Founding AI/ML Engineer (Senior/Staff) - VC Backed Startups
Content + Source + Freshness • 11 Dec 2025 • 95% confidence
Offer value
Attractive opportunity in AI/ML for experienced engineers within a dynamic startup environment, focusing on impactful technologies.
- Competitive salary of $170K - $250K plus equity opportunities
- Engaging work on innovative AI projects
- Role in shaping startup technology development
- Requires relevant experience that may limit access for some
Pros
- Salary range ($170K - $250K) with equity
- Chance to work on innovative AI/ML developments
- Impactful role within early-stage startups with growth potential
Cons
- Requires proven experience (3+ years), which may exclude some
- Rushed development timelines often expected
- High-pressure environment typical of startups
Who it's for
Mid to Senior level • Remote
Good fit
- Experienced AI/ML engineers
- Candidates eager to innovate and build products
- Individuals thriving in active, fast-paced environments
Not recommended for
- Inexperienced applicants in AI/ML
- Those desiring predictable, traditional work roles
- Candidates resistant to startup challenges
Motivation fit
Key skills
About the job
Location
Remote - No Preference
Employment Type
Full time
Location Type
Remote
Department
EPDEngineering
Compensation
- $170K – $250K • Offers Equity
Join SignalFire’s Talent Network for Founding AI 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 Founding AI Engineers who are excited about joining high-growth startups as core technical leaders. 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 engineers who are:
✔ Passionate about building AI/ML models from the ground up and deploying them in production
✔ Excited about joining early-stage startups and working directly with founders
✔ Interested in shaping AI strategy and leading the development of AI-powered products
Typical Roles & Responsibilities
Designing, developing, and deploying machine learning (ML) and deep learning models
Building scalable data pipelines for preprocessing, feature engineering, and model training
Optimizing and deploying AI models for real-time and batch processing
Working closely with founders to align AI strategies with product and business goals
Researching and integrating state-of-the-art AI methodologies
Developing and optimizing RAG pipelines, agent architectures, and LLM-powered systems
Common Qualifications
While each startup has its own hiring criteria, many founding AI roles in our network look for:
3+ years of experience in machine learning, 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, scikit-learn, Kubernetes, Docker, MLflow, TFX, Kubeflow, FastAPI, Flask, SQL, NoSQL, Apache Spark, Kafka, Hadoop, Flink, Airflow, 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
