Senior Machine Learning Engineer, Cribl
AI Research
$185-215k
Data engine for IT and security
Open for applications
Data engine for IT and security
1001+ employees
Open for applications
$185-215k
1001+ employees
Company mission
To empower enterprises to unlock the value of all their data.
Role
Who you are
- Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field with 4+ years of industry or research experience (Master's or PhD a plus)
- Deep hands-on experience training and evaluating ML models, including language models
- Strong proficiency in Python and ML frameworks such as PyTorch or TensorFlow
- Familiarity with MLOps tooling and infrastructure (e.g., MLflow, Weights & Biases, Kubeflow, or similar)
- Solid understanding of modern NLP, computer vision, and/or reinforcement learning techniques
- Strong ability to move fast without sacrificing rigor; you know when to prototype and when to productionize
- Excellent communication skills with the ability to clearly present experimental results to both technical and non-technical stakeholders
What the job involves
- You will work closely with the founding team and a group of highly-skilled engineers to shape the future of AI-enabled Security/Observability platforms
- You will play a central role in bringing integrating cutting-edge AI/ML technologies to the Cribl Product suite to help solve real customer problems
- You will work closely with development partners and key stakeholders to iteratively design, develop, and deliver products and surfaces that will delight our customers
- On top of it all you will have fun
- Cribl strives to be a great place to work for everyone
- Design, train, and evaluate machine learning models across a range of research and applied AI initiatives
- Run rapid, iterative experiments to test hypotheses and surface insights that drive model improvements
- Collaborate closely with researchers and engineers to translate cutting-edge academic advances into practical, production-ready systems
- Build and maintain robust ML pipelines for data ingestion, feature engineering, model training, and evaluation
- Optimize model performance through fine-tuning, hyperparameter search, and architecture experimentation
- Contribute to a culture of rigorous experimentation; tracking results, documenting findings, and sharing learnings with the broader team
- Stay current with the latest developments in ML and AI research, and proactively identify opportunities to apply them
- This position may require stand-by, on-call, or off-hours duties during critical research or deployment milestones
Our take
In a bid to simplify big data analytics, Cribl offers a data observability pipeline which allows users to reduce low value data, improve routing and gain more data context on one interface.
As companies now collect more and more data from frequently scattered sources, its useability and reliability comes into question. By offering an observability service, Cribl allows users to maintain the health of their data systems by monitoring, tracking and troubleshooting issues.
Cribl's main challenge will be competing with the likes of Observe and Edge Delta. However, Cribl has raised impressive funds that should accelerate its transition from a limited-function tool vendor to a fully fledged observability suite. The company also boasts surpassing $300 million in annual recurring revenue, having grown this from $1 million in less than four years.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
32% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Aug 2024
$200m
SERIES E
May 2022
$150m
SERIES D
Total funding: $592.5m
Company benefits
- Medical, dental, and vision insurance: Our comprehensive benefit plans have you and your family covered when it comes to the important stuff. Beyond the basics, we also have supplemental plans like accident insurance, One Medical, and FSA/HSA accounts.
- Disability and income protection: When you need it most, Cribl's disability and income protection benefits have your back, with up to 4 weeks of paid medical leave. We also cover basic life insurance with options to increase your coverage.
- Mental health Care: Mental health is physical health! We offer free coaching, therapy sessions and more through Modern Health to support you in navigating all aspects of life.
- Retirement plan: Saving for the future doesn't happen all at once. We offer retirement accounts to help you make progress towards your financial goals.
- Family planning: Regardless of what your family unit looks like at home, Cribl supports your journey by offering family-forming benefits from adoption, to fertility, and through postpartum. We also offer a paid gender-neutral parental leave benefit to support you and your family.
- Time off: We offer generous, flexible time off for all employees and empower you to balance your work and life in the ways that suit you best. Twice a year we all log off together for a "Recharge Day", and in December we enjoy a company-wide winter break.
- Remote office perks: All new employees receive a one-time $1,000 stipend towards their home-office set up. We also offer a monthly reimbursement for phone, internet, coworking pass, or a weekly meal.
Company HQ
Yerba Buena, San Francisco, CA
Leadership
Clint Sharp
(Co-Founder & CEO)They were Chief Software Architect at Prophetline from 1999 to 2002, and the founder of Aggregate Technology Solutions. They were also Senior Director of Product Management at Splunk.
Dritan Bitincka
(Co-Founder & Products)They worked as Computer Sciences Laboratory Director at Farleigh Dickinson University. Joined Splunk as Principal Architect in 2011.
Ledion Bitincka
(Co-Founder & CTO)They acted as a Scientific Consultant at Harvard University before joining Looksmart as a Software Engineer in 2006. They founded Triangulus Communications and were Splunk's Advanced Development Architect.
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