SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors.
We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders.
At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact.
About the Role
SandboxAQ is looking for a talented Staff/Senior Machine Learning Engineer to join our dynamic team. The ideal candidate will have extensive experience on designing ML-enhanced features, ML operations, and model training. You will be part of a diverse team consisting of software engineers, cybersecurity engineers, and ML experts, playing a key role bringing ML features to the cybersecurity technologies being developed by the team.
What You'll Do
- Be the ML team tech lead: leading projects and influencing the team’s technical decisions, as well as the team technical operations.
- Be the ML team manager (potentially): if experienced enough, and willing to, manage the growth and career of the ML team members.
- Work closely with the product and engineering teams to decide on ML functionalities to be added to our software, and integration paths.
- Design, develop, and implement end-to-end machine learning solutions as an individual contributor.
- Work closely with other ML team members and the engineering team to integrate ML solutions into existing solutions.
- Analyze large-scale security data incl. network traces, filesystems, and logs / event data.
- Optimize and fine-tune machine learning models to improve performance and scalability.
- Conduct research to stay updated on the advancements in ML applied to cybersecurity.
- Perform thorough testing and validation of ML models to ensure reliability / effectiveness.
Who You Are
- Proven experience working as an ML Engineer.
- Experience with rapid prototyping to deploy machine learning algorithms.
- Familiarity with common ML tools (TensorFlow, Keras, PyTorch, etc.)
- Proficiency in programming languages such as Python / C++.
Nice to Haves
- At least 5 years of proven experience working as an ML Engineer.
- Experience with unsupervised learning and data visualization for large datasets.
- Experience with MLOps frameworks for processing and analyzing large datasets.
- Solid understanding of computer science, cryptography, and cybersecurity principles.
- Project management experience.
- Experience interacting with product teams and understanding of market requirements.
- Excellent communication skills and ability to work in a startup environment.
The US base salary range for this full-time position is expected to be $167k-$269k per year. Our salary ranges are determined by role and level. Within the range, individual pay is determined by factors including job-related skills, experience, and relevant education or training. This role may be eligible for annual discretionary bonuses and equity.
We are committed to creating an inclusive culture where we have zero tolerance for discrimination. We invest in our employees' personal and professional growth. Once you work with us, you can’t go back to normalcy because great breakthroughs come from great teams and we are the best in AI and quantum technology.
We offer competitive salaries, stock options depending on employment type, generous learning opportunities, medical/dental/vision, family planning/fertility, PTO (summer and winter breaks), financial wellness resources, 401(k) plans, and more.
Equal Employment Opportunity: All qualified applicants will receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.
Accommodations: We provide reasonable accommodations for individuals with disabilities in job application procedures for open roles. If you need such an accommodation, please let a member of our Recruiting team know.
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