Senior Machine Learning Engineer

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November 5

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Clarity Innovations, Inc.

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Education • B2B • SaaS

Clarity Innovations, Inc. is a trusted partner for educational technology (edtech) strategy, content, design, and engineering, serving clients in the K-12 education space for nearly thirty years. They specialize in creating innovative solutions tailored to meet the unique needs of their partners, focusing on quality product development and user-friendly design. With a dedicated team of experts, Clarity Innovations collaborates closely with clients to enhance their educational offerings, ensuring successful project outcomes and impactful learning experiences.

11 - 50 employees

Founded 1996

📚 Education

🤝 B2B

☁️ SaaS

📋 Description

• Designing, implementing, and scaling data pipelines and feature stores to power ML and LLM use cases. • Building, training, and rigorously evaluating models using offline tests and online experiments. • Deploying models and services with CI/CD, containers, and orchestration frameworks. • Operating and monitoring production ML/LLM systems with strong observability and alerting. • Ensuring transparency, accuracy, and auditability of sustainability data through validation and lineage. Mentor teammates and implement best practices to accelerate the ML lifecycle. • Stay current with ML/LLM/agents research and translate it into pragmatic production solutions.

🎯 Requirements

• 3+ years of industry experience building and operating ML systems in production. • Strong Python and software engineering fundamentals (testing, code review, design, performance). • Proven experience deploying and operating ML models on cloud with containers and CI/CD. Experience with AWS and/or Kubernetes is a plus. • Hands-on MLOps experience: orchestration (e.g., Airflow), experiment tracking (e.g., MLflow), monitoring (e.g., LangFuse), and model registry. • LLM/Agent production experience: prompt/retrieval design, vector databases, tool use/agents, evaluation and safety/guardrails. Exposure to frameworks (e.g., LangChain/LangGraph/LlamaIndex) and providers (OpenAI/Anthropic/Hugging Face). • System design and architecture: deep understanding of tradeoffs (e.g., latency/throughput vs cost, micro-services vs monoliths, centralization vs federation, etc.). • Data engineering skills: SQL, data modeling, batch/stream processing; building reliable ETL/ELT pipelines. • University degree in CS/EE/STEM or related field • Self-starter, able to take ownership and initiative, with high energy and stamina • Decisive and action-oriented, able to make rapid decisions even when they are short of information • Highly motivated, independent and deeply passionate about sustainability and impact • Excellent oral and written English communication skills (minimum C1 level-proficient user).

🏖️ Benefits

• Competitive compensation, both in terms of base salary as well as equity plans that enable to you to share in our success • Flexibility in ways of working both in terms of your schedule as well as your location, whether you prefer to work from home, the office, or abroad with access to a global network of co-working spaces • Generous paid time off schemes, including vacation, sabbatical, religious observance and compensation days • Meaningful benefits including private healthcare coverage, fitness and wellness programs covered through Wellhub, working-from-home allowances to help you set up your home office and cover monthly expenses • Professional development with annual training budget for conferences, courses, certifications and access to top market e-learning platforms • Collaborative environment with multiple offices around the globe, regular team activities and events as well as employee-led resource groups