Staff Machine Learning Engineer - VC Backed Startups

Staff Machine Learning Engineer - VC Backed Startups

Join to apply for the Staff Machine Learning Engineer - VC Backed Startups role at SignalFire

Staff Machine Learning Engineer - VC Backed Startups

2 months ago Be among the first 25 applicants

Join to apply for the Staff Machine Learning Engineer - VC Backed Startups role at SignalFire

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

Join SignalFire’s Talent Network for AI & Machine Learning Roles
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
Who Should Join?
We’re looking for AI engineers who are:
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 may include:

• 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
While each startup has its own hiring criteria, many AI engineering roles in our network look for:

• 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

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Venture Capital and Private Equity Principals

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