machine learning research scientist / engineer, reasoning Jobs in San Francisco

machine learning research scientist / engineer, reasoning

machine learning systems engineer Jobs in San Francisco

machine learning systems engineer

principal data science/ai product manager (predictive ai/ agentic ai) Jobs in San Francisco

principal data science/ai product manager (predictive ai/ agentic ai)

senior software engineer Jobs in San Francisco

senior software engineer

senior software engineer - enterprise engineering Jobs in San Francisco

senior software engineer - enterprise engineering

machine learning engineer

Integral Ad Science

<div>Integral Ad Science (IAS) is a global technology and data company that builds verification, optimization, and analytics solutions for the advertising industry and we&rsquo;re looking for a Staff Machine Learning Engineer for our Data Science Team. If you are excited by technology that has the power to handle hundreds of thousands of transactions per second; collect tens of billions of events each day; and evaluate thousands of data points in real-time all while responding in just a few milliseconds, then IAS is the place for you!

As a Staff Machine Learning Engineer at IAS, you will be part of a team that is at the center of innovation for the company and a major contributor to our core products. You will be responsible for overseeing a sophisticated suite of data science systems making large scale business predictions in advertising inventory across open web, social networks, video/CTV, and mobile apps. As part of the data science group at IAS, you will push the boundaries of applications of machine learning (ML) and deliver best-in-class solutions for our clients. Innovation is at the heart of our competitive advantage, and innovation starts with people and culture. You will manage a group of data scientists and cultivate innovation in their work, developing high performing talent, ultimately producing a lasting impact on the IAS business.

The types of challenges we solve have attracted people from industry and academia with diverse backgrounds, ranging from ML, mathematics, physics, biology, neuroscience, and computer science to finance and economics. We&rsquo;re passionate about maintaining an open and collaborative environment, where team members bring their own unique style of thinking and tools to the table.

What you&rsquo;ll get to do:
<ul>
<li>Build large-scale deep learning infrastructure or platforms for distributed model training</li>
<li>Build large-scale distributed systems with tools such as Kubernetes, Kafka, Prometheus, etc.</li>
<li>Develop deep learning frameworks</li>
<li>Drive system design for our AI/ML-based services.</li>
<li>Design, develop and support our CI/CD pipeline for AI/ML-based services.</li>
</ul>
You should apply if you have most of this experience:
<ul>
<li>PhD/Master&rsquo;s degree in technical field such as computer science, mathematics, statistics or equivalent years of experience</li>
<li>7-10+ years machine learning experience in industry</li>
<li>Experience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks</li>
<li>Experience building large-scale deep learning infrastructure or platforms for distributed model training</li>
<li>Experience with large-scale AI training infra components, such as accelerators, network fabrics, CUDA, NCCL, RDMA</li>
<li>Strong programming skills in Python or Go; understanding of data structures, software design principles, and algorithms</li>
</ul><ul><li>Experience working with machine learning, ranking infrastructures, and system design</li>
<li>Strong understanding of machine learning approaches and algorithms</li>
<li>Able to prioritize duties and work well on your own</li>
<li>Ability to work with both internal and external partners</li>
<li>Skilled at solving open ambiguous problems</li>
<li>Strong collaboration and mentorship skills

California Applicants: The salary range for this position is $150,900 - $200,400. Actual pay may vary based on experience or geographic location.
</li>
</ul>About Integral Ad Science

Integral Ad Science (IAS) is a global leader in digital media quality. IAS makes every impression count, ensuring that ads are viewable by real people, in safe and suitable environments, activating contextual targeting, and driving supply path optimization.

Our mission is to be the global benchmark for trust and transparency in digital media quality for the world&rsquo;s leading brands, publishers, and platforms. We do this through data-driven technologies with actionable real-time signals and insight. Founded in 2009 and headquartered in New York, IAS works with thousands of top advertisers and premium publishers worldwide. 


Equal Opportunity Employer:

IAS is an equal opportunity employer, committed to our diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We strongly encourage women, people of color, members of the LGBTQIA community, people with disabilities and veterans to apply.

California Applicant Pre-Collection Notice:

We collect personal information (PI) from you in connection with your application for employment or engagement with IAS, including the following categories of PI: identifiers, personal records, commercial information, professional or employment or engagement information, non-public education records, and inferences drawn from your PI. We collect your PI for our purposes, including performing services and operations related to your potential employment or engagement. For additional details or if you have questions, contact us at compliance@integralads.com. 


Attention agency/3rd party recruiters: IAS does not accept any unsolicited resumes or candidate profiles. If you are interested in becoming an IAS recruiting partner, please send an email introducing your company to recruitingagencies@integralads.com. We will get back to you if there's interest in a partnership.

#LI-Hybrid</div>

Staff Machine Learning Engineer

Substack

<div>Substack is building a new economic engine for culture, giving the brightest, most interesting, and most creative people on the internet the power of their own publishing platform. The terms of our culture should not be set by gate-keeping legacy media or chaos-fueling social media, but by the people who make and participate in that culture. Substack's model, based on direct subscriptions, has fueled an explosion of independent publishing. It empowers creators with economic autonomy, creative ownership, and a direct connection to their most engaged audiences.
As a Systems Engineer on Substack's ML Team, you will be responsible for building and maintaining the infrastructure that powers our machine learning capabilities. You will focus on the systems, pipelines, and platforms that enable our ML team to develop, deploy, and scale machine learning solutions effectively. This role offers an exciting opportunity to architect the foundational ML infrastructure that will support Substack's growing AI/ML initiatives.
Responsibilities<ul><li>
Design and build scalable ML infrastructure including model serving systems, feature stores, and training pipelines</li><li>
Develop and maintain robust data pipelines for ML workflows, from data ingestion to model deployment</li><li>
Implement MLOps best practices including CI/CD for ML models, monitoring, and automated retraining pipelines</li><li>
Build and optimize model serving infrastructure to support real-time and batch inference at scale</li><li>
Collaborate with ML engineers and data scientists to understand infrastructure requirements and translate them into reliable systems</li><li>
Monitor and optimize ML system performance, reliability, and cost efficiency</li><li>
Establish infrastructure standards and tooling to accelerate ML development workflows</li><li>
Own the deployment and operational aspects of ML models in production</li></ul>
Requirements<ul><li>
5+ years of relevant experience building and maintaining data/ML infrastructure systems</li><li>
Strong programming skills in Python or TypeScript and experience with infrastructure-as-code tools</li><li>
Experience with ML infrastructure components such as feature stores, model registries, and serving systems</li><li>
Solid understanding of distributed systems, containerization (Docker/Kubernetes), and cloud platforms</li><li>
Experience with data pipeline orchestration tools (e.g., Airflow, Prefect, or similar)</li><li>
Independent and autonomous. We're too small to micromanage, and expect that every person at the company owns their work and can be a leader</li><li>
Hold yourself and others to a high standard when working on production systems</li><li>
Enjoy collaboration with a diverse group of stakeholders while bringing your own unique experience and background to the team</li></ul>
Nice to have<ul><li>
Experience with ML serving frameworks (e.g., TensorFlow Serving, MLflow, Ray Serve)</li><li>
Knowledge of monitoring and observability tools for ML systems</li><li>
Experience with cloud ML platforms (AWS SageMaker, Modal, or similar)</li><li>
Understanding of ML model lifecycle management and MLOps practices</li><li>
Experience with consumer web applications at scale</li><li>
Familiarity with ML frameworks like PyTorch and Tensorflow</li><li>
Familiarity with JavaScript/TypeScript</li></ul>
Substack&rsquo;s compensation package includes a market-competitive salary, equity, and exceptional benefits. Our cash compensation salary range for this role is $200,00-250,000. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.
Substack is an equal opportunity employer. All applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, gender identity or transgender status), age, national origin, veteran or disability status. We&rsquo;re seeking people passionate about enabling independent expression and building a better business model for creators. If you want to see what media, communities, and content can become when unmoored from advertising models, and you have the skills and experience to contribute, we&rsquo;d love to meet you.
Please see our Privacy Notice for details regarding Substack's collection and use of personal information relating to the application and recruitment process by clicking here.</div>

Machine Learning Systems Engineer

Google

<div>Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA; San Francisco, CA, USA.<h3 class="jobSectionHeader">
Minimum qualifications:</h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience. 
</li>
<li>2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 
</li>
<li>1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 
</li>
<li>1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Master's degree or PhD in Computer Science or related technical fields. 
</li>
<li>2 years of experience with data structures or algorithms.</li>
<li>Experience developing accessible technologies. 
</li>
<li><div>Experience with Android development.</div></li>
<li><div>Experience with Natural Language Processing (NLP) concepts or techniques.</div></li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world. 
The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Write product or system development code. 
</li>
<li>Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,) 
</li>
<li>Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. 
</li>
<li>Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. 
</li>
<li>Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing. 
</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Software Engineer III, AI/ML, Platforms and Devices

Jerry

<div>
 
 👋 Hi there! Just graduated with a computer science/engineering degree and looking for your next challenge? If you're looking to make a real-world impact fast while leveling up your skills in a high-growth startup, we might be the right place for you!
 
 
 
 
 
 
 🚗 Why join Jerry?
 
 
 
 We&rsquo;re Jerry, and we&rsquo;re building the first AI-powered AllCar&trade; app to completely rethink what it means to own a car. Car insurance, maintenance, repairs, financing&mdash;we&rsquo;re simplifying it all into one seamless mobile experience. Our users already save over $1,000/year with us, and we&rsquo;ve grown revenue 60x in the last 5 years.
 
 
 Now we&rsquo;re scaling from 5M to 50M users, and we need sharp, curious engineers to help us get there.
 
 
 
 
 
 🌟
 
 Here&rsquo;s what you&rsquo;ll get:
 
 
 
 ✅ Impact from Day One &mdash; you&rsquo;ll be writing production code within your first few weeks.
 
 
 ✅ Backed and booming &mdash; we&rsquo;ve raised $240M+ and are cash-flow positive.
 
 
 ✅ Modern tech stack &mdash; React, Node, Python, AWS, TypeScript, and more.
 
 
 ✅ Mentorship + learning &mdash; work with top engineers from companies like Nvidia, TikTok, and Cepton.
 
 
 ✅ Merit-based growth &mdash; no seniority theater here. You grow fast if you deliver and learn fast.
 
 
 
 
 
 🫵
 
 What you&rsquo;ll be working on
 
 
 
 You&rsquo;ll join one of our engineering pods (core app, retention, automation) depending on your interests and skills. Every team ships regularly, works closely with product, and contributes to a mission that matters.
 
 
 We don&rsquo;t expect you to know everything on day one, but we do expect:
 
 <ul>
 <li>
 A love for learning
 </li>
 <li>
 Comfort with ambiguity
 </li>
 <li>
 Hustle and curiosity
 </li>
 <li>
 Pride in building high-quality, user-first software
 </li>
 </ul>
 
 
 
 
 
 💻 Our stack:
 
 
 <ul>
 <li>
 Frontend: React, React Native
 </li>
 <li>
 Backend: NodeJS + TypeScript
 </li>
 <li>
 Infra: AWS, Go, Python, Docker, CI/CD
 </li>
 <li>
 Data: Redis, Postgres, DynamoDB, Clickhouse
 </li>
 <li>
 AI/ML: Python pipelines, LLM integrations, internal models
 </li>
 </ul>
 
 You don&rsquo;t need to know it all&mdash;but if some of that excites you, let&rsquo;s talk.
 
 
 
 
 
 🚀
 
 What we&rsquo;re looking for:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field (or graduating soon)
 </li>
 <li>
 Internship, co-op, or side project experience is a plus&mdash;but not required
 </li>
 <li>
 Eagerness to learn, build, and grow
 </li>
 </ul>
</div>

Software Engineer (entry)

Cambio AI Inc.

<div>Cambio is a software platform that enables world-class real estate decarbonization. We help commercial real estate owners and tenants bring their real estate portfolios to net-zero using a machine learning-driven, end-to-end real estate sustainability platform. Our mission is to take the real estate industry into the climate action era.
We are proud to be the fastest growing startup in our category, with world-class partners and investors including Y Combinator, Google, the U.S. Department of Energy, Stanford University and Fifth Wall. We are seeking team members who are passionate about building transformative products, enthusiastic about problem-solving, and excited to work at the forefront of climate and real estate technology. Join us on our mission to achieve net zero by 2050.
The Role
As a Building Engineer at Cambio, you will play a critical role in collaborating with our customers to implement their net-zero strategy for building sustainability. You will work alongside our Data Science team and our decarbonization machine learning models to analyze and implement best-in-class, energy-saving retrofit recommendations at our customers&rsquo; properties. Your expertise in building science and engineering will not only help ensure that our model-recommended solutions are practical, effective, and aligned with industry standards but also push forward the capabilities of our automated decarbonization platform.
What You Will Be Doing<ul><li>
Building Retrofit Analytics: Apply Cambio&rsquo;s best-in-class ML models to generate energy conservation measures at hyper-scale for our real-estate customer</li><li>
Customer Collaboration: Work closely with commercial real estate owners to understand their needs and develop their path to net zero across their portfolios.</li><li>
Compliance and Regulatory Analysis: Assist in delivering retrofit projects which comply with local, state, and federal regulations and help improve Cambio&rsquo;s automated regulatory analytics.</li><li>
Performance Monitoring: Monitor the performance of retrofitted buildings and help analyze pre- and post-retrofit energy outcomes, cost savings, and carbon impact to further improve Cambio&rsquo;s impact for customers.</li><li>
Data Science Collaboration: Work alongside our Data Science team to expand and refine the physics-based building science models underlying the Cambio decarbonization platform, e.g., by integrating data from building science datasets to improve the accuracy and effectiveness of model retrofit recommendations.</li></ul>
Impact
In this role, you will achieve the following key accomplishments in your first 12-18 months:<ul><li>
Successfully help our customers implement retrofit projects that significantly reduce energy consumption and carbon emissions across their portfolios.</li><li>
Establish strong relationships with top real estate investor customers, serving as a trusted advisor as they deploy capital assets to decarbonize commercial real estate.</li><li>
Improve Cambio&rsquo;s machine learning models by applying building engineering expertise to enhance model effectiveness.</li><li>
Contribute to the development of best practices and standards for building decarbonization within Cambio.</li><li>
Provide insights and feedback to our product and engineering teams to continuously improve our platform.</li></ul>
Qualifications<ul><li>
Educational Background: Bachelor&rsquo;s degree in Building Science, Engineering, or a related field. Professional Engineer (P. Eng or P.E.) designation strongly preferred.</li><li>
Experience: 5+ years of experience in building engineering, with a focus on retrofit projects and energy efficiency. Experience signing &amp; sealing projects as engineer of record (EOR) strongly preferred.</li><li>
Technical Skills: Proficiency in building systems analysis and construction implementation, including systems design, site evaluation, energy modeling, and cost estimation.</li><li>
Analytical Ability: Outstanding analytical skills with the ability to interpret complex data from various sources and make data-driven recommendations.</li><li>
Project Management: Proven experience in managing retrofit projects from conception to completion.</li><li>
Regulatory Knowledge: In-depth knowledge of building codes, standards, and regulations related to energy efficiency and decarbonization.</li><li>
Communication Skills: Excellent written and verbal communication skills, with the ability to convey technical information to non-technical stakeholders.</li><li>
Team Collaboration: Enthusiastically works collaboratively with cross-functional teams, including product, engineering, and customer success.</li></ul>
Logistics:<ul><li>
Work Authorization: Authorization to work in the United States or Canada is required.</li><li>
Location: This will be a hybrid role, and we generally hire out of 3 hubs: San Francisco, New York and Toronto. Being located in or near one of these cities is highly preferred.</li><li>
Compensation: This role is currently set at a salary range of ~$140,000-170,000.</li></ul>
What We Offer
We are a lean, growing, and high-performing team that works hard and is passionate about the climate problems we&rsquo;re working on. At Cambio we promise:<ul><li>
Fast-growing startup experience: You will be responsible for foundational work that will have a significant impact on decarbonizing the commercial real estate industry.</li><li>
Competitive compensation and founding startup equity.</li><li>
Work with the best: Our team members come from top organizations in their sectors, including OMERS, Goldman Sachs, Faire, One Medical, Google, and Bain.</li></ul>
If you thrive on delivering exceptional results to highly qualified customers to have a disproportionate impact on the real estate industry&rsquo;s path to net zero, we invite you to join our team as a Building Engineer at Cambio. Apply now to embark on this journey with us.</div>

Building Engineer

Scale AI

<div>About Scale

At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, fueling the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're amplifying access to high-quality data to drive progress toward Artificial General Intelligence (AGI). Building on our history of model evaluation with enterprise and government customers, we are expanding our capabilities to set new standards for both public and private evaluations.

About This Role

This role operates at the forefront of AI research and real-world implementation, with a strong focus on reasoning within large language models (LLMs). The ideal candidate will study the data types critical for advancing LLM-based agents, including browser and software engineering (SWE) agents. You will play a key role in shaping Scale's data strategy by identifying the most effective data sources and methodologies for improving LLM reasoning. Success in this role requires a deep understanding of LLMs, planning algorithms, and novel approaches to agentic reasoning, as well as creativity in tackling challenges related to data generation, model interaction, and evaluation. You will contribute to impactful research on language model reasoning, collaborate with external researchers, and work closely with engineering teams to bring state-of-the-art advancements into scalable, real-world solutions.

Ideally, you'd have:
<ul>
<li>Practical experience working with LLMs, with proficiency in frameworks like PyTorch, JAX, or TensorFlow. You should also be skilled at rapidly interpreting research literature and turning new ideas into working prototypes.
</li>
<li>A track record of published research in top ML and NLP venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, CoLLM, etc.).
</li>
<li>At least three years of experience solving complex ML challenges, either in a research setting or product development, particularly in areas related to LLM capabilities and reasoning.
</li>
<li>Strong written and verbal communication skills, along with the ability to work effectively across teams.
</li>
</ul>Nice to have:
<ul>
<li>Hands-on experience fine-tuning open-source LLMs or leading bespoke LLM fine-tuning projects using PyTorch/JAX.
</li>
<li>Research and practical experience in building applications and evaluations related to LLM-based agents, including tool-use, text-to-SQL, browser agents, coding agents, and GUI agents.
</li>
<li>Experience with agent frameworks such as OpenHands, Swarm, LangGraph, or similar.
</li>
<li>Familiarity with advanced agentic reasoning techniques such as STaR and PLANSEARCH.
</li>
<li>Proficiency in cloud-based ML development, with experience in AWS or GCP environments.
</li>
</ul>Our research interviews are designed to assess candidates' ability to prototype and debug ML models, their depth of understanding in research concepts, and their alignment with our organizational culture. We do not conduct LeetCode-style problem-solving assessments.<div>
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.</div></div>

Machine Learning Research Scientist / Engineer, Reasoning

Decagon

<div>
 
 About Decagon
 
 
 
 Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.
 
 
 Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.
 
 
 We&rsquo;re an in-office company, driven by a shared commitment to excellence and velocity. Our values&mdash;
 
 customers are everything
 
 ,
 
 relentless momentum
 
 ,
 
 winner&rsquo;s mindset
 
 , and
 
 stronger together
 
 &mdash;shape how we work and grow as a team.
 
 
 
 About The Team
 
 
 
 The Agent Engineering team at Decagon deploys mission-critical AI agents to our customers that impact millions of users and directly drive Decagon&rsquo;s growth. You will build on our industry-leading AI agent platform, collaborate directly with customers and use your own creativity to devise long-term, scalable solutions.
 
 
 Our mission is to deliver magical support experiences &mdash; AI agents working alongside human agents to help users resolve their issues.
 
 
 
 About The Role
 
 
 
 On the Agent Engineering team, you&rsquo;ll have complete ownership and autonomy in building and shipping best-in-class AI agents, from initial implementation through continuous iteration. You&rsquo;ll work directly with leaders across industries like finance, healthcare, and hospitality, solving their users&rsquo; needs with reliable and intuitive AI agents.
 
 
 Engineers here own their work end-to-end and are trusted to make a real impact. This role is for someone who dives deep into complex system challenges and builds elegant solutions that scale to millions of users.
 
 
 This role is designed for candidates graduating between December 2025&ndash;July 2026. We are an in-person company based in San Francisco and New York.
 
 
 
 In this role, you will
 
 
 
 <ul>
 <li>
 Design and build AI agents that outperform human agents in managing complex customer interactions and driving customer retention
 </li>
 <li>
 Identify cross-customer trends that guide the evolution of Decagon&rsquo;s agent building platform and research efforts
 </li>
 <li>
 Experiment with and run evaluations on the latest text and voice models, then integrate them at scale with large enterprise-grade customers
 
 
 </li>
 </ul>
 
 Your background looks something like this
 
 
 
 <ul>
 <li>
 Pursuing or completing a B.S. (or higher) in Computer Science or a related technical field
 </li>
 <li>
 Proficiency with Python, Typescript, and asynchronous programming
 </li>
 <li>
 Track record of building and shipping high-quality products and features through coursework, internships, or personal projects
 </li>
 <li>
 Excitement to thrive in a fast-paced environment, continuously learn, and sharpen your skills
 
 
 </li>
 </ul>
 
 Even better
 
 
 
 <ul>
 <li>
 Prior experience working with multi-modal models
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Medical, dental, and vision benefits
 </li>
 <li>
 Take what you need vacation policy
 </li>
 <li>
 Daily lunches, dinners, and snacks in the office to keep you at your best
 
 
 </li>
 </ul>
 
 Compensation
 
 
 
 $180K + Offers Equity
 
 
 Compensation Range: $180K
 
 
</div>

Agent Software Engineer - New Grad (2026 Start)

Explore 100+ Machine learning engineer in San Francisco this September. Find roles across top companies and apply now to boost your career.