ML Engineer (AI)
Team: Enterprise
Location: US
Employment type: FullTime
We’re hiring an ML Engineer to work on AI evaluation, synthetic data, and model safety at scale.
THE COMPANY BEHIND THE ROLE:
- Working on enterprise-grade AI systems and large-scale deployments.
- Strong expertise in AI, data, cloud, and analytics.
- Operating across the US, Europe, and other global markets.
- Projects focused on real-world AI applications and safety-critical systems.
Global technology consulting and engineering company with a strong focus on AI and data platforms.
YOUR IMPACT:
- Build and scale automated evaluation systems for AI models.
- Develop and train automated “judge” models to assess AI outputs.
- Design validation frameworks to ensure accuracy and reliability across languages.
- Create synthetic data pipelines to improve evaluation coverage.
- Build scalable analysis and reporting systems for AI performance.
- Work closely with language experts and cross-functional teams.
YOUR SUPERPOWER:
- 3+ years of experience in ML engineering or applied ML research.
- Experience training, fine-tuning, and evaluating language models or classifiers.
- Experience building data pipelines and automated evaluation or monitoring systems.
- Strong understanding of experimentation and statistical validation
- Fluent English.
TECH ENVIRONMENT (HIGH-LEVEL):
- Python.
- PyTorch / TensorFlow.
BONUS POINTS IF:
- Experience with synthetic data generation.
- Background in multilingual NLP.
- Experience with distributed ML systems (Spark, Ray, cloud).
WHY JOIN:
- Competitive compensation
- Comprehensive health coverage
- Top-tier hardware & tools
- Budget for learning
This role is open to candidates based in the US only. You must have valid work authorization. At this time, the company does not provide visa sponsorship.
