Machine Learning Engineer (Hybrid)

at  Anetac Inc

Job Title: Senior Machine Learning Engineer
Location: Los Altos, California (Hybrid)
Department: Engineering
Reports To: Head of Engineering
About Anetac: Antetac is founded on a mission to dynamically link data patterns, accounts, and identities. At Anetac, our roots in cybersecurity run deep, We leverage decades of cybersecurity experience to serve organizations of all types and sizes. Prior to establishing Anetac, our founding team conducted in-depth interviews with over 35 security executives around the globe to understand issues related to service accounts. With a customer-centric approach and mindfulness to the dynamic environments facing security teams today, we have developed a world-class identity management platform that provides streaming discovery and management of the dynamic service account landscape every organization encounters today. Our knowledge, passion for security and commitment to continuous improvement are aimed at transforming how service accounts are managed and secured.
Anatec is a series A funding company totaling $16 million which will bring necessary disruption to the identity and security market by providing an intuitive, rapidly deployable SaaS solution. The streaming solution offers real-time visibility, enabling users to discover, monitor and respond to the large threat surface exploited via service accounts. These threats include but are not limited to large standing privileges, shared use, lack of credential rotation and dormancy of an account.

JOB SUMMARY:

We are looking for a Senior Machine Learning Engineer to join our team. We are a cutting-edge cybersecurity company on a mission to revolutionize the way identity is used in security. Our founding team has more experience in customer-centric enterprise security, and innovative engineering than any competitor out there. Funded by top-tier VCs, offer competitive benefits, pre-IPO equity and a huge opportunity for growth and leadership.
As our Senior ML Engineer, you will conceive, code, and deploy data science models at scale using the latest industry tools. You will bring skills to the team including data wrangling, feature engineering, developing models, and testing metrics.

QUALIFICATIONS:

• 5+ years of software engineering work experience, including hands-on experience of managing massive data sets and building algorithms, ML frameworks.
• 5+ years experience with Tensorflow, Scikit-learn, PyTorch and other ML-tools kits.
• Prior experience in building transformer models, reinforcement learning models, recommendation systems, information retrieval systems and NLP systems.
• Hands-on experience in all stages of ML model life cycle, including data mining, curation, training and MLOps
• Deep understanding of security domain such as threat investigation, fraud analytics, MITRE, Risk analysis, Anomaly detections, Identity systems.

BONUS QUALIFICATIONS:

• Aware of the current LLM model landscape and have used open-source code to build & tune Generative AI models.
• Capable of thinking out of the box to mitigate nuances related to LLM models.

• Capable of building robust, high-scale machine learning systems from scratch.
• Track record of building successful ML models and deploying them.
• Define, develop and drive ML strategy across the company.
• Comfortable with solving ambiguous problems and adapting to a dynamic environment.
• Proficiency in programming for algorithms and code reviews.
• Comprehensive understanding of Agile technical practices, DevSecops and testing concepts.
• Collaborating with data acquisition team on optimizing the support for variable data sources, and data presentation team on data readiness and availability.