SignalFire
Staff AI Engineer (Generative AI) - VC Backed Startups
SignalFire, New York, New York, us, 10261
Staff AI Engineer (Generative AI) - VC Backed Startups
Be among the first 25 applicants.
This range is provided by SignalFire. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range:
$170,000.00/yr - $250,000.00/yr
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 Staff AI and Machine Learning engineers
who are excited about joining high-growth startups as founding or early team members. 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?
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
Typical Roles and Responsibilities
Developing and deploying machine learning (ML) and deep learning models
Building scalable data pipelines for training and inference
Working directly with founders to align AI strategies with product roadmaps
Researching and implementing state-of-the-art AI methodologies
Optimizing RAG pipelines, agent architectures, and LLM-powered systems
Common Qualifications
6+ years of experience in AI/ML, deep learning, or applied AI
Strong Python skills with frameworks like TensorFlow, PyTorch, or JAX
Experience with big data tools (Apache Spark, Kafka, Hadoop) and MLOps platforms
Familiarity with cloud environments (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes)
Startup experience or an interest in early-stage environments is a plus
Technologies You Might Work With:
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 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.
Compensation Range:
$170K - $250K
Seniority Level Mid-Senior level
Employment Type Full-time
Job Function Engineering and Information Technology
Industries Venture Capital and Private Equity Principals
Referrals increase your chances of interviewing at SignalFire by 2x.
Get notified about new Artificial Intelligence Engineer jobs in
New York, NY .
#J-18808-Ljbffr
This range is provided by SignalFire. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range:
$170,000.00/yr - $250,000.00/yr
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 Staff AI and Machine Learning engineers
who are excited about joining high-growth startups as founding or early team members. 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?
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
Typical Roles and Responsibilities
Developing and deploying machine learning (ML) and deep learning models
Building scalable data pipelines for training and inference
Working directly with founders to align AI strategies with product roadmaps
Researching and implementing state-of-the-art AI methodologies
Optimizing RAG pipelines, agent architectures, and LLM-powered systems
Common Qualifications
6+ years of experience in AI/ML, deep learning, or applied AI
Strong Python skills with frameworks like TensorFlow, PyTorch, or JAX
Experience with big data tools (Apache Spark, Kafka, Hadoop) and MLOps platforms
Familiarity with cloud environments (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes)
Startup experience or an interest in early-stage environments is a plus
Technologies You Might Work With:
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 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.
Compensation Range:
$170K - $250K
Seniority Level Mid-Senior level
Employment Type Full-time
Job Function Engineering and Information Technology
Industries Venture Capital and Private Equity Principals
Referrals increase your chances of interviewing at SignalFire by 2x.
Get notified about new Artificial Intelligence Engineer jobs in
New York, NY .
#J-18808-Ljbffr