Principal AIML Engineer - VC Backed Startups
Principal AIML Engineer - VC Backed Startups
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Job Description
Join SignalFires Talent Network for Principal AI/ML Engineer Roles at VCBacked Startups
At SignalFire we partner with top earlystage startups that are shaping the future of technology. Our portfolio spans 200 innovative companies across AI cybersecurity healthtech fintech developer tools and enterprise SaaS.
Were looking to connect with exceptional Principal AI/ML Engineers who are excited about driving AI strategy advancing machine learning research and scaling AIpowered systems at highgrowth startups. By joining SignalFires Talent Network your profile will be shared with our portfolio companies giving you visibility into exclusive earlystage 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 VCbacked startups that are actively hiring AI/ML talent. If you have any questions please direct inquiries to
Who Should Join
Were looking for AI/ML experts who are:
Passionate about developing and deploying cuttingedge machine learning and deep learning models
Experienced in architecting scalable AI systems and leading technical teams
Excited to push the boundaries of AI research and apply it to realworld business challenges
Typical Roles & Responsibilities
Architect develop and optimize machine learning and deep learning models for production systems
Research and apply stateoftheart AI methodologies including LLMs transformers and reinforcement learning
Lead AI strategy identifying opportunities for innovation and model optimization
Develop scalable training and inference pipelines for AIpowered applications
Work closely with engineering data and product teams to integrate AI/ML into business solutions
Optimize ML models for efficiency accuracy and scalability in realworld deployments
Ensure robust MLOps practices including model monitoring retraining and deployment automation
Collaborate on AI/ML research publications patents and opensource contributions
Common Qualifications
While each startup has its own hiring criteria many Principal AI/ML Engineer roles in our network look for:
8 years of experience in AI/ML deep learning or applied AI
Expertise in Python and ML frameworks (TensorFlow PyTorch JAX Hugging Face Transformers)
Strong background in computer vision NLP generative AI or reinforcement learning
Experience developing scalable AI pipelines data processing workflows and distributed training systems
Familiarity with big data tools (Apache Spark Kafka Hadoop) and MLOps platforms (MLflow TFX SageMaker)
Deep understanding of LLMs transformer architectures and retrievalaugmented generation (RAG) pipelines
Experience with model quantization finetuning and optimization for performance
Strong knowledge of cloud environments (AWS GCP Azure) and containerization tools (Docker Kubernetes)
A track record of technical leadership mentoring and driving AI innovation
Technologies You Might Work With:
Languages & Frameworks: Python TensorFlow PyTorch JAX Hugging Face Transformers
MLOps & Data Pipelines: MLflow Kubeflow TFX Apache Spark Airflow Ray
Cloud & Deployment: AWS SageMaker GCP Vertex AI Azure ML Kubernetes Docker
Big Data & Storage: Apache Kafka Hadoop BigQuery Snowflake Redis NoSQL databases
Model Optimization: ONNX TensorRT pruning quantization distillation
What Happens Next
Submit your application to join SignalFires Talent Ecosystem.
We review applications on an ongoing basis to identify strong candidates.
If theres a match a SignalFire talent partner or a leader from one of our startups may reach out directly.
No match yet Well keep your profile on file for future AI/ML roles in our portfolio.
Required Experience:
Staff IC
Employment Type
Full-Time
