SignalFire
Staff Machine Learning Engineer - VC Backed Startups
SignalFire, San Francisco, California, United States, 94199
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
The information below covers the role requirements, expected candidate experience, and accompanying qualifications.
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?
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 levelMid-Senior level Employment type
Employment typeFull-time Job function
Job functionEngineering and Information Technology IndustriesVenture Capital and Private Equity Principals Referrals increase your chances of interviewing at SignalFire by 2x Get notified about new Machine Learning Engineer jobs in
San Francisco, CA . San Francisco, CA $160,000.00-$180,000.00 1 day ago San Francisco, CA $130,000.00-$238,000.00 2 weeks ago San Francisco, CA $145,000.00-$230,000.00 2 weeks ago San Francisco, CA $220,000.00-$350,000.00 2 weeks ago San Francisco, CA $150,000.00-$230,000.00 2 months ago San Francisco, CA $150,000.00-$176,000.00 1 month ago San Francisco, CA $130,000.00-$140,000.00 2 weeks ago San Francisco, CA $125,000.00-$175,000.00 3 weeks ago San Francisco, CA $120,000.00-$190,000.00 8 months ago Alameda, CA $130,000.00-$160,000.00 3 weeks ago San Francisco, CA $130,000.00-$240,000.00 2 days ago San Francisco, CA $105,600.00-$198,000.00 3 days ago Software Engineer, Frontend (All Levels) San Francisco, CA $150,000.00-$220,000.00 2 weeks ago San Francisco, CA $130,000.00-$220,000.00 2 days ago San Francisco, CA $140,000.00-$180,000.00 1 month ago San Francisco, CA $165,000.00-$165,000.00 2 years ago San Francisco, CA $140,000.00-$280,000.00 7 months ago San Francisco, CA $130,000.00-$185,000.00 1 month ago San Francisco, CA $100,000.00-$200,000.00 1 year ago San Francisco, CA $120,000.00-$140,000.00 2 days ago San Francisco, CA $120,000.00-$200,000.00 2 years ago San Francisco, CA $130,000.00-$250,000.00 6 days ago San Francisco, CA $150,000.00-$250,000.00 9 months ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr
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
The information below covers the role requirements, expected candidate experience, and accompanying qualifications.
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?
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 levelMid-Senior level Employment type
Employment typeFull-time Job function
Job functionEngineering and Information Technology IndustriesVenture Capital and Private Equity Principals Referrals increase your chances of interviewing at SignalFire by 2x Get notified about new Machine Learning Engineer jobs in
San Francisco, CA . San Francisco, CA $160,000.00-$180,000.00 1 day ago San Francisco, CA $130,000.00-$238,000.00 2 weeks ago San Francisco, CA $145,000.00-$230,000.00 2 weeks ago San Francisco, CA $220,000.00-$350,000.00 2 weeks ago San Francisco, CA $150,000.00-$230,000.00 2 months ago San Francisco, CA $150,000.00-$176,000.00 1 month ago San Francisco, CA $130,000.00-$140,000.00 2 weeks ago San Francisco, CA $125,000.00-$175,000.00 3 weeks ago San Francisco, CA $120,000.00-$190,000.00 8 months ago Alameda, CA $130,000.00-$160,000.00 3 weeks ago San Francisco, CA $130,000.00-$240,000.00 2 days ago San Francisco, CA $105,600.00-$198,000.00 3 days ago Software Engineer, Frontend (All Levels) San Francisco, CA $150,000.00-$220,000.00 2 weeks ago San Francisco, CA $130,000.00-$220,000.00 2 days ago San Francisco, CA $140,000.00-$180,000.00 1 month ago San Francisco, CA $165,000.00-$165,000.00 2 years ago San Francisco, CA $140,000.00-$280,000.00 7 months ago San Francisco, CA $130,000.00-$185,000.00 1 month ago San Francisco, CA $100,000.00-$200,000.00 1 year ago San Francisco, CA $120,000.00-$140,000.00 2 days ago San Francisco, CA $120,000.00-$200,000.00 2 years ago San Francisco, CA $130,000.00-$250,000.00 6 days ago San Francisco, CA $150,000.00-$250,000.00 9 months ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr