Tritonium seeks a skilled Remote Senior ML/AI Engineer to optimize AI systems and build next-gen intelligence capabilities. Focus on NLP, cost optimization, and scalable AI workloads. Join a small, high-impact team shaping global mobile user understanding.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
About Tritonium:
Tritonium is an AI-powered SaaS platform transforming how mobile product teams understand their users. We process millions of pieces of user feedback and turn them into actionable insights using state-of-the-art language models. Our platform helps growth-stage companies protect their app ratings, prioritize the right features, and respond to users at scale. As we expand globally, we're seeking a skilled Remote Senior ML/AI Engineer to optimize our AI systems and build the next generation of our intelligence capabilities.
Job Responsibilities:
- Design and optimize AI inference pipelines to maximize quality while minimizing cost at scale.
- Develop and improve natural language processing capabilities including sentiment analysis, topic extraction, and intent classification across multiple languages.
- Build and maintain batch processing systems for cost-efficient AI workloads without sacrificing user experience.
- Collaborate with product and engineering teams to translate business requirements into ML solutions that deliver measurable value.
- Implement evaluation frameworks and monitoring systems to ensure AI output quality and detect model drift.
- Research and prototype new AI/ML approaches to expand platform capabilities, including predictive analytics and anomaly detection.
- Optimize prompt engineering and model selection strategies to balance accuracy, latency, and cost.
- Contribute to architectural decisions around AI infrastructure and help establish ML engineering best practices.
Minimum Requirements:
- Bachelor's degree in Computer Science, Machine Learning, or a related field.
- 4+ years of experience in ML engineering, with demonstrated work on production NLP systems.
- Strong programming skills in Python and experience with ML frameworks and libraries.
- Experience with large language models (LLMs) including prompt engineering, fine-tuning approaches, and inference optimization.
- Hands-on experience with cloud-based AI/ML services and serverless architectures.
- Understanding of NLP fundamentals: text classification, named entity recognition, sentiment analysis, and text embeddings.
- Experience building data pipelines that feed ML systems at scale.
- Strong analytical skills and ability to work independently in a fully remote environment.
Preferred Skills:
- Master's degree or Ph.D. in Machine Learning, NLP, or related field.
- Experience with batch inference systems and cost optimization strategies for AI workloads.
- Familiarity with multi-language NLP and machine translation systems.
- Experience building ML systems for SaaS products with multi-tenant architectures.
- Knowledge of MLOps practices: model versioning, A/B testing, and automated retraining pipelines.
- Experience with time-series forecasting and predictive analytics.
- Strong communication skills with the ability to explain complex ML concepts to non-technical stakeholders.
Why Join Tritonium?
- Shape the AI core of a product used by mobile teams worldwide to understand their users better.
- Enjoy the flexibility and work-life balance of a fully remote position.
- Work on challenging problems at the intersection of NLP, cost optimization, and product impact.
- Join a small, high-impact team where your contributions directly affect company trajectory.
- Competitive compensation with equity participation.
To Apply:
Interested candidates are invited to submit their resume, a cover letter describing a challenging ML problem you've solved, and any relevant project samples or publications to hello@tritonium.com with "Remote Senior ML/AI Engineer Application" as the subject line.
Tritonium is committed to diversity and inclusion and encourages applications from all qualified individuals, including those from diverse backgrounds and underrepresented groups.