Role Description Join Avalara's AI and Machine Learning team and help build intelligent systems that improve how businesses manage tax compliance and automation. You will design and deliver production-grade AI and ML solutions that power document intelligence, classification, retrieval, and GenAI-driven workflows across Avalara's products and platforms. You will work with engineers, product managers, infrastructure teams, and domain experts to turn complex challenges into scalable, reliable solutions that create measurable customer and growth. As a senior individual contributor, you will help raise the engineering bar through technical leadership, operational excellence, and mentorship. You will report to Sr Manager, ML Engineering with a #LI-Remote work arrangement. Responsibilities - Design, build, and improve production-grade machine learning systems for classification, document understanding, retrieval, and AI-powered automation. - Fine-tune, evaluate, and deploy transformer-based models, small language models, and other machine learning approaches to solve business problems. - Build and optimise real-time inference services, batch processing pipelines, APIs, and model-serving workflows. - Develop evaluation frameworks that measure model quality, reliability, latency, cost efficiency, and operational performance. - Contribute to GenAI platform capabilities including retrieval-augmented generation, embeddings, prompt orchestration, document ingestion, and agent-based workflows. - Deliver secure, scalable, and observable ML and AI services with operational ownership. - Partner with product, engineering, infrastructure, and business stakeholders to define and implement practical AI solutions. - Improve engineering quality through testing, monitoring, documentation, and continuous improvement practices. - Mentor engineers and share knowledge, frameworks, and reusable patterns that strengthen AI capabilities across the organisation. - Drive technical decisions by balancing accuracy, latency, scalability, maintainability, security, and cost. Qualifications - Bachelor's degree in Computer Science, Engineering, or a related technical field, with 5+ years of experience building and operating production machine learning or AI systems. - Strong software engineering experience in Python, including building backend services, APIs, or distributed systems. - Hands-on experience developing, evaluating, deploying, and maintaining machine learning models in production environments. - Experience with modern AI techniques such as transformers, embeddings, retrieval-augmented generation, large language models, small language models, classification systems, and document intelligence solutions. - Use data, experimentation, and production insights to improve measurable outcomes such as automation quality, reliability, latency, cost efficiency, and developer productivity. Benefits - Total Rewards: In addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses. - Health & Wellness: Benefits vary by location but generally include private medical, life, and disability insurance. - Inclusive culture and diversity: Avalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture. Company Description We’re defining the relationship between tax and tech. We’ve already built an industry-leading cloud compliance platform, processing over 54 billion customer API calls and over 6.6 million tax returns a year. Our growth is real - we're a billion dollar business - and we’re not slowing down until we’ve achieved our mission - to be part of every transaction in the world. We’re bright, innovative, and disruptive, like the orange we love to wear. It captures our quirky spirit and optimistic mindset. It shows off the culture we’ve designed, that empowers our people to win. We’ve been different from day one. Join us, and your career will be too. We’re An Equal Opportunity Employer: Supporting diversity and inclusion is a cornerstone of our company — we don’t want people to fit into our culture, but to enrich it. All qualified candidates will receive consideration for employment without regard to race, color, creed, religion, age, gender, national orientation, disability, sexual orientation, US Veteran status, or any other factor protected by law. If you require any reasonable adjustments during the recruitment process, please let us know.

Role Description Iron Mountain is seeking a motivated Global Platforms & Technology Machine Learning Intern to join our AI Services team. In this role, you will be responsible for developing and optimizing applied AI systems, including Large Language Model (LLM) applications and Agentic platforms, to solve real-world enterprise challenges. What You’ll Do - Develop and implement AI features for Agentic platform, focusing on System APIs and long-term enterprise software development. - Collaborate with cross-functional engineering leads and peer groups environment to scale AI products for global enterprise use cases. - Ensure compliance with core computer science fundamentals such as data structure and algorithms, theory of computation, discrete mathematics, and software engineering by writing clean, efficient code in Golang or JVM languages. Qualifications - Current enrollment in a Computer Science or related Bachelor’s (rising junior or senior only) or Master’s degree program graduating May 2027 OR after May 2028. - Strong knowledge of Machine Learning including deep Learning, NLP, and Reinforcement Learning, core algorithms, and mathematics. - Proven ability in Golang or JVM languages (Java/Kotlin), with experience in API services development and a high-level proficiency of Python. - Data engineering background in applications such as batch processing and query engineering is a significant plus. - US Citizenship required; please note that we are unable to provide sponsorship for this position. Requirements - Strong programming skills in Golang or JVM languages. - Understanding of core computer science fundamentals. - Experience in developing AI features and API services. Benefits - Salary details: $27.00 per hour. - Shifts: Standard business hours during the program. - Location: Tampa, FL or remote. - Competitive compensation and benefits aligned with the experience. - Paid time off/holidays according to regional intern policy. - Flexible work options to support work–life balance.

• Evaluate current pipelines, data architecture, and ML workflows, producing a prioritized, opinionated plan for what needs to change and why • Design data and ML systems anchored in customer needs and built to last • Rebuild and harden pipelines, upgrade data architecture, and ship fixes directly • Raise the bar on observability, reliability, and data quality, establishing patterns and practices for the team.

Role Description We are looking for a Senior Machine Learning Engineer to own search and recommendation systems for Sekai’s consumer product. This role sits at the center of content discovery, user engagement, and content distribution. You will build the models and systems that decide what users see, what they search for, what they continue playing, and how high-quality content reaches the right audience. This is a senior IC role for someone who has built real recommendation, search, ranking, or discovery systems in production for consumer apps, especially in entertainment-driven products. What You Will Own - Build and improve recommendation and search systems across feed, discovery, search, and content continuation surfaces. - Own retrieval and ranking systems, including candidate generation, embedding-based retrieval, two-tower models, ranking features, and online serving quality. - Design, launch, and analyze recommendation/search experiments end-to-end, then use the data to iterate quickly. - Improve recommendation quality for new users, new content, and fast-changing content pools. - Build user, content, creator, and session-level representations from behavioral signals. - Partner with product, data, and engineering teams to define metrics, run experiments, and ship measurable improvements to retention, engagement, and content distribution. - Build practical ML systems that can move from prototype to production quickly, with clear monitoring and evaluation. - Help shape the long-term ML architecture for AI-native content discovery. Qualifications - 5+ years of industry experience building production ML systems, with senior-level ownership of recommendation, search, ranking, ads ranking, feed ranking, or content discovery systems. - Hands-on experience building recommendation or search systems for consumer apps. - Experience working on entertainment, social, gaming, short-form content, creator, or other engagement-driven consumer products. - Strong practical experience with two-tower models, embedding retrieval, candidate generation, ranking, and online/offline evaluation. - Strong product intuition around relevance, retention, engagement, satisfaction, cold start, and content distribution. - Ability to translate messy user behavior into useful modeling signals and practical product improvements. - Strong engineering fundamentals across modeling, data pipelines, backend integration, experimentation, and production ML systems. - High ownership, fast execution, and clear communication in ambiguous product environments. Requirements - Experience with AI recommendation, LLM-powered ranking, semantic search, personalized generation, or AI-native content understanding. - Experience with UGC content ecosystems, creator marketplaces, or rapidly changing content catalogs. - Experience with multimodal content understanding across text, image, video, interaction traces, or generated content. - Experience with explore/exploit, contextual bandits, reinforcement learning, or long-term value optimization. - Startup experience or experience building 0-to-1 ML systems with limited infrastructure. Benefits - Top compensation package, including competitive salary and meaningful equity. - Remote-first team. - Comprehensive health insurance and benefits.