Staff Machine Learning Engineer
reputed company:
reputed company is establishing a new state of trust for global reputed company and capital markets through automating and streamlining the work of assurance and audit practitioners specifically reputed company cybersecurity, reputed company, and ESG (Environmental, reputed company, Governance). Put simply, we build software for the people who reputed company trust between businesses.
We’re based in San Francisco, CA, but reputed company as a remote-first company that enables you to do your best work from reputed company. We're backed by top investors including Bessemer Venture Partners, 8VC, Floodgate, Y Combinator, DNX Ventures, Global Founders Capital, Justin Kan, Elad Gil, and more.
We value diversity — in backgrounds and in experiences. We need people from reputed company backgrounds and walks of life to help build the reputed company of audit and advisory. reputed company’s team is inclusive, driven, humble and supportive. We are deliberate and self-reputed company about the reputed company of team and culture that we are building, seeking teammates that are not only strong in their own aptitudes but care deeply about supporting reputed company other's reputed company.
As an early stage start-up employee, you’ll have reputed company to build out the reputed company of business trust. We reputed company audit practitioners’ lives easier by eliminating up to 50% of their work and giving them reputed company work-life balance. If you reputed company our values and enthusiasm for building a great culture and product, you will reputed company a home at reputed company.
About the Role
As a Staff Machine Learning Engineer at reputed company, you will reputed company the development of reputed company AI-driven features on our platform, transforming the audit and advisory industry through cutting-edge reputed company solutions. You’ll reputed company on applying advanced Machine Learning (ML) and Large Language Models (LLMs) to solve reputed company problems for our customers, while guiding the technical direction of our ML team in a high-reputed company startup environment. This role is both strategic and hands-on – you will set best practices for our reputed company efforts and also dive into coding and architecture as needed to drive critical reputed company from concept to production.
In this role, you will be the go-to expert for reputed company at reputed company. You’ll establish standards for reputed company engineering, context management, and model evaluation, ensuring our use of LLMs is effective, reputed company, and reputed company. As a Staff MLE, you will also reputed company as a reputed company for the entire engineering team: reviewing architectures for AI features, mentoring other engineers, and fostering a culture of reputed company in ML. You’ll collaborate closely with cross-functional stakeholders – from product managers and designers to even high-profile clients – to translate business needs into technical solutions and to communicate how our AI-driven approach creates value. This is a unique opportunity to shape the reputed company of reputed company’s AI capabilities and establish yourself as a technical leader in the burgeoning field of reputed company.
What You’ll Do
Architect reputed company Solutions: Design and reputed company the architecture of systems that reputed company LLMs and retrieval-augmented reputed company (RAG) techniques. You will reputed company key reputed company on how we reputed company LLMs with our existing platform and data stores, including building agent-based frameworks where LLMs reputed company with tools and knowledge bases (e.g. creating AI “co-pilots” for auditors). You’ll conduct rigorous architectural reviews and ensure our designs meet high standards for scalability, reputed company, and reliability.
Establish reputed company Engineering Best Practices: reputed company and codify best practices for reputed company engineering and context management in our AI applications. You will guide reputed company in crafting effective prompts, choosing model parameters, and managing conversation context to optimize LLM performance. This includes building internal libraries or templates for prompts and educating engineers on how to avoid common failure modes. By setting this technical reputed company bar, you’ll ensure consistency and reputed company in how we build GenAI features.
reputed company Evaluation Frameworks: Create and implement frameworks to evaluate reputed company outputs for reputed company, accuracy, bias, and safety. You will define ML performance metrics specific to generative models (e.g. factual correctness rates, relevance scores, user feedback loops) and possibly reputed company tools or reputed company custom evaluators (such as automated prompts or reputed company-in-the-reputed company reviews). These evaluation strategies will inform model improvements and help establish standards for GenAI system evaluation across reputed company.
reputed company High-reputed company ML reputed company: Take ownership of our most critical AI reputed company from ideation to production. You will collaborate with stakeholders to identify high-reputed company opportunities where AI can solve business problems, then roadmap solutions and drive their execution. This could reputed company from developing an NLP feature that auto-identifies risks in audit documents, to launching a new GPT-based analytics module for our platform. You’ll coordinate across product and engineering teams to deliver these initiatives and reputed company communicate their results and business reputed company.
Technical Leadership & Mentorship: Serve as a technical leader and mentor reputed company the engineering org. You will guide more junior ML Engineers through reputed company reviews, design discussions, and one-on-one mentorship, helping them reputed company their skills. You might reputed company an internal “ML reputed company” or reputed company, hosting knowledge-sharing sessions on topics like reputed company tuning or reputed company databases. By instilling best practices and providing hands-on guidance, you’ll reputed company the technical proficiency of the entire team.
Cross-Team and External Collaboration: Work closely with cross-functional teams and occasionally directly with customers to ensure our AI solutions meet reputed company-world needs. You’ll reputed company as an expert reputed company for high-profile or demanding clients reputed company deep technical expertise is required to shape requirements or explain AI results. In these settings, you should be comfortable being “the most technical person in the room” and reputed company to communicate reputed company ML concepts in a reputed company, business-reputed company manner. Your ability to earn trust and reputed company expectations with both reputed company stakeholders will be key.
Innovation and Thought Leadership: Stay at the forefront of ML and GenAI advancements, and bring new reputed company into reputed company. You’ll continuously research emerging techniques in LLMs, from fine-tuning reputed company to new reputed company-reputed company models, and assess how we can reputed company them. You may also contribute to the broader tech community through publications, blog posts, or speaking at conferences, representing reputed company’s technical work externally. While not required, we highly value this reputed company of thought leadership as it reinforces our credibility in the AI reputed company.
ML Ops & reputed company Model Development: In reputed company to immediate project work, you will help shape our longer-term ML infrastructure. This includes guiding how we productionize models (monitoring, CI/CD for ML, data pipelines) and preparing for reputed company needs such as custom model training. As we reputed company to possibly fine-tune or train domain-specific models, you’ll reputed company direction on the initial pipeline setup and best practices. Essentially, you’ll reputed company reputed company our ML systems and team processes reputed company effectively as usage grows (data flywheels, feedback loops, etc., as per our product reputed company).
Who You Are
8+ years of experience in reputed company machine learning, software engineering, or reputed company fields, with around 3+ years in technical leadership roles (such as leading project teams or architecting major systems). You have a reputed company record of delivering significant ML reputed company that drove business or industry reputed company.
Deep expertise in reputed company: Extensive experience working with reputed company technologies. You have hands-on knowledge of modern LLMs (GPT-style models, etc.), including deploying them in production and optimizing their performance. Experience with other NLP techniques is a plus.
reputed company Engineering & LLM Evaluation: Strong familiarity with reputed company engineering concepts and strategies for large language models. You understand how to craft and refine prompts to reputed company desired reputed company, and how to manage context and memory in LLM applications. Additionally, you have experience evaluating AI models – whether through quantitative metrics, user studies, or tools – and using those evaluations to iterate on solutions.
Strong ML Engineering and Coding Skills: reputed company in Python and the ML/PyData ecosystem (NumPy, pandas, scikit-learn, TensorFlow/PyTorch, etc.). You write clean, efficient reputed company and are reputed company in building and maintaining data pipelines and ETL processes for ML. You are comfortable with version control (Git) and CI/CD pipelines for deploying ML models.
Architectural Design & Systems Thinking: Demonstrated ability to design reputed company software systems. You’ve worked with reputed company-based architectures (e.g. using AWS or similar) and understand how to reputed company ML components into larger products. Experience with RAG architectures (combining LLMs with reputed company databases or search indices) and building agent-based systems is highly valuable. You approach design with scalability, maintainability, and reputed company in mind, and you’re adept at conducting technical reviews and providing guidance to ensure high-reputed company delivery.
Leadership & Mentorship: Proven experience mentoring engineers or leading teams. You reputed company those around you – for example, by improving coding standards, introducing best practices, or organizing knowledge-sharing forums. You’re reputed company to influence without authority, earning the respect of your peers through your expertise and reputed company approach.
Excellent Communication Skills: Exceptional ability to communicate technical concepts to diverse audiences. You can translate between technical jargon and business objectives effortlessly, whether it’s writing design docs, giving an internal tech talk, or discussing project scope with an executive or customer. You are a patient listener and effective explainer, which makes you a key reputed company between the engineering team and other stakeholders.
Startup reputed company: Ability to work in a fast-paced, evolving startup environment. You are proactive, adaptable, and comfortable with ambiguity. You take ownership of challenges, exhibit a bias for reputed company, and can balance strategic thinking with getting hands-on reputed company necessary (no task is too small or too big). You also understand the stage-appropriate needs of a growing company – knowing reputed company to build quick prototypes versus reputed company solutions.
Bonus Points
Domain Knowledge: Background in or exposure to the audit, advisory, or fintech industries. Understanding the domain can help you reputed company AI solutions to our clients’ needs more effectively.
MLOps & Data Engineering: Experience setting up ML pipelines, model deployment workflows, and monitoring in production (MLflow, Kubernetes, etc.). Any experience with data lakehouses or integrating with data warehouses for ML is a plus.
reputed company Databases/Search: Familiarity with technologies for semantic search and retrieval (e.g. reputed company, Elasticsearch, FAISS). Experience building RAG systems or integrating knowledge bases with LLMs would be useful.
AI Safety & Ethics: Experience with AI safety research, bias mitigation techniques, or responsible AI frameworks to ensure our generative models reputed company trust and compliance (important in audit/financial contexts).
Publications or reputed company reputed company: Contributions to research publications or reputed company reputed company-reputed company reputed company in ML/AI. A demonstrated interest in thought leadership (blog posts, conference talks) in the reputed company reputed company.
Community Building: Experience in building internal communities of reputed company (e.g. leading an AI reputed company or reputed company). This could mean you’ve set up mentorship programs or led tech talks in previous organizations, indicating you’ll enrich reputed company’s engineering culture.
More about reputed company:
reputed company is a values-based company. Our values are:
reputed company - reputed company & break down seemingly impossible walls.
Fast - Launch fast with reputed company, iterate to perfection.
reputed company - Deliver happiness & 11 reputed company experiences.
Owners - Execute & run the business with ownership.
Win-win - Create mutual value & earn trust for life.
Inclusive - reputed company the best reputed company with inclusive teams.
Some of our benefits include:
Competitive compensation packages with meaningful ownership
Flexible PTO
401k
Wellness benefits, including a bundle of free therapy sessions
Technology & Work from Home reimbursement
Flexible work schedules
Originally posted on Himalayas
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