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This is an opportunity to work on revolutionary algorithm, specifically within deep reinforcement learning, as that is their bread and butter. You will be improving the way people interact online among buyers and sellers at this top company! You get to work with AI heavyweights on pivotal solutions.

Description:

• You will build, implement, scale, and optimize machine learning and deep learning models for a better consumer experience
• Communicate with stakeholders and leaders from various verticals to define business goals and deliver business insight with deployable machine learning algorithms and influence decisions
• Demonstrate a high level of ownership of tasks at hand, with the liberty of taking an approach and making it yours
• Collaborate with world-class data scientists and engineers to make an impact in the world!

Qualifications:

• Expertise in Python to productionize machine learning developments
• HUGE PLUS! Industry experience deploying models based on Deep Learning, Reinforcement Learning, and/or Bayesian statistics frameworks
• Strong capacity to work with Big Data using Hive, Hadoop, and/or Spark, as well as hands-on experience working with GCP
• Extensive knowledge of Machine Learning models, especially Natural Language Processing, for content analysis
• Exceptional communication skills and a passion for data!

You will work alongside a diverse team of engineers, developers, and security advisers to design, architecture, and drive security posture changes. We’re looking for someone with a broad knowledge of both security and systems. This is a senior role, and we’re looking for someone who has experience with a wide variety of real-world issues.

• Develop our information security roadmap with researchers, developers, and IT team.
• Develop and implement a broad security awareness program for employees to mitigate phishing risks and increase reporting of anomalous activity.
• Design, architect, and implement defensive security controls across endpoints (MacOS, Windows), servers (Linux), and SAAS/self-hosted applications.
• Develop and deploy centralized logging and alerting infrastructure to proactively identify malicious threats.
• Collaborate with engineering teams to improve security for identity access and management (IAM), device management, and public cloud service providers (e.g. Amazon AWS, Microsoft Azure).
• Design, architect, and implement defensive security controls for e-mail (SPF, DKIM, DMARC, attachment sandboxing, etc.) and other collaboration applications.

• 3+ years of direct information security experience with deep exposure in protecting one or more operating system platforms (Windows or MacOS) and a willingness to become an expert in protecting MacOS.
• Experience with public cloud service providers (e.g. Amazon AWS, Microsoft Azure) and a willingness to become an expert in protecting Azure and our internal application infrastructure.
• Strong knowledge of modern adversary tactics, techniques, and procedures.
• Ability to empathize and collaborate with colleagues, independently manage and run projects, and ruthlessly prioritize efforts for risk reduction.
• Intermediate or better proficiency with a scripting language (e.g. PowerShell, Bash, Python, or similar).Experience building and maintaining enterprise logging pipelines (e.g. Splunk, Kibana, SumoLogic).

If you enjoy solving problems at scale (with lots riding on it) we hope you'll consider joining us.

Description:

The team is comprised of bright minds across many cybersecurity domains, with expertise in Incident Response, Threat Intelligence, Security Architecture, Cyber Risk Management, Security Strategy, Controls, Compliance, and Governance. In the Security Engineering role your mandate is to protect our customers from loss. As a part of this mandate you might find yourself investigating data breaches and claims events, leading incident response efforts with our clients and partners, conducting security gap analysis assessments, assisting with penetration testing / red-team assessments, or otherwise working across our client base on topics ranging from security architecture and cloud security, to data protection and compliance.

You will also have an opportunity to work with our product team to codify security best practices into our underwriting algorithms, rating models, and risk management apps.

Responsibilities:

• Review and analyze the security posture of insureds or potential insureds quickly and efficiently.
• Prototype tooling for risk enumeration and threat intelligence,
• Model threats, fingerprint exploits and build validation logic for accurate vulnerability identification.
• Evaluate customer security programs, technologies, controls, and business environments; recommend and develop enhancements.
• Assist with developing Information Security Plans and Policies, including those for Incident Response, customized to customer requirements and risk profile.
• Provide recommendations on solutions to help customers manage information security risk.
• Track emerging security practices and contribute to building internal processes, and our various products.
• Stay abreast of the current regulatory environment, industry trends and related implications.

Qualifications:

• Bachelor’s Degree in Computer Science, Information Security, Engineering, or other relevant subjects.
• Minimum of 2-4 years of incident response or digital forensics experience.
• Demonstrated expert understanding of the life cycle of network threats, attacks, attack vectors, and methods of exploitation with an understanding of intrusion set tactics, techniques, and procedures.
• Knowledge of TCP/IP Protocols, network analysis and network/security applications, including log and network traffic capture analysis.
• Experience with EnCase, FTK, SIFT, Volatility, Splunk, Graylog, ELK/Logstash, WireShark, Zeek, or other open source forensic/log analysis/network analysis tools.
• Knowledge of industry standard frameworks – NIST, ISO, HIPAA, PCI.
• Self-motivated; entrepreneurial spirit; comfortable working in a fast-paced, dynamic environment.
• Strong interpersonal communication skills (verbal & written).
• Aptitude to learn technical concepts/terms, and ability to manage multiple tasks/projects simultaneously.

Prefered skills:

• Security policy, governance, privacy or regulatory experience (e.g., NIST, ISO, HIPAA, PCI).
• Securing cloud based platforms (Microsoft Azure, Amazon AWS, etc.). Experience with system hardening procedures for Windows, Linux, Unix is helpful.
• Knowledge and/or experience with Nmap, Nessus, Nexpose, Qualys, Burp, Kali, Metasploit, Meterpreter, or other offensive tools is helpful.
• Knowledge of programming and scripting for development of security tools and industry frameworks is helpful.
• SCADA / Control systems network experience a plus.

This is a position with high impact, where you'll have the opportunity to collaborate with senior ML engineers, software engineers and product managers to build the next generation of our AI solutions. Our team is a group of problem-solvers who do what it takes to solve challenging problems in machine learning and computer vision.

We've applied deep learning to our dataset of billions of images to build a best-in-class document digitization engine, and we're looking for someone to help build the next generation. If you're excited about solving real-world problems and making an impact on our customers using large datasets and cutting-edge machine learning, this is the position for you.

Description:

• Own the entire machine learning stack, from data curation to research to production to evaluation
• Manage a team of world-class ML engineers
• Collaborate with senior machine learning engineers to solve real-world problems
• Mentor application engineers and junior ML engineers
• Collaborate with product team and engineering leaders to define ML vision and own ML roadmap
• Shape machine learning strategy
• Collaborate with other engineering teams to ship machine learning into production

Qualifications:

• PhD in computer science, machine learning, statistics, data science, or similar field, or equivalent industry experience
• 3+ years experience developing and deploying machine learning in production systems
• Strong computer science fundamentals: data structures, algorithms, and distributed systems
• Strong written and verbal communications skills
• Experience with deep learning and computer vision preferred
• Experience with distributed processing systems, cloud-based technologies, specifically AWS is a plus

You will be tackling challenging problems in information retrieval/ NLP domain and will be continuously innovating on areas such as NLP, Query understanding, Semantic Understanding, Intent classification, Search relevancy, Personalization, Predictive search, defining metrics and tracking, scalability to name a few.

Description:

• Create high-visibility, modern semantic search products and drive innovation
• Be a technical leader on Search relevancy algorithms, data mining, deep learning, recommendations and NLP,NLU
• Understands the technical aspects of our products, connect technical work to business strategy, and have the skills to implement, communicate, and influence others and Collaborate cross-functionally with other teams across the organization
• Be a technical leader and lead a team of software engineers, applied researchers and data scientist, Define technical standard and engineering cultures, conduct design reviews
• Chance to contribute to building semantic search capabilities ground-up by developing entity disambiguation models, knowledge graphs, NLU, recommenders and relevance models .
• Is responsible for modeling and deploying at scale ML solutions, discovering insights, and identifying and effectively communicating opportunities based on technical expertise and business strategy.

Qualifications:

• Has a minimum of seven years of hands-on experience developing large scale Machine Learning (Deep learning, Reinforcement learning etc) applications.
• Has ability to write high performance production quality code. Proficiency in Python, Scala and other equivalent languages is a plus.
• You have experience with ML and NLP tools (like TensorFlow, spaCy, scikit-learn etc)
• Has good understanding of Search relevancy algorithms. Experience in LTR and/or personalization is good to have.
• Has experience building and productionizing innovative end-to-end Machine Learning systems.
• Has in depth understanding of common families of models, feature engineering, feature selection and other practical machine learning issues

Seeking specialists to design and develop cutting edge algorithms that enable intelligent machines/systems to adapt and improve while gathering increasing amounts of data.

Description:

• Develop cutting edge machine learning algorithms for various parts of the online system including perception, planning and forecasting
• Guide the development of these algorithms from prototype to production - including training on large scale datasets, and deploying on a real time robotic platform
• Identify new areas (both online and offline) where machine learning can leverage data to enhance performance
• Design, build and maintain large scale production machine learning pipelines

Qualifications:

• BS, MS or PhD in Robotics, Machine Learning, Computer Science, or a related field
• Strong grasp of fundamentals: linear algebra, discrete and continuous optimization, supervised and unsupervised methods, generative and discriminative methods
• Expertise in one or more focus areas: deep learning, online learning, sequential prediction, graphical models, structured prediction, sequential models, reinforcement learning, imitation learning, planning under uncertainty, bayesian inference, model compression, multi-task learning, forecasting etc.
• Excellent software skills (C++/Python) required to train and evaluate state of the art algorithms on large datasets
• Experience with Tensorflow, Caffe, Pytorch and porting models to embedded platforms