Bolster Inc. is hiring a

Machine Learning Engineer - New Grad

Los Altos, United States
Full-Time
About Bolster
 
Bolster turns the security paradigm upside down and removes threats and digital risks before an attack occurs.  Our protection extends beyond the enterprise to customers and partners.  Our approach is the antithesis of today’s cyber defense strategy, which is to wait for an attack than try and prevent it.  Or worse, assume you have been breached and hope you can detect it.  We leverage the power of AI to apply deep learning, computer vision, and natural language processing to identify criminal intent on millions of web pages daily.  We tirelessly monitor the Internet to find malicious web pages that could cause harm and remove them.  We empower companies to take back control of the Internet by continuously eliminating the threats that threaten their business, customers, and brand. 
 
We are just getting started, and the future could not be more exciting.  We’re growing the team in all functions as we transition from a small start-up into the next phase of our journey.  We are looking for A-list talent who will have a meaningful impact, solve new challenges, and take ownership of the future of Bolster.  If this is you, apply and join our team!
 

Responsibilities

  • Build and maintain data pipelines and ETL processes to support machine learning/ deep learning model training and testing.
  • Use tools and programming languages to design and implement machine learning models like Python, R, TensorFlow, and PyTorch.
  • Work with large datasets to develop and refine models and analyze data to validate model accuracy.
  • Optimize speed, accuracy, and scalability models, and deploy models to production.
  • Develop automated testing and monitoring systems to ensure model performance and reliability.
  • Utilize open-source models and tools to build intelligence into the product

Requirements

  • Master's degree in Computer Science, Mathematics, Statistics, or a related field.
  • Strong programming skills in Python or other programming languages used for machine learning.
  • Familiarity with machine learning libraries and frameworks like TensorFlow, PyTorch, and scikit-learn.
  • Experience with data manipulation, ETL, and data analysis.
  • Strong problem-solving skills and the ability to work independently and in a team.
  • Strong communication and collaboration skills.

Why Bolster
 
Bolster creates a Next-Generation Fraud Prevention SaaS platform & CheckPhish community platform based on pioneering work in Artificial Intelligence-based phishing and scam detection systems.
 
Bolster protects the world’s top brands like Zoom, Dropbox, Uber, LinkedIn, Roblox, and other Fortune 500 customers. We are funded by top-tier investors led by Thomvest Ventures and Crosslink Capital. Our team has over 100 years of combined cybersecurity experience at Cisco, Symantec, McAfee, Bell Labs, Open DNS, and Lacework.
 
Our AI/ML technology protects regular citizens from bad actors on the internet, using industry-leading deep learning, computer vision, natural language processing, and machine learning models for highly accurate real-time detection & automated takedown of fraudulent sites at the internet scale.
 
We also brought our technology to the community with CheckPhish, https://checkphish.ai. It is a free tool that protects millions of consumers from daily phishing, fraud, and fake sites. Charities, non-profits, social benefit corps, and schools are targets too. To aid the world, we will give our technology & services for free or at cost to any approved charity, non-profit, or social benefit corporation.
 
Our work is challenging but fun. We're all about shipping elegant, high-leverage products.  Bolster cares deeply about collaboration, feedback, and iteration. Trust and respect are deeply rooted in our unique culture. Our inspiring proven leaders are hiring great people, providing super benefits, and impacting the world!
 
Learn about our cultural values:  https://bolster.ai/about-us
 
Pay Transparency:

Based on California law, the following details are for California individuals only:
California base salary range and eligible for equity and benefits.

Your actual base salary and level will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. 
 
 
What we offer:
-Excellent medical, dental, and vision insurance
-Flexible time off + paid holidays.
-Equity + 401(k) plan.

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