Machine Learning Engineer

All roles San Francisco, CA Machine Learning Engineer San Francisco, CAFull-timeMid to SeniorOn-site Zof AI is hiring for this role in San Francisco, CA. This is a full-time opportunity for candidates who want to contribute directly to the development of ambitious AI products in a high-performance environment. Hands-on experience training, fine-tuning, and evaluating machine learning models is required. Compensation Competitive salary Plus meaningful equity Apply for this role About This Role Zof AI is seeking a Machine Learning Engineer for the traditional ML discipline: training, fine-tuning, and evaluating models rather than only building on top of them. This role owns datasets, training pipelines, and the applied models that power verification and quality systems inside our products. The ideal candidate is rigorous about evaluation, comfortable owning the full model lifecycle, and pragmatic about when a trained model beats an API call. Responsibilities Train, fine-tune, and evaluate models for production use. Build and maintain datasets, labeling pipelines, and data quality checks. Own training infrastructure and experiment tracking. Develop applied models that power verification and quality features. Establish rigorous evaluation and regression testing for models. Decide when to train, when to fine-tune, and when to call an API. Collaborate with AI and product engineers to ship models into features. Own the model lifecycle from data through production monitoring. Requirements Hands-on experience training and fine-tuning models. Strong grounding in ML fundamentals and evaluation methodology. Experience with Python and the modern ML stack. Experience building datasets and data pipelines. Strong software engineering discipline. Clear written and verbal communication. Comfort operating in a fast-moving environment. Evidence of models shipped to production or rigorous applied work. Nice to have Experience fine-tuning LLMs or working with embeddings at scale. Experience with PyTorch, JAX, or similar frameworks. Experience with model serving and inference optimization. Published work, competition results, or strong open-source contributions. Machine LearningModel TrainingFine-TuningDatasetsEvaluation What we provide in San Francisco MacBook Pro Premium AI development tools Cursor Ultra Claude Code Ultra OpenAI Codex Max or equivalent advanced AI tooling Access to a high-performance AI product environment Close collaboration with leadership, engineering, and customers Opportunity to work in the San Francisco AI ecosystem Wellness and productivity support where applicable Competitive startup environment High ownership Direct product impact Benefits may depend on role and final offer terms. Apply Apply for Machine Learning Engineer This application is for the Machine Learning Engineer role in San Francisco, CA. Please complete every required field. You are applying for Machine Learning Engineer San Francisco, CA Company website 1 Basic information Full name* Email* Phone or WhatsApp number* Current location* City and country 2 Professional links LinkedIn URL* GitHub URL* Portfolio or personal website (optional) Resume or CV link* A link to Google Drive, Dropbox, LinkedIn, your website, or a PDF 3 Role-specific background Years of experience* Strongest programming languages Best project link (optional) AI tools you use Comfort with frontend Select a levelBeginnerIntermediateAdvancedExpert Comfort with backend Select a levelBeginnerIntermediateAdvancedExpert Comfort with databases Select a levelBeginnerIntermediateAdvancedExpert Comfort with AI coding tools Select a levelBeginnerIntermediateAdvancedExpert Systems or products you have worked on 0/3000 4 Location fit Are you able to work from or relocate to the San Francisco area for this role?* Select an answerYesOpen to it, with details belowNo Earliest start date or availability* Relocation or work authorization note (optional) 5 Written responses Why are you interested in Zof AI?* 0/3000 Why are you interested in this location?* 0/3000 What is the strongest evidence that you would succeed in this role?* 0/3000 What is the hardest thing you have built, sold, owned, or led?* 0/3000 How do you currently use AI tools in your work?* For example, describe a project where you used AI tools to build faster, improve quality, or solve a difficult technical problem. 0/3000 How did you hear about us? (optional) Education (optional) Anything else you would like us to know? (optional) 0/3000 6 Final confirmation I understand this is a location-based role and have reviewed the location requirements.* I confirm that the information I have provided is accurate.* By submitting, you agree that Zof AI may store and review your application for hiring purposes. Related roles Accra, GhanaFull-timeMid to SeniorOn-site Machine Learning Engineer Zof AI is seeking a Machine Learning Engineer for the traditional ML discipline: training, fine-tuning, and evaluating models rather than only building on top of them. This role owns datasets, training pipelines, and the applied models that power verification and quality systems inside our products. The ideal candidate is rigorous about evaluation, comfortable owning the full model lifecycle, and pragmatic about when a trained model beats an API call. GHS 7,500-15,000 / month Machine LearningModel TrainingFine-TuningDatasetsEvaluation View roleApply