Experience Requirements:

• Entry-level

Other Requirements:

• Quickplay staff reports into offices in a hybrid capacity

Responsibilities:

• Passionately work on some of the toughest use cases in OTT video

• Aspire to be part of a high-performing, learning-oriented, and caring culture

Experience Requirements:

• 8+ years in applied AI / ML technologies

• 2+ years leading teams (hiring, mentorship, performance management)

• Deep experience with time-series ML at scale

• Proven track record of shipping and operating AI / ML solutions in production

• Strong Python and engineering fundamentals

Other Requirements:

• Strong communication, comfortable working directly with customers and cross-functional teams

• Experience with frequency-domain time-series techniques and control/optimization methods

• Robotics and / or Industrial domain experience (bonus)

• Experience contributing to IP strategy, invention disclosures, and patent filings (bonus)

Responsibilities:

• Own the end-to-end lifecycle: problem framing, data readiness, modeling, deployment, monitoring, and iteration

• Define and execute roadmap areas like anomaly/event detection, asset/process health, and root-cause support

• Build scalable foundations for baselines, drift detection, model observability, and incident response

• Partner with industrial customers and SMEs to translate process constraints into ML/optimization solutions

• Lead and mentor DS talent, set processes, frameworks, and quality standards