RunSybil Logo

RunSybil

Machine Learning Engineer

Reposted 7 Days Ago
Hybrid
New York, NY, USA
Mid level
Hybrid
New York, NY, USA
Mid level
The Machine Learning Engineer will propose technical initiatives, lead design discussions, translate challenges into plans, and uphold engineering standards.
The summary above was generated by AI
About RunSybil
RunSybil is an AI security startup scaling offensive security services by automating hacker intuition. We’re building Sybil: an AI-powered penetration testing product that finds vulnerabilities faster than human hackers. Backed by strong investor support and early customer traction, our team is composed of experts from the likes of OpenAI, Meta, Mandiant, Palantir, Cruise, and Trail of Bits.

About this Role
We are seeking talented engineers intent on changing the security industry. If you have experience on fast-moving teams and pushing out high quality experiments: we want to talk to you.

What You’ll Do:
  • Propose and implement technical initiatives based on product roadmap needs
  • Lead technical design discussions, contribute to team decisions, and provide feedback on engineering approaches
  • Translate ambiguous technical challenges into actionable plans, and execute them in collaboration with the team
  • Serve as the cornerstone of our engineering culture by setting and upholding exemplary standards for code quality, practices, and craftsmanship
We’re Looking For Someone Who Has A Mix of The Following:
  • Experience working with security data problems
  • MS or PhD in a quantitative discipline is nice but certainly not required - strong bias for building product-informing experiments versus published works
  • 4+ years of experience designing experiments and managing data infrastructure
  • Understanding of both modern and classic machine learning techniques
  • Equally comfortable with Jupyter notebooks and building data pipelines
  • Seeks autonomy, creative problem-solving, and moving quickly in an ambiguous environment


Location:
Hybrid role based in New York City. Some travel may be required.

What We Offer:
  • Competitive Salary: Attractive startup compensation package with equity options
  • Benefits: Excellent medical, dental, and vision plans. Unlimited PTO
  • Growth Opportunities and Early Impact: Work directly with and learn from industry leaders while driving significant impact in our fast-growing security startup

We understand not every applicant will meet every qualification. We value hard work and potential, and still want to hear from you!

Similar Jobs

10 Days Ago
Hybrid
New York, NY, USA
178K-313K Annually
Senior level
178K-313K Annually
Senior level
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Design and implement generative ML systems (image, video, audio, multimodal LLMs) and deliver on-device and server-side inference. Build GenAI pipelines and AR experiences, prototype with cross-functional teams, and optimize efficient models for real-time mobile and wearable applications.
Top Skills: Audio GenerationAugmented RealityC++ClassificationDiffusion ModelsGenerative ModelsImage GenerationLlmsMobile Real-Time SoftwareObject DetectionOn-Device InferencePythonPyTorchSegmentationTensorFlowTrackingVideo Generation
11 Days Ago
Easy Apply
Hybrid
New York, NY, USA
Easy Apply
172K-238K Annually
Senior level
172K-238K Annually
Senior level
Fintech • Machine Learning • Mobile • Security • Software
Build and deploy transformer and sequential deep learning models using large-scale financial and behavioral data to power personalized growth and marketing experiences. Work cross-functionally to design scalable training, serving, and monitoring infrastructure (batch and real-time), contribute to experimentation and optimization frameworks, and maintain production-grade MLOps systems to improve member engagement and business metrics.
Top Skills: AirflowAWSKafkaPysparkPythonPyTorchRedisSagemakerSnowflakeSparkSQL
12 Days Ago
Hybrid
New York, NY, USA
136K-169K Annually
Junior
136K-169K Annually
Junior
Fintech • Machine Learning • Payments • Software • Financial Services
Design, build, deploy, and maintain production machine learning models and pipelines at scale. Collaborate in cross-functional Agile teams to architect ML systems, automate testing and CI/CD, monitor model performance, and apply responsible and explainable AI practices. Leverage cloud platforms and distributed computing to optimize model training and serving.
Top Skills: SparkAWSAzureBig DataCi/CdDaskDistributed ComputingDistributed File SystemsGoogle Cloud PlatformJavaLlmsMulti-Node DatabasesPythonPyTorchScalaScikit-LearnTensorFlow

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account