Staff Machine Learning Engineer

Zscaler

About Zscaler Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability. We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity. Role  We are looking for a Staff Machine Learning Engineer to join our Exposure Management & Security Operations team. This role is a hybrid position based in Bangalore, reporting to the Sr. Manager, Engineering Strategy, Planning & Analytics. You will join the team that built the world’s largest cloud security platform from the ground up, helping to scale a multitenant architecture that serves over 15 million users globally. Your vision and passion will be critical as we continue to innovate and enable organizations to harness the speed and agility of a cloud-first strategy. What you’ll do (Role Expectations) * Designing and deploying scalable, reliable, and efficient production-grade Gen AI/ML systems from data ingestion to monitoring * Driving innovation by researching and evaluating emerging AI/ML frameworks, rapidly prototyping novel solutions, and championing full-scale implementation * Implementing and maintaining robust MLOps practices, including logging, monitoring, and CI/CD pipelines for distributed ML systems * Leading and mentoring junior engineers in system design best practices and promoting technical excellence * Collaborating with cross-functional teams to translate complex business needs into technical solutions Who You Are (Success Profile) * You thrive in ambiguity and are comfortable building the path as you walk it, seeing dynamic environments as the raw material to build something meaningful. * You act like an owner with a passion for the mission and a bias for action, navigating seamlessly between high-level strategy and hands-on execution. * You are a problem-solver who seeks out challenges because you are energized by finding solutions that deliver the biggest impact. * You are a learner with a growth mindset, actively seeking feedback to become a better partner and a stronger teammate. * You are driven by innovation and have a deep curiosity for how things work, believing in the power of technology to accelerate transformation. What We’re Looking for (Minimum Qualifications) * At least 5 years of experience as a Machine Learning Engineer with a track record of shipping complex, scalable ML systems to production * Proven experience building Gen AI/ML systems with LLMs, fine-tuning, Retrieval-Augmented Generation (RAG), and Agentic AI in production environments * Experience designing and implementing distributed ML systems with deep knowledge of MLOps, including monitoring and logging * Strong computer science foundation in data structures, algorithms, and system design with expertise in Python and SQL * Excellent communication and interpersonal skills to partner effectively across global engineering teams What Will Make You Stand Out (Preferred Qualifications) * Expertise with cloud services such as AWS, GCP, or Azure and ML platforms like Kubeflow or SageMaker * Proficiency in systems programming languages like Go or Rust with an understanding of distributed systems and networking fundamentals * A record of research, publications, or patents in AI/ML #LI-Hybrid #LI-GL2 At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: * Various health plans * Time off plans for vacation and sick time * Parental leave options * Retirement options * Education reimbursement * In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

Zscaler

About Zscaler Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability. We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity. Role We are looking for a Staff Threat Researcher to join our team. This is a Hybrid role, reporting to the leader in the Threat Detection Group in the ThreatLabz department. The Staff Threat Researcher will be primarily responsible for performing static and dynamic malware analysis, developing protections, and conducting reputation analysis on extracted IOCs. This role will also design threat research automation workflows and create testing and training datasets for ML models to ensure millions of global users on the Zscaler platform remain protected. What you’ll do (Role Expectations) * Conduct static and dynamic malware analysis to mitigate emerging threats, C2 frameworks, and malicious AI agents * Develop complex automation tools, prototypes, and detection signatures to integrate research findings into Zscaler products * Track the global threat landscape, identify attacker TTPs, and perform reputation analysis on extracted IOCs * Validate AI/ML model outputs and provide feedback to the engineering teams to enhance threat model efficacy * Contribute to the global security community by publishing in-depth threat analysis blogs and research papers Who You Are (Success Profile) * You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. * You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution. * You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. * You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. * You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We’re Looking for (Minimum Qualifications) * Demonstrated curiosity and active exploration of AI tools, with a proven history of integrating new technologies to enhance daily workflows and augment problem-solving * Four to seven years of experience in the Cyber Security Research Domain with strong proficiency in reverse engineering and debugging tools such as IDA Pro or x64dbg * Deep understanding of Windows internals, web application security, malware categories, and network protocols across TCP/IP and OWASP frameworks * Proven experience creating detection signatures using IDS/IPS and YARA to track the threat landscape and identify attacker TTPs * Strong programming proficiency in Python, Shell, Perl, or Ruby to build and optimize custom automation tools What Will Make You Stand Out (Preferred Qualifications) * Experience designing and implementing AI-powered automation solutions or prompt engineering workflows to scale threat research capabilities and analyze malicious AI agents * Possession of AI, prompt engineering, or agenting AI workflow related certifications and familiarity with the MCP protocol * B.E/M.E/B.Tech/M.Tech in Computer Science or Information Technology, or advanced cybersecurity-specific certifications #LI-Hybrid #LI-PM5 At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: * Various health plans * Time off plans for vacation and sick time * Parental leave options * Retirement options * Education reimbursement * In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

Accurx

💬 ACCURX IS WHERE CONVERSATIONS HAPPEN WITH AND ABOUT PATIENTS. For decades, the NHS has struggled with fragmented systems that make simple tasks feel impossible. We’re changing that by building a single, system-wide platform that connects everyone through communication. What started as a way for GPs to text a patient has now evolved into an all-in-one digital toolkit used by 98% of GP practices. Our platform now powers Total Triage to manage patient demand, and Self-Book, which lets patients schedule their own appointments in seconds. We’ve automated routine care with Patient Questionnaires for long-term conditions, while Accumail finally allows staff-to-staff communication to happen instantly across different care settings. We’re now pushing the boundaries of the consultation itself with Accurx Scribe, our AI-powered note-taker that drafts medical notes in real-time. THE TEAM We are a mission-driven team of 80 engineers based in London and the surrounding areas, united by the challenge of fixing healthcare communication. We are innovating for the NHS at a scale and depth that has never been done before, solving the real-world problems that stand between millions of patients and the care they need. We are a highly cross-functional group where engineering, product, data, and security collaborate as true peers. We foster a low-ego, high-impact environment that values expertise and new ideas, maintaining the high standards required to build and scale a national healthcare communication platform. As a Staff ML/AI Engineer, you'll operate across multiple product and platform teams - diving deep into selected ones to help them achieve great results with AI and ML. One key team you'll work closely with is our Triage Intelligence team, a high-impact, cross-functional group building the intelligence that powers how Accurx understands patient healthcare requests. CHALLENGES YOU’LL SOLVE... * You will set the technical direction for how AI/ML capabilities are built, deployed, and evolved across the organisation - defining both the what and the how, and ensuring alignment with Accurx's broader product roadmap. * You will own the end-to-end quality strategy for ML systems - going beyond standard metrics to incorporate privacy, bias, security, and maintainability, and designing systems that don't depend on a single expert to maintain. * You will act as a force multiplier across teams, building reusable platform capabilities, mentoring engineers into senior roles, and shaping how we hire and grow ML talent at Accurx. * You will identify and champion new AI/ML-powered product opportunities, translating clinical and product objectives into capabilities with group-wide impact - and leading decisively when the path forward is unclear. YOU SHOULD APPLY IF... * You have deep expertise across a range of ML techniques (e.g. Transformer-based NLP, Deep Learning, Tree-based methods, Bayesian modelling) and the judgment to select solutions that balance theoretical soundness against engineering practicality. * You have a proven track record of taking models from experimentation to high-availability production, designing systems (data versioning, training pipelines, model serving, monitoring) built for long-term maintainability. * You are comfortable setting technical direction for a team or area, making high-stakes build-vs-buy decisions, and influencing roadmaps beyond your immediate team. * You bring mastery of a production-grade language (e.g. Python, C#, or Go), with a focus on extensible, modular components and a strong instinct for system design. * You are a natural mentor and communicator, able to grow the next generation of senior engineers and tailor technical narratives to audiences from IC engineers to executive stakeholders. WHAT’S IN IT FOR ME? You'll be joining an established but fast-growing Tech for Good movement, where we're led by our Principles and our mission to fix healthcare communication. * £115,000 - £135,000 salary + share options up to £50,000 * Benefits to suit you: adjust your healthcare cover, your pension or life insurance, whatever stage you’re at in life * Flexible working: We are an office first culture and ask that you’re in our (dog-friendly) Shoreditch office 3 days a week, with core hours of 10am - 4pm * Time off: You’ll get 28 days of holiday (plus bank holidays) and up to 4 weeks to work from anywhere per year * Family matters: We offer enhanced parental leave, fertility support and parental loss support * We have our very own Chef! Free healthy breakfasts, snacks and lunches will be provided, with the occasional sweet treat!