Measurement, Evaluation & Learning (MEL) Associate Application Deadline: 20 April 2026 Department: Measurement, Evaluation, Learning (MEL) Team Employment Type: Full Time Location: Remote / Flexible Location Description We're looking for an innovative Measurement, Evaluation & Learning (MEL) Associate with a unique combination of skills who wants to play a major role in tackling climate change. You’ll be joining our CommsHub team, which combines pooled funding, aligns strategy development, and provides technical support to supercharge the climate movement’s ability to pursue innovative, scaled, measurable, and impactful strategic communications. If this sounds like you, we'd love for you to apply. How you'll contribute - Write and edit case studies and impact highlights that showcase the impacts and achievements of grantees - Design and implement frameworks and methodologies for case studies, impact highlights, and grant-specific MEL activities. - Conduct interviews, collect written and visual materials, and liaise with grantees to gather the necessary inputs for those case studies and impact highlights - Establish processes for ensuring data quality, consistency, and alignment with organizational objectives. - Track and coordinate grant reporting for the larger team, including keeping track of deadlines as well as informing others of the materials, KPIs and documents they will need to provide - Help draft funder reports and presentations, coordinating with the Executive Director and senior leadership team as well as other key team members - Engage with and advise colleagues at aligned regranters and other relevant institutions to support learning and advances in MEL frameworks and approaches - Contribute to the development of a MEL framework for specific workstreams and grants, working with the Meliore Director of Impact & Evaluation as well as the Executive Director - Along with the rest of the team, keep an eye on legal and contractual compliance when reviewing materials - Any other duties to be assigned from time to time Our ideal candidate has To succeed in this role, you will have all 4 of the below qualities: - The ability to scan and synthesize large volumes of information and identify the compelling stories or points of evidence - Excellent writing and editing skills, to help tell the stories of strategic communications projects around the world - A proven track record of coordination and project management, working with multiple team members and partners across multiple projects - Fluency in written and spoken English, our working language; Nice to haves: - Experience in philanthropy or the non-profit sector is a major asset, including MEL, grant writing or communications - A genuine interest in and passion for addressing climate change. - The disposition to work generously with colleagues in a high-trust global community of peers. - The versatile and adaptable skills necessary to flourish in a fast-paced and wide-ranging work environment and work across time zones using tools such as Zoom, Slack and email (Google Workspace). - A commitment to an inclusive and empowering approach to facing climate change. - Additional languages are an asset. Why join us? - Be part of a remote-first, international network of professionals working on climate, energy and nature and work with a bunch of dynamic, culturally diverse individuals who combine their passion to make a difference with a rigorous and results-oriented approach to work. - 6 offline days (with no calls or meetings) per year to focus on your work - Reduced working time on Fridays during the Dry Season (summer) - Access to our employee assistance program to support your mental health and personal development - Supplementary paid business closure for end-of-year holidays - Parental leave matched to 20 weeks for countries where regulation allows less than that - Enjoy regular opportunities to connect and collaborate with colleagues around the world - A full-time position with an employment or consultant contract, subject to location, for 12 months, with possible renewal after one year. Location: flexibly remote. Some international travel will be required. We may be able to provide co-working spaces in some locations. Only candidates with the right to work in their location will be considered. Contract and Benefits disclaimer: Contract type and some benefits may vary by jurisdiction. We will confirm eligibility and the applicable terms during the hiring process. Salary / Fee: Meliore sets compensation levels through a systematic alignment with local market data, taking into account the responsibility level of each role or the expected level of services and the skills and experience of the selected candidate. We apply a consistent, equitable, compensation policy, and provide data on our calculations and pay or fee ranges, in all locations where we operate. Our compensation practices reflect our commitment to fairness, inclusion, and accountability, and are regularly reviewed to ensure alignment with evolving market standards and organisational values.

• Design, develop, and deploy machine learning and AI models to solve complex business problems. • Build, train, evaluate, and optimize machine learning models using large and diverse datasets. • Develop scalable data pipelines and feature engineering processes to support machine learning workflows. • Implement and maintain production-ready ML systems, ensuring reliability, performance, and scalability. • Integrate AI and machine learning solutions into existing applications, platforms, and APIs. • Collaborate with data scientists, software engineers, and product teams to translate business requirements into AI solutions. • Apply best practices for model testing, validation, monitoring, and lifecycle management. • Implement MLOps practices including model versioning, CI/CD pipelines, automated training, and model monitoring. • Work with cloud-based AI/ML services and infrastructure to support scalable deployments. • Continuously evaluate and improve model performance through experimentation and tuning. • Document models, pipelines, and workflows to ensure reproducibility and maintainability. • Stay up to date with emerging AI and machine learning technologies and apply them when relevant.

Role Description We’re looking for a highly skilled, independent, and driven Machine Learning Engineer to lead the design and development of our next-generation real-time inference services - the core engine powering algorithmic decision-making at scale. This is a rare opportunity to own the system at the heart of our product, serving billions of daily requests across mobile apps, with tight latency and performance constraints. - Own and lead the design and development of low-latency Algo inference services handling billions of requests per day. - Build and scale robust real-time decision-making engines, integrating ML models with business logic under strict SLAs. - Collaborate closely with DS to deploy models seamlessly and reliably in production. - Design systems for model versioning, shadowing, and A/B testing at runtime. - Ensure high availability, scalability, and observability of production systems. - Continuously optimize latency, throughput, and cost-efficiency using modern tooling and techniques. - Work independently while interfacing with cross-functional stakeholders from Algo, Infra, Product, Engineering, BA & Business. Qualifications - B.Sc. or M.Sc. in Computer Science, Software Engineering, or a related technical discipline. - 5+ years of experience building high-performance backend or ML inference systems. - Deep expertise in Python and experience with low-latency APIs and real-time serving frameworks (e.g., FastAPI, Triton Inference Server, TorchServe, BentoML). - Experience with scalable service architecture, message queues (Kafka, Pub/Sub), and async processing. - Strong understanding of model deployment practices, online/offline feature parity, and real-time monitoring. - Experience in cloud environments (AWS, GCP, or OCI) and container orchestration (Kubernetes). - Experience working with in-memory and NoSQL databases (e.g. Aerospike, Redis, Bigtable) to support ultra-fast data access in production-grade ML services. - Familiarity with observability stacks (Prometheus, Grafana, OpenTelemetry) and best practices for alerting and diagnostics. - A strong sense of ownership and the ability to drive solutions end-to-end. - Passion for performance, clean architecture, and impactful systems. Benefits - Polish public holidays. - 20 working days per year is Non-Operational Allowance and settled to be used for personal recreation matters and are compensated in full. These days have to be used within the year, with no rollover to the next calendar year. - Health Insurance. - Gym Subscription (Multisport). Company Description A leading mobile marketing and audience platform, empowers the app ecosystem with cutting-edge solutions in mobile marketing, audience building, and monetization. With integration into over 500,000 monthly active apps and a global reach, the platform leverages first-party data to deliver impactful and scalable advertising solutions.

• The Lead AI Engineer designs and delivers AI and computer vision solutions on Microsoft Azure, focusing on scalable, production‑ready systems. • This role bridges data science and engineering and owns AI components end‑to‑end.