Principal Machine Learning Engineer

Remote • Posted 16 hours ago • Updated 16 hours ago
Contract W2
Contract Independent
Remote
$70 - $80/hr
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Fitment

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Job Details

Skills

  • ML/Applied AI
  • real-time ML systems
  • graph ML
  • RL
  • representation learning
  • background in gaming
  • Vertex AI
  • SageMaker

Summary

Job Description:
  • Architect multi-model systems combining skill, preference, trust, and safety signals for fair and meaningful matchmaking
  • Develop models for skill inference, player behavior prediction, trust & safety signals, and multi-objective optimization across fairness, latency, and experience quality.
  • Build and optimize real-time inference systems for personalized content, store offers, matchmaking, and player interactions at global scale.
  • Drive adoption of advanced modeling approaches including contextual bandits, reinforcement learning, graph ML, and session-aware personalization.
  • Partner with Data Engineering and Product to shape data schemas, feature pipelines, telemetry standards, and model observability across the ML lifecycle.
  • Define Responsible AI standards and implement fairness audits, bias mitigation, transparency, and safety mechanisms for matchmaking and social systems.
  • Lead post-launch evaluations of algorithmic impact on player sentiment, community health, and ecosystem stability.
  • Set organization-wide standards for model optimization (latency, throughput, memory), multi-model orchestration, and drift detection.
Required Qualifications:
  • 10+ years in ML/Applied AI; 3+ years in principal/staff-level technical leadership.
  • Experience with large-scale, real-time ML systems (recommendations, personalization, matchmaking).
  • Expertise in graph ML, RL, and representation learning.
  • Proficiency in PyTorch, TensorFlow, JAX, and modern data/serving tools (Ray, Kafka, Flink, Redis).
  • Strong grounding in A/B testing, experiment design, and experience metrics.
  • Track record of setting ML strategy and standards across teams.
Desired Qualifications:
  • Professional background in gaming
  • Familiarity with Vertex AI, SageMaker, or internal large-scale inference systems.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91097117
  • Position Id: 8940099
  • Posted 16 hours ago

Company Info

About Cloud Destinations LLC

One of the leading US-based staffing and IT consulting partner. Experience exceptional service and top-tier talent across industries. Count on us for staffing solutions that cater to the unique demands of the American market.

Our experienced recruiters ensure a seamless fit within your team, accelerating success. But we go beyond staffing and empower employees with fully sponsored certification programs, keeping them ahead. Experience comprehensive benefits including health, wellness coverage, dental insurance, vision insurance, as well as flexible hours, remote work options, and a robust 401K plan to ensure a secure future at the companies we represent.

At Cloud Destinations, we bring industry expertise and a passion for excellence. From Enterprise Cloud Strategy to Managed Infrastructure Services, Digital Transformation, BI & Data Analytics, Security, Data Engineering, and more, we navigate the IT landscape with finesse. Choose us as your trusted partner, witness transformative talent and exceptional service. Let's unlock new possibilities and drive your success in the dynamic world of IT together.

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