Principal AI/ML Engineer

SignalFire

Principal AI/ML Engineer joining SignalFire’s talent network for VC-backed startups. Architecting scalable ML systems, advancing AI research, and leading production deployments.

Posted 8/5/2026full-timeRemote • 🇺🇸 United StatesLead💰 $170,000 - $270,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting and optimizing machine learning and deep learning models, with a strong focus on MLOps practices and scalable AI pipelines. Proven ability to lead AI strategy and collaborate across teams to drive innovation in AI-powered applications.

Highest-signal resume keywords

8+ Years Experience In AI/MLExpertise In PythonML Frameworks: TensorFlow, PyTorch, JAX, Hugging Face TransformersStrong Background In Computer Vision, NLP, Generative AIFamiliarity With MLOps Platforms: MLflow, TFX, SageMaker

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningDeep LearningModel OptimizationData Processing WorkflowsDistributed Training SystemsModel QuantizationFine-TuningPerformance OptimizationAI MethodologiesReinforcement Learning

Soft Skills

Technical LeadershipMentoringCollaboration

Tools & Technologies

AWSGCPAzureDockerKubernetesApache SparkKafkaHadoop

Industry Keywords

MLOpsLLMsTransformer ArchitecturesRetrieval-Augmented Generation (RAG)AI Strategy

Tech Stack

Tools & technologies

ApacheAWSAzureDockerGoogle Cloud PlatformHadoopKafkaKubernetesPythonPyTorchSparkTensorflow

About the role

Key responsibilities & impact

Join SignalFire’s Talent Network for Principal AI/ML Engineer roles at VC-backed startups rather than applying for one specific job
Architect, develop, and optimize machine learning and deep learning models for production systems
Research and apply state-of-the-art AI methodologies, including LLMs, transformers, and reinforcement learning
Lead AI strategy and identify opportunities for innovation and model optimization
Develop scalable training and inference pipelines for AI-powered applications
Work with engineering, data, and product teams to integrate AI/ML into business solutions
Optimize ML models for efficiency, accuracy, and scalability in real-world deployments
Ensure robust MLOps practices, including model monitoring, retraining, and deployment automation
Collaborate on AI/ML research publications, patents, and open-source contributions
SignalFire reviews applications on an ongoing basis and may connect matched candidates with portfolio-company talent partners or leaders

Requirements

What you’ll need

8+ years of experience in AI/ML, deep learning, or applied AI
Expertise in Python and ML frameworks including TensorFlow, PyTorch, JAX, and 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 including Apache Spark, Kafka, and Hadoop
Familiarity with MLOps platforms including MLflow, TFX, and SageMaker
Deep understanding of LLMs, transformer architectures, and retrieval-augmented generation (RAG) pipelines
Experience with model quantization, fine-tuning, and performance optimization
Strong knowledge of AWS, GCP, Azure, Docker, and Kubernetes
Track record of technical leadership, mentoring, and driving AI innovation
Required application materials include full name, email, LinkedIn URL, resume/CV, and current or preferred working location

Benefits

Comp & perks

Equity offered
Profile visibility into exclusive early-stage opportunities
Potential consideration for future AI/ML roles across SignalFire’s portfolio
Opportunity to receive occasional newsletters, insights, or invitations to community events (with opt-out)
Ability to request updates or removal of personal information from SignalFire records