Staff ML Engineer

3 weeks ago

bangalore, India Borneo Full time

About the Job

Borneo is a fast-growing startup developing a cutting-edge data security and compliance automation platform, and we’re seeking a Staff ML Engineer to join our team and bring new ideas to life by innovating upon our LLM-based solution . This role requires proven experience in LLM and its adaptation to real-world challenges in privacy and security automation. You’ll work closely with cross-functional teams to build tools that proactively manage data flows, automate anomaly detection, and streamline compliance processes.

Key Responsibilities

LLM Exploration :
Drive the development of innovative applications for LLMs in privacy and security, such as multi-model LLM ensembles, advanced privacy risk assessment, and adaptive compliance monitoring.
Experiment with new architectures and LLM fine-tuning methods, finding unique ways to solve compliance challenges, detect security anomalies, and enforce data privacy rules.

Use Case Expansion : Work collaboratively with Product, Compliance, and Security teams to identify and deliver on high-impact use cases. Potential areas include:

Data Flow Tracking : Building LLM-powered tools that map data movement across systems to preemptively identify privacy risks.

Automated Compliance : Leveraging LLMs to streamline reporting and enforcement of industry-specific regulations.

LLM Optimization :
Design efficient, scalable LLM models optimized for real-world performance in privacy and security. Regularly refine models to reduce latency, maintain compliance accuracy, and address evolving privacy regulations.
Integrate LLMs into production environments through CI/CD pipelines, ensuring continuous delivery of new insights, detection capabilities, and compliance improvements.

Leadership :
Act as a thought leader within the company, exploring the latest advancements in LLM research and how they can be applied to security and privacy.
Mentor and guide team members, fostering a culture of innovation and best practices in LLM development.

Minimum Qualifications

10+ years in software engineering, with at least 5 years working with LLMs, ML or advanced NLP.
Extensive hands-on experience training, fine-tuning, and optimizing LLMs, such as GPT, BERT or custom models, for applications.
Proficiency in Python, ML frameworks, and familiarity with cloud environments (AWS, GCP, Azure).
Strong experience in deploying and maintaining LLM models in production.
Proficiency in advanced fine-tuning techniques, such as transfer learning, meta-learning, prompt engineering, and using domain-specific datasets for compliance-focused language models.
Skilled in evaluating models for fairness, interpretability, and explainability, essential for regulatory compliance and ethical AI.

Preferred Experience

Prior experience working in a startup or early-stage company, where agility and problem-solving are key.
Experience working in Agile environments with focus on delivering features incrementally.
Background in privacy-preserving techniques, such as federated learning, differential privacy, homomorphic encryption, and secure multi-party computation.

Why join us?

Impactful Work: Play a key role in developing innovative solutions that help enterprises manage privacy and compliance more effectively.
Growth Opportunities: Be part of a rapidly growing startup where your contributions will have a direct impact on the company’s success.
Collaborative Environment: Work alongside a talented team of engineers, product managers, and compliance experts who are passionate about what they do.
Competitive Compensation: We offer a competitive salary and attractive equity options.

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