SignalFire
Principal AI/ML Engineer - VC Backed Startups
SignalFire, San Francisco, California, United States, 94199
Join SignalFire’s Talent Network for Principal AI/ML Engineer Roles at VC-Backed Startups
At
SignalFire , we partner with
top early-stage startups
that are shaping the future of technology. Our
portfolio
spans 200+ innovative companies across AI, cybersecurity, healthtech, fintech, developer tools, and enterprise SaaS. We’re looking to connect with exceptional
Principal AI/ML Engineers
who are excited about
driving AI strategy, advancing machine learning research, and scaling AI-powered systems
at high-growth startups. By joining SignalFire’s Talent Network, your profile will be shared 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 talentnetwork@signalfire.com. Who Should Join?
We’re looking for AI/ML experts who are:
Is your CV ready If so, and you are confident this is the role for you, make sure to apply asap. Passionate about
developing and deploying cutting-edge 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 real-world business challenges Typical Roles & Responsibilities
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,
identifying opportunities for innovation and model optimization
Develop
scalable training and inference pipelines
for AI-powered 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 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
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 retrieval-augmented generation (RAG) pipelines
Experience with
model quantization, fine-tuning, 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 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
At
SignalFire , we partner with
top early-stage startups
that are shaping the future of technology. Our
portfolio
spans 200+ innovative companies across AI, cybersecurity, healthtech, fintech, developer tools, and enterprise SaaS. We’re looking to connect with exceptional
Principal AI/ML Engineers
who are excited about
driving AI strategy, advancing machine learning research, and scaling AI-powered systems
at high-growth startups. By joining SignalFire’s Talent Network, your profile will be shared 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 talentnetwork@signalfire.com. Who Should Join?
We’re looking for AI/ML experts who are:
Is your CV ready If so, and you are confident this is the role for you, make sure to apply asap. Passionate about
developing and deploying cutting-edge 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 real-world business challenges Typical Roles & Responsibilities
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,
identifying opportunities for innovation and model optimization
Develop
scalable training and inference pipelines
for AI-powered 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 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
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 retrieval-augmented generation (RAG) pipelines
Experience with
model quantization, fine-tuning, 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 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