Founding Head of Engineering

PoesisSan Francisco

Hybrid Full-time

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Experience Level

Mid to Senior

Qualifications

ResponsibilitiesLead the design and implementation of Poesis’ initial engineering systems, including data ingestion, model orchestration, and product development. Serve as the product manager, defining workflows, release criteria, and usability standards in conjunction with leadership. Develop reproducible pipelines and lightweight interfaces (CLI, dashboards, GUIs) for internal users and investor presentations. Facilitate integration with various professional financial data sources (e.g., CapIQ, Bloomberg, FactSet, Refinitiv). Establish best practices for team operations, including sprint cadence, release processes, version control, and documentation. Mentor and guide future engineering hires as the team expands. Required Competencies6 to 10+ years of software engineering experience, including roles as a senior or staff individual contributor. Proven experience in developing data-intensive or quantitative systems from the ground up. Strong skills in systems design and API/interface definition. Fluency in Python and contemporary data tools (pandas/numpy, SQL, orchestration frameworks). Demonstrated success in transforming research or analytics into functional tools (dashboards, etc.).

About the job

About Poesis
Poesis is an innovative AI-driven investment management firm that is redefining the foundational model for investing in U. S. equities. Our mission is to construct modular AI systems that predict market fluctuations and outpace traditional managers. This role involves engaging in cutting-edge research with immediate applicability in the financial markets. Your contributions will significantly influence investment strategies and enhance portfolio outcomes.

Location & Workstyle
Located in the San Francisco Bay Area, close to Stanford University, we offer a Hybrid work environment requiring several days of on-site presence each week.

Relocation assistance is available.

About the Role

As we develop a machine learning-driven hedge fund focused on transforming trading decision-making, we are seeking our Founding Head of Engineering. This pivotal role marks the first engineering hire, responsible for shaping our technical architecture, establishing the initial system, and operating as both an individual contributor and product owner. You will collaborate closely with our CEO and Chief Scientist to develop the technical foundation of our fund.

Your responsibilities will include designing and delivering the initial demonstrable workflows, integrating with financial data providers, constructing reproducible pipelines, and creating a user-friendly interface suitable for decision-makers and investors. As the company evolves, you will also play a key role in recruiting engineers and data scientists.

About Poesis

Poesis is at the forefront of AI-native investment management, leading the charge in creating innovative systems that revolutionize the investment landscape. Our commitment to pioneering research ensures that our solutions are not only cutting-edge but also deliver immediate benefits in the financial sector.

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Founding Machine Learning Engineer at Poesis | San Francisco

Poesis

Full-time|Hybrid|San Francisco

About PoesisPoesis is a pioneering AI-native investment manager that is transforming the landscape of U.S. equities through innovative foundation models. We are developing cutting-edge AI systems designed to predict market trends and exceed the performance of traditional investment managers. This exciting work represents frontier research that is validated i…

Oct 13, 2025

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Founding Quant Developer at Poesis | San Francisco

Poesis

Full-time|Hybrid|San Francisco

About PoesisPoesis is an innovative AI-native investment management firm, leading the charge in developing a pioneering foundation model for investing in U.S. equities. We are crafting modular AI systems designed to predict market fluctuations and surpass traditional managers. This role involves engaging in cutting-edge research that yields immediate, real-world validation. Your contributions will play a crucial role in shaping investment strategies and enhancing portfolio outcomes.Location & WorkstyleBased in the San Francisco Bay Area (close to Stanford), this position is Hybrid: requiring several days on-site each week.Relocation assistance is available.About the RoleAt Poesis, we are establishing a machine learning-driven hedge fund focused on innovative trading strategies. We are seeking a Founding Quant Developer to transform research concepts into production-grade software. Collaborating closely with the Head of Engineering and Chief Scientist, you will develop data pipelines, implement models, and guarantee that results are clean, reproducible, and transparent.This role is highly hands-on and offers a steep learning curve, making it perfect for individuals with robust technical skills who are eager to gain experience in both engineering and quantitative finance within a startup environment. Expect strong guidance from Poesis’ Chief Scientist and CEO, as you will be accountable for converting their research ideas and specifications into thoroughly tested, production-ready code.

Oct 13, 2025

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Founding Engineer at Abacus | San Francisco

Amari AI

Full-time|On-site|San Francisco

About AbacusAt Abacus, we are revolutionizing the operations of accounting firms through innovative AI agents that automate the monotonous and repetitive tasks currently faced by teams. Our cutting-edge core engine integrates advanced Optical Character Recognition (OCR) and Large Language Models (LLMs) to provide genuinely intelligent back-office automation solutions. We have already established partnerships with significant enterprise clients, generating substantial revenue, and are proudly supported by leading investors. Having achieved this milestone as a compact team of two, we are eager to expand our workforce. If you are passionate about shaping the future of AI-driven operations and are ready to take on impactful technical challenges from the outset, this is your opportunity.The RoleWe are seeking our inaugural Founding Engineer to take charge of and enhance the core machine learning engine that powers Abacus. Reporting directly to the co-founders, you will work on-site from our San Francisco office. This is a unique chance to join a rapidly growing company as an early engineer, endowed with significant autonomy and influence over both product and technical direction.In your first 3–6 months, you will:Enhance and scale our ML extraction engine utilizing LLMs and OCR technologies.Take ownership of backend architecture and infrastructure decisions.Develop and launch innovative features that broaden the scope of automated workflows.In the following year, you will play a pivotal role in establishing the foundation of our engineering organization as we scale, while remaining hands-on and focused on delivering impactful results.What You’ll DoLead the development of our machine learning-driven document extraction engine.Architect backend systems with an emphasis on performance and scalability.Create and deploy new automation features tailored for tax firms.Work closely with the founders to align on product and user requirements.Contribute to defining our engineering culture and establishing the technical roadmap.What We're Looking ForEssential Qualifications:1–5 years of experience, preferably in environments with high ownership or early-stage ventures.Proficient backend development skills, especially in Python.Demonstrated ability as a 0→1 builder, whether through side projects, startup experience, or both.Commitment to work from our SF office, five days a week.Willingness to complete a technical assessment as part of the application process.

Dec 1, 2025

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Founding Machine Learning Engineer

Effective AI

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Jan 16, 2026

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Founding Engineer in AI/ML at Pax Historia | San Francisco

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Founding Head of Engineering

Poesis

Full-time|Hybrid|San Francisco

About PoesisPoesis is an innovative AI-driven investment management firm that is redefining the foundational model for investing in U.S. equities. Our mission is to construct modular AI systems that predict market fluctuations and outpace traditional managers. This role involves engaging in cutting-edge research with immediate applicability in the financial markets. Your contributions will significantly influence investment strategies and enhance portfolio outcomes.Location & WorkstyleLocated in the San Francisco Bay Area, close to Stanford University, we offer a Hybrid work environment requiring several days of on-site presence each week.Relocation assistance is available.About the RoleAs we develop a machine learning-driven hedge fund focused on transforming trading decision-making, we are seeking our Founding Head of Engineering. This pivotal role marks the first engineering hire, responsible for shaping our technical architecture, establishing the initial system, and operating as both an individual contributor and product owner. You will collaborate closely with our CEO and Chief Scientist to develop the technical foundation of our fund.Your responsibilities will include designing and delivering the initial demonstrable workflows, integrating with financial data providers, constructing reproducible pipelines, and creating a user-friendly interface suitable for decision-makers and investors. As the company evolves, you will also play a key role in recruiting engineers and data scientists.

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Machine Learning Engineer at Lightfield | San Francisco

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Oct 10, 2024

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Machine Learning Engineer at recruyt | San Francisco

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Full-time|On-site|San Francisco

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Machine Learning Engineer at Onyx | San Francisco

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Full-time|On-site|San Francisco

About the RoleJoin Onyx, an esteemed open-source project that has captivated hundreds of thousands of users. With over 10,000 stars and a vibrant community of over 3,000 members on platforms like Slack and Discord, your contributions could impact millions in the future. Your ImpactAs a Machine Learning Engineer at Onyx, you will play a pivotal role in enhancing our knowledge layer on top of Large Language Models (LLMs). You will tackle complex challenges such as multi-hop question answering, needle-in-haystack retrieval, and advanced Retrieval-Augmented Generation (RAG) techniques. Key ResponsibilitiesDesign and implement knowledge graphs based on LLMs, exploring advanced RAG methods and cutting-edge information retrieval algorithms.Enhance user experience through innovative features like feedback learning, personalized search, and Subject Matter Expert (SME) suggestions.Develop a semantic understanding of organizational priorities to improve Onyx's answering capabilities.Manage projects from initial conception through validation to production deployment.Collaborate closely with our Founders and Head of AI to shape product direction and contribute to our AI/ML strategy. Success Criteria3+ years of experience in AI/ML engineering, focusing on real-world applications.In-depth expertise with PyTorch/TensorFlow, natural language processing (NLP) models, and standard machine learning algorithms.Stay current with advancements in open-source and proprietary LLMs, RAG, and agent frameworks.Strong software engineering skills, capable of building backend features using web frameworks, ORMs, and relational databases.Excellent communication skills, with the ability to collaborate effectively across teams.⭐ Bonus SkillsFamiliarity with full-stack technologies, including TypeScript, React, Next.js, Python, and PostgreSQL.Passion for writing technical blogs to position Onyx as a leader in the field.

Apr 21, 2025

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Machine Learning Engineer at Apiphany | San Francisco

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About ApiphanyApiphany is an innovative AI company dedicated to advancing physical product development. We empower global leaders in industries such as automotive, aerospace, medtech, and energy to convert vast amounts of unstructured technical data into immediate, actionable insights. Supported by elite investors including Markforged, Databricks, GM, and Character, our mission is to transform engineering decision-making, simplifying complexity for the world's premier manufacturers.Our models are meticulously crafted to address the unique challenges of engineering and manufacturing. They are designed to comprehend principles of physics, design specifications, and program constraints. Our team is a select group of experts from prestigious institutions like Stanford, Berkeley, MIT, UW, and CMU, alongside veterans from GM, Ford, and Genesis Therapeutics. We are committed to redefining hard-tech and constructing a category-defining enterprise together.About the RoleAs a Machine Learning Engineer at Apiphany, you will architect and deploy cutting-edge machine learning models to address some of the most intricate challenges within the physical domain. You will create systems capable of reasoning with complex engineering data, developing AI that grasps physics, design limitations, and real-world performance trade-offs.This role is tailored for innovators eager to expand the horizons of AI applications in the tangible world.

Oct 25, 2025

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Machine Learning Engineer for Assessments at Speak | San Francisco

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Full-time|On-site|San Francisco

Join Our Team as a Machine Learning Engineer for AssessmentsAt Speak, we're on a mission to transform the language learning experience.Learning a new language has the power to enrich lives, facilitating connections with diverse cultures, career opportunities, and communities. With two billion people worldwide engaged in language studies, the traditional one-on-one tutoring approach remains challenging to scale and has seen little innovation over the years. Speak is revolutionizing this space by offering an AI-powered, human-like tutoring experience that prioritizes conversation. Our platform allows learners to practice speaking, receive instant feedback, and progress through expertly crafted lessons, ensuring a seamless journey from beginner to confident speaker in multiple languages.Since our inception in South Korea in 2019, Speak has rapidly ascended to become the leading language learning app, serving learners across various markets with 15+ languages. Backed by over $150 million in venture funding from prominent investors such as OpenAI, Accel, and Khosla Ventures, our distributed team spans San Francisco, Seoul, Tokyo, Taipei, and Ljubljana.About the RoleWe are seeking a talented Machine Learning Engineer for Assessments to spearhead the development of top-tier assessment systems across our diverse product lines, including Speak for Business and B2C offerings. You will collaborate closely with our Assessment Design Lead, along with teams in Machine Learning, Product, and Engineering, to translate assessment frameworks and rubrics into robust, scalable scoring and feedback systems.This role will encompass the implementation, deployment, and continual enhancement of our assessment algorithms and ML systems. While immediate focus will be on refining and expanding current assessments, the work will also contribute to a foundational capability that can be leveraged across our platform.Your ResponsibilitiesLead the development of assessment ML systems end-to-endDesign, deploy, and maintain scoring models and pipelines (feature extraction, model training, inference, feedback generation).Oversee monitoring, regression tests, and iterative improvements to ensure accuracy standards are met.Establish and implement evaluation frameworksCreate validation and evaluation structures for assessments, incorporating metrics, test sets, and both offline and online analyses.Convert assessment needs into quantifiable acceptance criteria and safeguards.

Apr 8, 2026

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Machine Learning Engineer at Mercor | San Francisco

Mercor

Full-time|On-site|San Francisco

About MercorMercor operates at the dynamic intersection of labor markets and artificial intelligence research. By collaborating with top-tier AI laboratories and enterprises, we provide the vital human intelligence needed for AI development.Our extensive network of over 30,000 experts trains cutting-edge AI models in a manner akin to educators nurturing students: through the exchange of knowledge, experience, and contextual insights that cannot be encoded. Collectively, our experts generate over $2 million in earnings each day.At Mercor, we're pioneering a new category of work where expertise fuels AI progression. This ambitious endeavor requires a fast-paced, dedicated team. You’ll collaborate with leading researchers, operators, and AI companies at the forefront of systems that are transforming society.As a profitable Series C company valued at $10 billion, we operate in-person five days a week at our state-of-the-art headquarters in San Francisco.

Oct 15, 2025

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Machine Learning Engineer at Osaro | San Francisco

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Full-time|On-site|San Francisco

Join our innovative team at Osaro as a Machine Learning Engineer, where you will contribute to advancing the intelligence and capabilities of our robotic systems. Our cutting-edge products integrate advanced perception algorithms with adaptive decision-making and meticulous control strategies, empowering industrial robots to operate autonomously and efficiently across diverse applications.In this role, you will collaborate closely with our robotics, deployment, and sales teams to identify client requirements and design tailored machine learning solutions. You'll be responsible for monitoring, training, and validating the performance of our deep learning models, ensuring they meet our quality standards.We seek individuals who are not only passionate about their work but also take ownership of their projects and enjoy tackling new challenges. The ideal candidate is one who values teamwork and embodies integrity and directness in their communication.

Jan 23, 2025

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