RESPONSIBILITIES:
A Kforce client in the entertainment/media industry in seeking a Machine Learning Engineer in New York, NY.Responsibilities:- Machine Learning Engineer will design and implement novel and scalable AI solutions for real business problems
- Design and implement workflows to generate and manage assets for live streaming and VOD
- Prototype new approaches and productionize solutions at scale for hundreds of millions of active users
- Uphold high standards of software craftsmanship while delivering impactful results
- Offer expert advice to engineering teams and project leaders to navigate technical challenges
- As a Machine Learning Engineer, you will ensure your team produces consistently trustworthy and high-quality technical outputs that influence the business
- Work closely with peers, engineering leadership, and product management to drive project success
REQUIREMENTS:
- Proven experience in Data Science and ML engineering
- Strong background in live media streaming and handling VOD content
- Strong understanding of Generative AI technologies and their underlying mechanisms
- Develop and refine creative writing prompts to guide our generative AI in producing relevant and engaging content
- Experience working with Vector databases
- Proficient in designing REST or GraphQL APIs
- Hands-on experience implementing production NLP and ML systems at scale
- Experience with TensorFlow, PyTorch, etc.
- Proficient with building batch and streaming data pipelines on cloud platforms
- Experience leveraging machine learning techniques for live and VOD assets
- Familiarity with Databricks for Data as well as ML workloads
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking "Apply Today" you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
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