Senior Machine Learning Engineer in ZeroFox

Closed job - No longer receiving applicants

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.

Job functions

  • 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.
  • Design, develop, and deploy advanced machine learning models 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.
  • 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 scientists, and software engineers 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.

Qualifications and requirements

  • 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
  • Solid understanding of data structures and algorithms

Desirable 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.
  • Strong applied knowledge of statistics
  • Familiarity with deep learning and/or reinforcement learning
  • Familiarity with model fine tuning
  • Familiarity with good software engineering practices
  • Experience with cloud platforms such as AWS, Google Cloud, or Azure
We also value equivalent experience to those languages, frameworks, and tools. If you think you might be a fit, apply!

Benefits

  • Full flexibility to work from home or office
  • Opportunities to learn and contribute your knowledge to our Digital Risk Protection platform
  • Competitive compensation
  • Flexible work hours and 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
  • Training and growth monthly stipend
  • Excellent communication: between teams, people, organizations and leaders

Flexible hours Flexible schedule and freedom for attending family needs or personal errands.
Life insurance ZeroFox pays or copays life insurance for employees.
Meals provided ZeroFox provides free lunch and/or other kinds of meals.
Bicycle parking You can park your bicycle for free inside the premises.
Health coverage ZeroFox pays or copays health insurance for employees.
Dental insurance ZeroFox pays or copays dental insurance for employees.
Computer provided ZeroFox provides a computer for your work.
Informal dress code No dress code is enforced.
Vacation over legal ZeroFox gives you paid vacations over the legal minimum.
Beverages and snacks ZeroFox offers beverages and snacks for free consumption.
Vacation on birthday Your birthday counts as an extra day of vacation.
Parental leave over legal ZeroFox offers paid parental leave over the legal minimum.

Remote work policy

Locally remote only

Position is 100% remote, but candidates must reside in Chile.

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