Staff Machine Learning Engineer - VC Backed Startups

Join SignalFire’s Talent Network for AI & Machine Learning RolesAtSignalFire , we partner withtop early-stage startupsthat are shaping the future of technology. Ourportfoliospans 200+ innovative companies across AI, cybersecurity, healthtech, fintech, developer tools, and enterprise SaaS. Were looking to connect withexceptional Staff AI and Machine Learning engineerswho are excited about joining high-growth startups as founding or early team members. By joiningSignalFire’s Talent Network , your profile will beshared with our portfolio companies , giving you visibility into exclusive early-stage opportunities that may not be publicly listed. This is not an application for a specific job. Instead, this is a way to get on the radar of VC-backed startups that are actively hiring AI/ML talent. If you have any questions, please direct inquiries to . Who Should Join?We’re looking for AI engineers who ** Building cutting-edge AI/ML models and deploying them in production Excited about joining early-stage startups in transformative industries Interested in staying connected with SignalFire’s portfolio for future opportunities Typicalroles and responsibilitiesmay * Developing and deploying machine learning (ML) and deep learning modelsBuilding scalable data pipelines for training and inferenceWorking directly with founders to align AI strategies with product roadmapsResearching and implementing state-of-the-art AI methodologiesOptimizingRAG pipelines, agent architectures, and LLM-powered systemsCommon QualificationsWhile each startup has its own hiring criteria, many AI engineering roles in our network look * 6+ years of experience in AI/ML, deep learning, or applied AIStrong Python skills with frameworks like TensorFlow, PyTorch, or JAXExperience with big data tools (Apache Spark, Kafka, Hadoop) and MLOps platformsFamiliarity with cloud environments (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes)Startup experience or an interest in early-stage environments is a plusTechnologies You Might Work **Python, TensorFlow, PyTorch, JAX, Kubernetes, Docker, MLflow, Kubeflow, FastAPI, SQL, NoSQL, Airflow, Spark, Kafka, Hadoop, AWS (SageMaker, Lambda, S3), GCP (Vertex AI, BigQuery), Azure (ML Studio, Synapse). What Happens Next?Submit your applicationto join SignalFire’s Talent Ecosystem.We review applicationson an ongoing basis to identify strong candidates.If there’s a match , a SignalFire talent partner or a leader from one of our startups may reach out directly.No match yet?We’ll keep your profile on file for future AI/ML roles in our portfolio.J-18808-Ljbffr

Created: 2025-09-29