Software Engineer - ML Quality

h3The Opportunity /h3 pAs a bSoftware Engineer – ML Quality /b, you’ll be at the heart of ensuring our AI agents are not just functional, but reliable, accurate, and robust. You will help develop and implement training data collection, fine-tuning, and evaluation pipelines that drive continuous model improvement. /p pYour work will span monitoring live performance, curating high-quality datasets, retraining models to improve accuracy, and creating rigorous evaluation frameworks. /p pWe’re open to junior candidates who may not have deep ML experience yet, as long as you bring strong programming skills, curiosity, and the determination to learn quickly. For junior applicants, an MSc in Computer Science or a related field with some exposure to machine learning is required. /p h3What You’ll Do /h3 ul liDesign and build automated systems to collect, curate, and label training data for model fine-tuning. /li liFine-tune language models to improve accuracy, robustness, and performance based on real-world usage data. /li liImplement robust evaluation pipelines to measure ML model performance against well-defined benchmarks. /li liCollaborate with other engineers to establish quality metrics and acceptance criteria for new models and features. /li liInvestigate and debug model failures and performance regressions, identifying effective fixes. /li liHelp us build a world-class engineering culture that values quality, impact, and ownership. /li /ul h3About You /h3 ul libMachine Learning Expertise /b: Proven track record in ML quality, fine-tuning, or AI-powered product development. /li libOr /b: Strong programming background with an MSc in CS (or related field) and some ML exposure (coursework, research, internships), eager to grow in ML quality. /li libUnderstanding of ML Concepts /b: Knowledge of model training, evaluation, and common pitfalls. /li libHands-on Data Pipeline Skills /b: Experience (or willingness to learn) building and maintaining data collection, labeling, and annotation workflows. /li libProblem-Solving Skills /b: Analytical mindset with a knack for spotting weaknesses in models or data. /li libExcellent Communication /b: Ability to explain technical concepts clearly to technical and non-technical audiences. /li libBias for Action /b: Comfortable taking initiative and working in a fast-paced startup environment. /li /ul h3Why Join Us? /h3 ul libMake a real impact /b: Your work will be crucial in building the best quality AI product for software testing. /li libWork with a talented team /b: Learn from ex-Google engineers who have built impactful products at scale. /li libCompetitive compensation /b: We offer a competitive salary, equity, and benefits package. /li libBe a pioneer in AI /b: Be at the forefront of the agentic AI revolution and help shape the future of software testing. /li /ul