Principal AI/ML Engineer - VC Backed Startups

Join SignalFire’s Talent Network for Principal AI/ML Engineer Roles at VC-Backed StartupsAtSignalFire , 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. We’re looking to connect with exceptionalPrincipal AI/ML Engineerswho are excited aboutdriving AI strategy, advancing machine learning research, and scaling AI-powered systemsat high-growth startups. By joining SignalFire’s Talent Network, your profile will be shared with our portfolio companies, giving you visibility intoexclusive early-stage opportunitiesthat 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/ML experts who are: Passionate aboutdeveloping and deploying cutting-edge machine learning and deep learning models Experienced inarchitecting scalable AI systems and leading technical teams Excited topush the boundaries of AI research and apply it to real-world business challenges Typical Roles & ResponsibilitiesArchitect, develop, and optimizemachine learning and deep learning modelsfor production systemsResearch and applystate-of-the-art AI methodologies , including LLMs, transformers, and reinforcement learningLead AI strategy,identifying opportunities for innovation and model optimizationDevelopscalable training and inference pipelinesfor AI-powered applicationsWork closely withengineering, data, and product teamsto integrate AI/ML into business solutionsOptimizeML models for efficiency, accuracy, and scalabilityin real-world deploymentsEnsurerobust MLOps practices , including model monitoring, retraining, and deployment automationCollaborate onAI/ML research publications, patents, and open-source contributionsCommon QualificationsWhile each startup has its own hiring criteria, manyPrincipal AI/ML Engineerroles in our network look for: 8+ years of experiencein AI/ML, deep learning, or applied AIExpertise inPython and ML frameworks(TensorFlow, PyTorch, JAX, Hugging Face Transformers)Strong background incomputer vision, NLP, generative AI, or reinforcement learningExperience developingscalable AI pipelines, data processing workflows, and distributed training systemsFamiliarity withbig data tools(Apache Spark, Kafka, Hadoop) andMLOps platforms(MLflow, TFX, SageMaker)Deep understanding ofLLMs, transformer architectures, and retrieval-augmented generation (RAG) pipelinesExperience withmodel quantization, fine-tuning, and optimization for performanceStrong knowledge ofcloud environments (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes)A track record oftechnical leadership, mentoring, and driving AI innovationTechnologies You Might Work With:Languages & Frameworks:Python, TensorFlow, PyTorch, JAX, Hugging Face TransformersMLOps & Data Pipelines:MLflow, Kubeflow, TFX, Apache Spark, Airflow, RayCloud & Deployment:AWS SageMaker, GCP Vertex AI, Azure ML, Kubernetes, DockerBig Data & Storage:Apache Kafka, Hadoop, BigQuery, Snowflake, Redis, NoSQL databasesModel Optimization:ONNX, TensorRT, pruning, quantization, distillationWhat Happens Next?Submit your application to join SignalFire’s Talent Ecosystem.We review applications on 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