Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Trivelta

Senior Machine Learning Engineer – Implementation, Scale

Trivelta

Senior ML Engineer focused on designing and optimizing ML models for Trivelta's gaming technology. Collaborating with engineers to integrate models into user products while maximizing performance.

Posted 6/9/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies
GoPythonPyTorchSparkSQLTensorflow

About the role

Key responsibilities & impact
  • Model Implementation: Design, train, and fine-tune state-of-the-art ML models (Deep Learning, Transformers, Gradient Boosting, etc.) specifically optimized for our internal datasets.
  • End-to-End Pipeline Development: Build and maintain robust data pipelines and training workflows to ensure reproducible and scalable model development.
  • Optimization & Performance: Profile and optimize model latency and throughput for production environments.
  • Data Centricity: Perform deep exploratory data analysis (EDA) to identify biases, signal-to-noise ratios, and feature engineering opportunities within our unique data silos.
  • Collaboration: Work closely with Data Engineers to streamline data ingestion and Backend Engineers to integrate model APIs into our user-facing products.

Requirements

What you’ll need
  • 5+ years of professional experience in Machine Learning or Software Engineering, with at least 3 years focused on deploying models to production.
  • Expert-level Python (and ideally C++ or Go for performance-critical components).
  • Deep fluency in PyTorch, TensorFlow, or JAX.
  • Experience with SQL, Spark, and vector databases (e.g., Pinecone, Milvus).
  • Familiarity with Weights & Biases, MLflow, Kubeflow, or similar orchestration tools.
  • Strong understanding of linear algebra, calculus, and statistics as applied to ML optimization.
  • MS or PhD in Computer Science, Mathematics, or a related field (or equivalent 'battle-tested' industry experience).

Benefits

Comp & perks
  • Health insurance
  • Remote work options

ATS Keywords

✓ Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Machine LearningDeep LearningTransformersGradient BoostingPythonC++GoPyTorchTensorFlowJAX
Soft Skills
Collaboration
Certifications
MS in Computer SciencePhD in Computer ScienceMS in MathematicsPhD in Mathematics