Search Remote Jobs

Machine Learning Engineer

đŸ”„ 14 hours ago

🏄 California, Colorado, +2 more states – Remote

infoinfo

đŸ’” $124k - $186k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

đŸ€– Machine Learning Engineer

🩅 H1B Visa Sponsor

infoinfo

đŸ‘» Ghost score 0%

infoinfo
Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Logo of Paramount

Paramount

10,000+ employees

Founded 1912

đŸ’Œ Consulting

📣 Marketing

đŸ“± Media

Consulting ‱ Marketing ‱ Media

Paramount is a global multimedia entertainment and news company that offers a range of services including direct-to-consumer digital subscription video on-demand and live streaming through Paramount+. It also owns Pluto TV, a leading free streaming television service, MTV, the world’s premier youth entertainment brand, and CBS Sports, a leader in television sports broadcasts. Paramount Pictures, since 1912, has been a legendary producer and distributor of films, hosting a library of over 1,000 titles. The company is deeply committed to inclusion and impact, focusing on diversity, global sustainability, and content that affects change. Being a significant player in both live and on-demand streaming services, Paramount embraces a wide array of content from sports to kids’ entertainment, comedy, and groundbreaking documentaries, impacting both linear and streaming platforms globally.

📋 Description

‱ Build models for Channel, Guide, and Schedule personalization ‱ Design and deploy ML components for channel ranking and guide personalization ‱ Work with linear scheduling data to create features for current versus next program relevance ‱ Use Qdrant to group similar channels and content ‱ Train and iterate on TensorFlow/PyTorch models focused on session-start and watch-time metrics ‱ Own defined tasks from data exploration through production deployment ‱ Transform the electronic programming guide into a personalized, data-driven discovery engine

🎯 Requirements

‱ Minimum 3+ years in MLE ‱ Proficiency in Python and SQL ‱ Experience with TensorFlow/PyTorch ‱ Experience with GCP ‱ Knowledge of FAST or Broadcast TV data structures preferred ‱ Experience with Qdrant or similar vector databases preferred

đŸ–ïž Benefits

‱ Medical insurance ‱ Dental insurance ‱ Vision insurance ‱ 401(k) plan ‱ Life insurance coverage ‱ Disability benefits ‱ Tuition assistance program ‱ Paid time off (PTO) ‱ Bonus eligibility ‱ Opportunities for on-site and virtual engagement events ‱ Opportunities to make meaningful connections and build a vibrant community ‱ Reasonable accommodation for qualified individuals with a disability or disabled veteran

Apply Now

Similar Jobs

đŸ”„ 18 hours ago

Horizon3.ai

51 - 200

🔒 Cybersecurity

đŸ€– Artificial Intelligence

☁ SaaS

Senior ML Engineer productionizing defensive AI models for Horizon3’s autonomous cybersecurity platform. Building ML pipelines, inference infrastructure, releases, monitoring, and tenant-isolated data systems.

🕒 Yesterday

Rackner

11 - 50

đŸ’Œ Consulting

đŸŽ–ïž Defense

đŸ€– Artificial Intelligence

AI/ML Engineer developing and governing AI automations, analytics, and LLM solutions for Rackner’s U.S. government software consultancy. Supporting responsible AI adoption across federal mission environments.

🕒 3 days ago

Abbott

10,000+ employees

đŸ„ Healthcare

⚕ Healthcare Insurance

🧬 Biotechnology

Senior AI/ML Engineer architecting Abbott’s generative AI platform for life sciences. Developing validated, reusable solutions supporting cancer diagnostics, precision oncology, and medical operations.

🕒 3 days ago

Abbott

10,000+ employees

đŸ„ Healthcare

⚕ Healthcare Insurance

🧬 Biotechnology

Sr. AI/ML Engineer architecting Abbott’s generative AI platform for science and medical functions. Developing validated AI solutions for advanced cancer screening and precision oncology.

🕒 3 days ago

CloudBolt Software

51 - 200

☁ SaaS

🏱 Enterprise

💳 Fintech

Senior ML Engineer building CloudBolt’s recommendation engine for Kubernetes resource optimization. Reducing SaaS customers’ cloud spending through safe forecasting and production ML systems.