated both on screen and off.
Click here to learn more about the diverse communities of people behind our brands.
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