Senior Machine Learning Engineer

2 months ago

Los Altos, United States Anetac, Inc. Full time
Job DescriptionJob Description

Job Title: Senior Machine Learning Engineer
Location: Los Altos, California (Hybrid)
Department: Engineering
Reports To: Head of Engineering
For Los Altos, California candidates the base salary range for this role is USD$ 140,000 per year - USD $230,000 per year.

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.

Key Responsibilities:

  • 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.

Qualifications:

  • 5+ years of software engineering work experience outside of college and or internships, 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.

Benefits:

  • Competitive salary.

  • Company equity.

  • Medical, dental, vision and stock options.

  • Generous time off.

  • Company meals every Wednesday.

  • Virtual weekly happy hours.

  • Monthly Health & Wellness Program stipend.

  • Commuter travel program.

  • Company events.

  • Professional Self Development stipend annually to grow your knowledge.

Our Commitment to Diversity and Inclusion:

We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.

Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at Anetac. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.

If you need any accommodations, please inform your recruiting contact upon initial connection.

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