Senior Machine Learning Engineer

hace 3 semanas

Lo Barnechea, Chile ZeroFox A tiempo completo
Opportunity Overview

At ZeroFox, we are passionate about bringing world-class protection to the digital-first world. Together, we have built a system capable of collecting and analyzing data from all over the internet, creating a paradigm-shifting cybersecurity product that helps secure and protect our customers and improves the global threat landscape.

We are a team of software engineers, cybersecurity experts, and data scientists who continue to develop unparalleled solutions for the cyber security industry by providing the best Digital Risk Protection SaaS in the global market. Our company, services, and user base are growing faster than ever and we'd like you to help us innovate. We believe the greatest solutions in the Digital Risk Protection space come from composing teams with varied backgrounds and experiences that can use their complementary skill sets to come up with the best market-defining solutions.

Along the way, you'll expand your potential with constant opportunities to learn and grow alongside exceptionally knowledgeable, competent, and collaborative people.

If you want to be part of a group of talented, empathic individuals with a multitude of different backgrounds, who are committed to each other and to the overall success of the team and our customers, we want to hear from you At ZeroFox, soft skills are just as important as technical ability

Role And Responsibilities
  • Collaborate with industry experts across security, machine learning, digital risk protection, and cyber threat intelligence to develop cutting-edge machine learning solutions for the ZeroFox platform.
  • Help define machine learning roadmaps and projects for your team, with a pragmatic balance of higher risk and lower risk efforts.
  • Design, develop, and deploy advanced machine learning models and systems for natural language processing and computer vision applications, to enhance the lives of our customers while making the internet a safer place.
  • Evaluate and improve the accuracy, efficiency, and scalability of existing ML models.
  • Design and conduct statistically rigorous experiments (hypothesis testing, replication, etc.).
  • Conduct research and stay up-to-date with the latest advancements in NLP and computer vision techniques to integrate them into our solutions.
  • Collaborate with product managers, data analysts, software engineers and non-technical stakeholders to integrate ML models into the ZeroFox platform.
  • Analyze and preprocess large, diverse datasets, ensuring the quality and integrity of the data used for model training and evaluation.
  • Maintain clear and well-documented code to ensure long-term sustainability and smooth collaboration with other team members.
  • Provide technical guidance and mentorship to junior engineers, and ensure your team's growth and success.
Requirements
Required Qualifications and Skills
  • Motivated, communicative, teamwork-oriented leader who is comfortable working in agile environments and is able to learn and adapt quickly.
  • Bachelor's degree in computer science, math, physics, or a related field, OR equivalent education or experience.
  • Machine learning experience, typically a minimum of 5 years.
  • Team and/or project leadership experience, typically a minimum of 2 years.
  • Proficiency in PyTorch, TensorFlow, or similar machine learning frameworks.
  • Proficiency in Python.
  • Strong applied knowledge of statistics and scientific methods.
  • Solid understanding of data structures and algorithms.
  • Strong software engineering design and implementation skills involving multiple technology layers (databases, APIs, caching layers, etc.).
  • Good communication, collaboration, and presentation skills in English.
  • Ability to work effectively in a fast-paced, agile environment.
Desired Qualifications And Skills
  • Strong knowledge of NLP techniques, including but not limited to tokenization, parsing, sentiment analysis, topic modeling, and named entity recognition.
  • Strong knowledge of computer vision techniques such as object detection, segmentation, image classification, and OCR.
Benefits
  • Opportunities to learn and contribute your knowledge to our Digital Risk Protection platform.
  • Competitive compensation.
  • Competitive PTO.
  • Complementary health insurance.
  • Daily catered lunches for in-office work.
  • Respectful and nourishing work environment, where every opinion is heard and everyone is encouraged to be an active part of the organizational culture.
  • Regular team bonding activities like cooking and cocktails classes, bingos, stand up comedy, magic shows, virtual happy hour, lunch and learns, etc.
  • Additional Parental Leave.
  • Excellent communication: between teams, people, organizations and leaders.
About Us
ZeroFox is on a mission to make the internet safer for all. Innovation is at our core - we are relentless in the pursuit of finding new ways to disrupt external cyber threats on the surface, deep, and dark web. ZeroFox offers the only unified cybersecurity platform combining advanced AI analytics, digital risk and privacy protection, full-spectrum threat intelligence, and a robust portfolio of breach, incident and takedown response capabilities to protect customers from growing threats across the external attack surface. It's a great time to join us in the Fox Den - with fresh private equity funding, expanding investments in AI, a people-first culture, and centers of excellence around the world, we're growing like never before. If you're looking for a mission-oriented, customer-focused, collaborative team and ready to take the fight to the adversary, apply to join us in the Den today.

Equal Opportunity
We aim to build a team that represents a variety of backgrounds, perspectives, and skills. We embrace inclusion and ensure equal employment opportunity without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, military or veteran status, or any other personal characteristic.#J-18808-Ljbffr

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