Machine Learning Engineer
SweedFull Time
Mid-level (3 to 4 years)
Candidates should possess at least 2 years of professional experience building data-centric software as a machine learning engineer, AI specialist, or software-focused data scientist. Experience with LLMs, prompt engineering, AI agents, and vector databases is required, along with a track record of building production systems, ideally with machine learning algorithms, data-centric platform services, and stochastic systems. Proficiency in languages such as Python, Java, or Clojure, or the ability to quickly learn new languages, is necessary. Demonstrated ability to interface data repositories, caches, pipelines, message queues, ML models, LLMs, and other services in cloud environments, particularly AWS, is essential. Skills in collaborating using cloud-based tooling, git, notebooks, and ML workflows are also required. A Bachelor's or advanced degree in a quantitative field, or strong experience in professional coding and working with modern AI tooling, is preferred. Strong communication skills, the ability to synthesize patterns, conversancy in data structures, math, and algorithms, and creative problem-solving abilities are highly valued.
The AI/ML Engineer will contribute to data-centric backend services, thoughtful abstractions and APIs, and interactive experiences such as conversational agents and interpretive tools. Responsibilities include coding data-intensive software and algorithms, leveraging platforms for driving intelligent decisions, interacting with machine learning models, and powering interactions like conversational interfaces. The role involves collaborating with data scientists, data engineers, data analysts, software engineers, IT specialists, and stakeholders to expand the effective use of AI applications. Additionally, the engineer will research and prove out new approaches and algorithms through prototypes.
Cloud-based HR software for SMBs
BambooHR provides HR software solutions specifically designed for small and medium-sized businesses (SMBs). Its cloud-based platform allows organizations to manage various HR functions, including hiring, onboarding, employee data management, time tracking, and performance management. The software is user-friendly and integrates with other HR applications, enhancing its capabilities. Clients pay a subscription fee based on the number of employees and features needed, and the BambooHR Marketplace offers additional integrations with various HR apps, allowing businesses to customize their HR solutions. The goal of BambooHR is to help SMBs streamline their HR processes and manage their workforce more effectively.