Oleria Corp.
Principal Applied AI/ML Engineer (AWS/Golang required)
Oleria Corp., San Francisco, California, United States, 94199
Company OverviewWe’re seeking an exceptional Principal AI/ML Engineer to join our creative team. Oleria is an enterprise cybersecurity startup founded by notable industry senior leaders Jim Alkove and Jagadeesh Kunda, with deep security, data, and SaaS experience building and securing some of the world’s largest platforms and products used by billions of people worldwide every day. Oleria has received over $43M in funding from Evolution Equity Partners, Salesforce Ventures, Tapestry VC, Zscaler, and other technology luminaries.We recognize that identity-based attacks on cloud applications are becoming increasingly common, highlighting the importance of addressing access risks to prevent data breaches. Traditional access management methods are human-intensive and often have significant blind spots, making it challenging to manage access risks effectively. At Oleria, we are on a mission to revolutionize access control solutions for enterprise cloud applications, aiming to reduce the opportunity and scope of data breaches.Our esteemed target customers consist of Fortune 500 corporations and public sector organizations, making your contributions vital to improving the security of data for millions of people around the world.Engineering at OleriaWe're building a data-driven, autonomous identity security platform. Our core is an advanced data platform that leverages AI to analyze access intelligence graphs, delivering adaptive and self-learning access controls. We're passionate about creating intuitive, customer-centric products that provide unparalleled visibility, control, and defense. We leverage graph technology and artificial intelligence to pioneer a new approach that eliminates complexities and human intervention in identity and access management.About YouYou're an AWS Cloud trailblazer with strong skills to deploy AI/ML modeling onto production. You work efficiently with backend and middle engineers to deploy AI models into our products within an AWS environment, and are proud to see the AI enhancements deliver high impact for customers. You crave a startup environment where your code shapes groundbreaking products. We offer autonomy, impact, and the opportunity to redefine identity security with AI/ML.Your PlaygroundNo Ivory Towers:
Ideas rule, not titles. Your expertise guides our tech stack, influences product strategy, and mentors future AI leaders.Code that Protects:
Forget trivial tasks. You'll build AI models that detect threats, uncover vulnerabilities, and empower customers to secure their cloud identities.AI Frontier:
We push boundaries. You'll experiment with cutting-edge AI/ML techniques, leverage cloud resources, and create systems that set new standards.Collaborative Spirit:
We're a close-knit team valuing open communication. Your voice matters, and your ideas spark innovation.Your StrengthsAI/MLOps:
You possess deep expertise in deploying machine learning, data science, and algorithms with a proven track record of deploying production-ready models.Cloud:
You harness the cloud's power (especially AWS) to build scalable, efficient AI solutions.Data:
You extract insights from massive, complex datasets, transforming raw information into actionable intelligence using advanced data processing and feature engineering techniques.Problem Solving:
Complex challenges excite you. You dissect them with creativity, logic, and a hacker's mindset, demonstrating a strong ability to design and implement innovative solutions.Mentorship:
You're passionate about sharing knowledge, guiding junior engineers, and fostering a culture of growth and continuous learning.Job DutiesBuild Data Pipelines:
Create robust data ingestion, processing, and storage pipelines to handle massive volumes of cloud identity logs and metadata from diverse sources. Implement efficient ETL processes, data cleaning, and transformation techniques.Optimize and Deploy:
Fine-tune models, deploy them at scale on AWS, and ensure their continuous improvement and performance. Utilize containerization and orchestration tools for efficient deployment and management.Integrate:
Connect and integrate AI/ML with other products and cloud services to provide scalable, performant and cost-effective solutions and cohesive experience.Collaborate on AI/ML Modeling:
Work with data scientists to design, develop, and maintain machine learning models and algorithms to analyze cloud identity access data risks for governance, and detect anomalies, and threats. This includes: Data Analysis and Feature engineering, model training, evaluation, and optimization, algorithm development and implementation, addressing challenges like imbalanced datasets and concept drift.Collaborate:
Work closely with backend engineers, data scientists, and product teams to integrate AI solutions into our core platform. Contribute to API design and ensure seamless communication between AI components and other systems.Innovate:
Stay abreast of the latest AI/ML research and explore new techniques to enhance our security capabilities. Proactively identify opportunities for improvement and drive the adoption of new technologies.Post Production Support:
Pipeline and model maintenance and issue resolution.Job Requirements10+ years
of experience in software development with cloud technologies.3+ years of
practical AI/ML data pipeline, modeling and deployment.Advanced degree
(MS) in Computer Science, Artificial Intelligence, Machine Learning, or a related field is preferred, but equivalent experience is acceptable.Expertise
in machine learning, data pipeline, AI/MLOps for models in deep learning, natural language processing, time series analysis, AWS services such as Spark, containerization, S3, Redshift, Neo4j or related tools.Language Proficiency
in Golang.Languages and Frameworks:
Many and varied, with understanding of technical and community pros, cons, and tradeoffs.Experience
with AWS, big data technologies (Spark, Redshift), and distributed computing.Strong
communication and collaboration skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.Passion
for applying AI to solve real-world security challenges and a strong desire to make a meaningful impact.Strong collaboration
skills with the ability to work with others in a conscientious manner.Adaptable
and flexible for success in a startup environment.Problem solving
skills with a design mindset.Self starter
capabilities where you can help to define direction and deliver.Knowledge of security concepts , threat detection techniques, and anomaly detection algorithms strongly.Demonstrated experience in all areas outlined in the job duties.Willing and able to work in a local Oleria office 3x per week T-TH and attend other in person events as necessary.What Oleria OffersCompetitive salary, equity, and benefits package.Opportunities for professional growth and advancement in a fast-growing company.The chance to work directly with our co-founders and contribute meaningfully to shaping the company’s direction.A collaborative and dynamic work environment with a dedicated team of professionals.The base annual compensation range being offered for this role depending on individual candidate level and experience is $180,000 to $240,000 and it provides an opportunity to participate in equity ownership of our technology startup.
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Ideas rule, not titles. Your expertise guides our tech stack, influences product strategy, and mentors future AI leaders.Code that Protects:
Forget trivial tasks. You'll build AI models that detect threats, uncover vulnerabilities, and empower customers to secure their cloud identities.AI Frontier:
We push boundaries. You'll experiment with cutting-edge AI/ML techniques, leverage cloud resources, and create systems that set new standards.Collaborative Spirit:
We're a close-knit team valuing open communication. Your voice matters, and your ideas spark innovation.Your StrengthsAI/MLOps:
You possess deep expertise in deploying machine learning, data science, and algorithms with a proven track record of deploying production-ready models.Cloud:
You harness the cloud's power (especially AWS) to build scalable, efficient AI solutions.Data:
You extract insights from massive, complex datasets, transforming raw information into actionable intelligence using advanced data processing and feature engineering techniques.Problem Solving:
Complex challenges excite you. You dissect them with creativity, logic, and a hacker's mindset, demonstrating a strong ability to design and implement innovative solutions.Mentorship:
You're passionate about sharing knowledge, guiding junior engineers, and fostering a culture of growth and continuous learning.Job DutiesBuild Data Pipelines:
Create robust data ingestion, processing, and storage pipelines to handle massive volumes of cloud identity logs and metadata from diverse sources. Implement efficient ETL processes, data cleaning, and transformation techniques.Optimize and Deploy:
Fine-tune models, deploy them at scale on AWS, and ensure their continuous improvement and performance. Utilize containerization and orchestration tools for efficient deployment and management.Integrate:
Connect and integrate AI/ML with other products and cloud services to provide scalable, performant and cost-effective solutions and cohesive experience.Collaborate on AI/ML Modeling:
Work with data scientists to design, develop, and maintain machine learning models and algorithms to analyze cloud identity access data risks for governance, and detect anomalies, and threats. This includes: Data Analysis and Feature engineering, model training, evaluation, and optimization, algorithm development and implementation, addressing challenges like imbalanced datasets and concept drift.Collaborate:
Work closely with backend engineers, data scientists, and product teams to integrate AI solutions into our core platform. Contribute to API design and ensure seamless communication between AI components and other systems.Innovate:
Stay abreast of the latest AI/ML research and explore new techniques to enhance our security capabilities. Proactively identify opportunities for improvement and drive the adoption of new technologies.Post Production Support:
Pipeline and model maintenance and issue resolution.Job Requirements10+ years
of experience in software development with cloud technologies.3+ years of
practical AI/ML data pipeline, modeling and deployment.Advanced degree
(MS) in Computer Science, Artificial Intelligence, Machine Learning, or a related field is preferred, but equivalent experience is acceptable.Expertise
in machine learning, data pipeline, AI/MLOps for models in deep learning, natural language processing, time series analysis, AWS services such as Spark, containerization, S3, Redshift, Neo4j or related tools.Language Proficiency
in Golang.Languages and Frameworks:
Many and varied, with understanding of technical and community pros, cons, and tradeoffs.Experience
with AWS, big data technologies (Spark, Redshift), and distributed computing.Strong
communication and collaboration skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.Passion
for applying AI to solve real-world security challenges and a strong desire to make a meaningful impact.Strong collaboration
skills with the ability to work with others in a conscientious manner.Adaptable
and flexible for success in a startup environment.Problem solving
skills with a design mindset.Self starter
capabilities where you can help to define direction and deliver.Knowledge of security concepts , threat detection techniques, and anomaly detection algorithms strongly.Demonstrated experience in all areas outlined in the job duties.Willing and able to work in a local Oleria office 3x per week T-TH and attend other in person events as necessary.What Oleria OffersCompetitive salary, equity, and benefits package.Opportunities for professional growth and advancement in a fast-growing company.The chance to work directly with our co-founders and contribute meaningfully to shaping the company’s direction.A collaborative and dynamic work environment with a dedicated team of professionals.The base annual compensation range being offered for this role depending on individual candidate level and experience is $180,000 to $240,000 and it provides an opportunity to participate in equity ownership of our technology startup.
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