Machine Learning Researcher (Data Science & Applied AI)

About the jobMeeBoss is sharing this active opportunity on behalf of the hiring company. This role is for a Machine Learning Researcher focused on applied AI and new model development within an onsite team in the Bay Area. The position involves hands-on research, designing custom model architectures, training models from scratch, and translating research ideas into practical machine learning systems.Job titleMachine Learning ResearcherCompanyMeeBossLocationSan Francisco, CA (On-site)CompensationCompetitive, based on experience, research depth, and technical fitWhy this roleJoin a growing applied AI research team solving complex real-world problemsOpportunity to move beyond off-the-shelf models and APIs to build original architecturesCollaborative environment working closely with researchers, data scientists, and ML engineersWhat you will doDesign, develop, train, evaluate, and optimize new machine learning models from scratchBuild custom model architectures and research new algorithms, families, and training strategiesTrain and validate custom ML and deep learning models using modern frameworksEstablish model evaluation practices, including baseline comparisons, error analysis, and robustness testingBenchmark models against existing approaches to identify meaningful performance improvementsConduct statistical analysis, exploratory data analysis, and feature analysisBuild scalable data processing, feature engineering, and analysis workflowsIdentify predictive signals, weak labels, and model-ready features from structured and unstructured dataSupport data cleaning, validation, transformation, and labeling strategiesCollaborate with ML engineers and software engineers to integrate model research into applied AI initiativesCommunicate research findings clearly to technical and non-technical stakeholdersContribute to research discussions, technical reviews, and model strategyStay current with emerging research in machine learning, deep learning, and applied data scienceWhat we are looking forBachelor’s, Master’s, or PhD in Computer Science, Machine Learning, Artificial Intelligence, Data Science, Statistics, Applied Mathematics, Engineering, Physics, or a related quantitative field3+ years of hands-on experience in machine learning, AI research, data science, or applied AIStrong hands-on experience building, training, and evaluating machine learning modelsDemonstrated experience developing custom models, new architectures, or model pipelines from scratchStrong programming ability in PythonExperience with major ML frameworks such as PyTorch, TensorFlow, Keras, or Scikit-learnStrong understanding of supervised and unsupervised learning, deep learning, neural networks, feature engineering, and model evaluationExperience conducting model experiments, analyzing results, and improving performance through iterationStrong analytical, research, problem-solving, and communication skillsAbility to work onsite in the Bay AreaBenefitsAWS Certified Solutions ArchitectTensorFlow Developer CertificateProfessional Certificate in Data ScienceDeep Learning Specialization CertificateApplied AI Engineer CertificateAbout MeeBossMeeBoss helps job seekers and hiring teams make direct, relevant career connections.How to applyApply through the MeeBoss link on this LinkedIn post.