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.
About Tritonium: Tritonium is an AI-powered SaaS platform that transforms app store reviews into actionable insights for mobile product teams. Our infrastructure processes millions of reviews, orchestrates AI analysis pipelines, and delivers real-time intelligence to customers globally. We're looking for a DevOps/Platform Engineer to own our infrastructure, improve reliability, and scale our systems as we grow. Job Responsibilities: Own and evolve our cloud infrastructure, ensuring high availability, security, and cost efficiency. Design and maintain CI/CD pipelines that enable fast, reliable deployments across multiple environments. Implement infrastructure-as-code practices to ensure reproducible, version-controlled infrastructure. Build and improve monitoring, alerting, and observability systems to detect and resolve issues quickly. Optimize cloud costs through right-sizing, reserved capacity planning, and architectural improvements. Implement and maintain security controls including network isolation, secrets management, and access policies. Support multi-region deployment strategies for improved latency and disaster recovery. Collaborate with backend engineers to optimize serverless architectures and event-driven systems. Establish and document operational runbooks and incident response procedures. Evaluate and introduce new tools and practices that improve developer productivity and system reliability. Minimum Requirements: 4+ years of experience in DevOps, SRE, or platform engineering roles. Strong experience with major cloud platforms and serverless architectures. Proficiency with infrastructure-as-code tools (CloudFormation, Terraform, or similar). Experience building and maintaining CI/CD pipelines (GitHub Actions, GitLab CI, or similar). Solid understanding of networking concepts: VPCs, subnets, load balancing, DNS. Experience with monitoring and observability tools (CloudWatch, Datadog, Prometheus, or similar). Scripting proficiency in Python, Bash, or similar languages. Understanding of security best practices for cloud infrastructure. Ability to work independently in a fully remote environment. Preferred Skills: Experience with serverless architectures at scale (Lambda, API Gateway, EventBridge, or equivalents). Familiarity with NoSQL databases and their operational characteristics. Experience implementing disaster recovery and business continuity solutions. Background in cost optimization for cloud infrastructure. Experience with container orchestration (ECS, Kubernetes) as a complement to serverless. Knowledge of compliance frameworks (SOC2, GDPR) and their infrastructure implications. Experience supporting ML/AI workloads and batch processing systems. Strong documentation skills and ability to create operational runbooks. Why Join Tritonium? Own the infrastructure that powers an AI-driven product used by mobile teams worldwide. Work on interesting challenges: serverless at scale, event-driven architectures, cost optimization. Shape infrastructure practices and tooling from the ground up. Enjoy the flexibility of a fully remote position with competitive compensation and equity. Direct impact on platform reliability and developer experience. To Apply: Interested candidates are invited to submit their resume and a brief description of an infrastructure challenge you solved to hello@tritonium.com with "Remote DevOps/Platform 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.