SignalFire
Staff Machine Learning Engineer - VC Backed Startups
SignalFire, New York, New York, us, 10261
Staff Machine Learning Engineer - VC Backed Startups
Join to apply for the
Staff Machine Learning Engineer - VC Backed Startups
role at
SignalFire . 1 day ago – Be among the first 25 applicants.
This role’s compensation is based on skill and experience.
Your actual pay will be discussed with a recruiter.
Base pay range $170,000.00/yr – $250,000.00/yr
SignalFire partners with top early‑stage startups that are shaping the future of technology. Our portfolio spans 200+ companies across AI, cybersecurity, healthtech, fintech, developer tools, and enterprise SaaS.
Who Should Join?
Build cutting‑edge AI/ML models and deploy them in production.
Be excited to join early‑stage startups in transformative industries.
Want to stay connected with SignalFire’s portfolio for future opportunities.
Typical Roles and Responsibilities
Develop and deploy machine learning and deep learning models.
Build scalable data pipelines for training and inference.
Collaborate directly with founders to align AI strategies with product roadmaps.
Research and implement state‑of‑the‑art AI methodologies.
Optimize 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.
Contact: talentnetwork@signalfire.com
Seniority level Mid‑Senior
Employment type Full‑time
Job function Engineering and Information Technology
#J-18808-Ljbffr
Staff Machine Learning Engineer - VC Backed Startups
role at
SignalFire . 1 day ago – Be among the first 25 applicants.
This role’s compensation is based on skill and experience.
Your actual pay will be discussed with a recruiter.
Base pay range $170,000.00/yr – $250,000.00/yr
SignalFire partners with top early‑stage startups that are shaping the future of technology. Our portfolio spans 200+ companies across AI, cybersecurity, healthtech, fintech, developer tools, and enterprise SaaS.
Who Should Join?
Build cutting‑edge AI/ML models and deploy them in production.
Be excited to join early‑stage startups in transformative industries.
Want to stay connected with SignalFire’s portfolio for future opportunities.
Typical Roles and Responsibilities
Develop and deploy machine learning and deep learning models.
Build scalable data pipelines for training and inference.
Collaborate directly with founders to align AI strategies with product roadmaps.
Research and implement state‑of‑the‑art AI methodologies.
Optimize 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.
Contact: talentnetwork@signalfire.com
Seniority level Mid‑Senior
Employment type Full‑time
Job function Engineering and Information Technology
#J-18808-Ljbffr