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Waymo

<div><div>Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver&mdash;The World's Most Experienced Driver&trade;&mdash;to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo&rsquo;s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.</div>
Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you&rsquo;re a software engineer or researcher who&rsquo;s curious and passionate about Level 4 autonomous driving, we'd like to meet you.

The Sensor Foundations Team&rsquo;s purpose is to provide cleaned-up sensor data through highly optimized APIs to Perception models, to abstract sensor hardware differences where possible, and to provide low-level Perception signals either through algorithms or machine learning. Projects on our team typically require a diverse skill set, including robotics, system integration, code optimization, and machine learning. We have a good understanding of the hardware (both sensors and compute) and the overall Perception system. For this role, we are looking for a strong Software Engineer with robotics and machine learning experience, who will help us to accelerate the transition of low-level Perception tasks from algorithms to machine learning.

This role follows a hybrid work schedule and reports to the Technical Lead Manager of the Sensor Foundations Team.

You will:
<ul>
<li>Transition low-level Perception tasks from algorithms to machine learning</li>
<li>Work on system integration and optimization</li>
<li>Evaluate task-level and system-level quality, developing new metrics as needed</li>
</ul>
You have:
<ul>
<li>Bachelors in Computer Science, Software Engineering, Robotics, or similar technical field of study</li>
<li>5+ years of industry experience</li>
<li>Strong C/C++ skills</li>
<li>Proficiency with Python</li>
<li>Experience with Computer Vision and Machine Learning</li>
<li>Experience with System Integration</li>
</ul>
We prefer:
<ul>
<li>Masters or PhD Degree in Computer Science, Robotics, Machine Learning, or a similar discipline</li>
<li>Experience with sensor data processing (Lidar, camera, or radar)</li>
<li>Experience in the AV industry</li>
</ul><div><div>
<div>The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo&rsquo;s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
</div>
<div>Salary Range</div>
<div>$204,000&mdash;$259,000 USD</div></div></div></div>

Senior Software Engineer, Robotics

<div>
 Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver&mdash;The World's Most Experienced Driver&trade;&mdash;to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo&rsquo;s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
 
 
 The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation.
 
 
 In this hybrid role, you will report to a Senior Research Scientist.
 
 
 
 You Will
 
 
 
 <ul>
 <li>
 Participate in Waymo&rsquo;s foundation model post-training and evaluation
 </li>
 <li>
 Develop cutting edge RL and Distillation techniques for Autonomous Vehicle Trajectory Planning
 </li>
 <li>
 Integrate emerging research from the broader AI community into Waymo&rsquo;s internal infrastructure, conducting rigorous ablations to identify and scale the most promising methods
 </li>
 <li>
 Collaborate with other teams to share techniques developed in the AI Foundations teams to other teams at Waymo
 </li>
 <li>
 Integrate Waymo&rsquo;s multimodal models into simulators of different levels of fidelity
 
 
 </li>
 </ul>
 
 You Have
 
 
 
 <ul>
 <li>
 Bachelor degree in Computer Science, similar technical field of study, or equivalent practical experience
 </li>
 <li>
 Proficiency in writing and debugging python/numpy-style code
 </li>
 <li>
 A willingness to work with complexity of globally distributed inference infrastructure
 
 
 </li>
 </ul>
 
 We Prefer
 
 
 
 <ul>
 <li>
 Experience with large scale (many-machine) training infrastructure and techniques for inference with large models such as model sharding/tensor-parallel
 </li>
 <li>
 Reinforcement Learning infrastructure experience
 </li>
 <li>
 Large scale distributed inference experience
 
 
 </li>
 </ul>
 The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
 
 
 Waymo employees are also eligible to participate in Waymo&rsquo;s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
 
 
 Salary Range
 
 
 $204,000&mdash;$259,000 USD
</div>

Software Engineer, Machine Learning

Oscar Health

<div>Hi, we're Oscar. We're hiring a Senior Data Scientist to join our Data team.

Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves&mdash;one that behaves like a doctor in the family.

About the role:

The Senior Data Scientist, Advanced Risk Modeling, is a senior individual contributor role focused on utilizing advanced machine learning (ML) and artificial intelligence (AI) methodologies on modern ML platforms. This role will build and deploy sophisticated models to help solve complex business problems specifically within Oscar's risk adjustment domain.

You will report into the Director of Data.

Work Location: This is a remote position, open to candidates who reside in: San Francisco, CA. You will be fully remote; however, our approach to work may adapt over time. Future models could potentially involve a hybrid presence at the hub office associated with your metro area. #LI-Remote

Pay Transparency: The base pay for this role is: $158,400- $207,900 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses.

Responsibilities:
<ul>
<li>Conduct in-depth data analysis and advanced feature engineering using large, complex healthcare datasets to create robust predictors.
</li>
<li>Design, develop, and validate advanced ML/AI models (e.g., regression/classification, deep learning, NLP, gradient boosting, LLM experimentations) to solve complex clinical and business problems within the risk adjustment domain.
</li>
<li>Leverage modern ML Ops platforms (e.g., Vertex AI) and data science best practices to efficiently train, test, deploy, and maintain production-level models.
</li>
<li>Build and maintain the supporting data systems, analytics, and monitoring infrastructure required for complex, production-level AI/ML systems.
</li>
<li>Research, develop, and evaluate new AI applications using cutting-edge techniques, including LLM models and agentic frameworks, to solve critical business challenges in risk adjustment.
</li>
<li>Work closely with business stakeholders, engineering teams, and product managers to gain a deep understanding of business operations and technical systems.
</li>
<li>Build strong partnerships to foster close, effective integrations between data science, engineering, product, and business units.
</li>
<li>Partner with leaders to identify high-impact opportunities, translate complex business challenges into data science solutions, and ensure successful model implementation within business workflows.
</li>
</ul>Requirements:
<ul>
<li>4+ years of industry or other quantitative technical fields (which may include academia).
</li>
<li>3+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data
</li>
<li>3+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing
</li>
</ul>Bonus points:
<ul>
<li>Advanced degree in a quantitative or technical field
</li>
<li>Experience in the healthcare, finance and/or insurance industries
</li>
</ul><div>This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here.

At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care - an experience made whole by our unique backgrounds and perspectives.

Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements.

Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts.

Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known.

California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.</div></div>

Senior Data Scientist, Advanced Risk Modeling

daydream

<div>
 
 About Daydream
 
 
 
 
 
 daydream builds growth marketing playbooks for the world&rsquo;s fastest growing companies.
 
 
 
 
 
 Note: This role requires candidates to be in-person, in-office 3 days per week in our Hayes Valley, San Francisco office.
 
 
 
 We believe the future of growth marketing is one where companies pay for outcomes, rather than tools. Today, we leverage a combination of AI-enabled services + software to execute SEO growth playbooks for companies like Clay, Descript, and Beacons and dozens of others. In the future, we'll expand our capabilities across the entire growth marketing stack, encompassing all essential customer acquisition channels.
 
 
 We've raised $6.2M from leading investors like First Round Capital, Basis Set Ventures, WndrCo, SOMA Capital and current and former Heads of Growth at companies like Notion, Airtable, Webflow and Dropbox as well as notable angels like Lenny Rachitsky and Eli Schwartz, Author of Product-Led SEO.
 
 
 🔧 The problem we&rsquo;re trying to solve
 
 
 Every company needs to do two things:
 
 
 <ul>
 <li>
 Build a product.
 </li>
 <li>
 Acquire customers.
 
 
 </li>
 </ul>
 There are three ways to acquire customers &mdash; sales, product-led growth, and growth marketing. Of these three, growth marketing is particularly hard to staff for because great internal talent is find (ex. in SEO, there are probably &lt; 20 people who we would consider world-class), and time-consuming to ramp.
 
 
 Then there&rsquo;s the agencies, but agencies are often slow, lack strong technical talent, and in general are associated with poor quality of outcomes.
 
 
 🧑&zwj;💻 How we&rsquo;re solving this problem
 
 
 daydream is different &mdash; we&rsquo;ve built a vertically integrated software + services stack with a singular goal in mind &mdash; deliver outstanding outcomes for every customer we service, repeatedly and consistently in a fraction of the time they expect. While we&rsquo;ve started with SEO, we expect to expand to all other major growth marketing channels over the near future.
 
 
 🤝 The people you&rsquo;ll be working with
 
 
 <ul>
 <li>
 Shravan (CTO): Shravan was previously an Engineering Lead at Flixed. Before that, Shravan worked as a Software Engineer at Facebook for three years, where he worked on mass-scale web scraping for Facebooks&rsquo; Jobs product, and Meta Reality Labs.
 </li>
 <li>
 Vishruth (Founding Applied AI Engineer): Prior to joining Daydream, he worked as a Data Scientist at Klaviyo, specializing in NLP. Before that, he was at Cornell working on research projects with companies such as Home Depot and CVS Health.
 </li>
 <li>
 Tom (Founding Designer): Prior to joining daydream, Tom led the design of innovative products at Blockless, delivering refined user and developer experience in decentralized computing. Occasionally, Tom also does some UI engineering.
 </li>
 <li>
 Pedro (Founding Backend Engineer): Previously a Tech Lead at Relativity, Pedro developed distributed automated workflows using Azure, Logic Apps, Durable Functions, and Event-Driven Architecture. In his spare time, he dabbles in C++ and game development.
 
 
 </li>
 </ul>
 🥞 Our stack
 
 
 <ul>
 <li>
 Python
 </li>
 <li>
 TypeScript (T3 based)
 </li>
 <li>
 C# (.NET 9)
 </li>
 <li>
 Postgres
 </li>
 <li>
 Google Cloud
 </li>
 <li>
 LLMs (GPT, Claude, Gemini)
 
 
 </li>
 </ul>
 👷🏻&zwj;&female;️ What You&rsquo;ll Be Doing Here
 
 
 As an
 
 AI Engineer
 
 at daydream, you'll be at the forefront of innovation, driving the development of new AI solutions that power our growth marketing strategies. You will
 
 
 <ul>
 <li>
 lead projects from conception to deployment, encompassing scoping, research, development, and implementation of AI-driven solutions.
 </li>
 <li>
 architect, evaluate, and optimize complex LLM pipelines to achieve near perfect accuracy in real-world applications.
 </li>
 <li>
 collaborate closely with engineers, designers, and growth leads, to integrate AI capabilities into our products and services.
 </li>
 <li>
 rapidly build and iterate on prototypes with quality in mind.
 
 
 </li>
 </ul>
 ✅
 
 You&rsquo;ll be an excellent fit if you
 
 
 
 <ul>
 <li>
 are an expert at NLP, with more than just API-level experience. You have strong mental models of transformer-based architectures, embeddings, and the underlying mechanisms that drive modern language models.
 </li>
 <li>
 have a solid grounding in, and a interest in, probabilistic modeling, algorithms, experimental design, and statistical inference.
 </li>
 <li>
 are ready to stay adaptable in a startup environment, take on multiple roles, and step outside your comfort zone when needed.
 </li>
 <li>
 enjoy staying abreast of emerging AI trends and technologies.
 </li>
 <li>
 have an extremely high bar for quality and a keen eye for detail.
 
 
 </li>
 </ul>
 ❌
 
 This role
 
 
 
 won&rsquo;t
 
 
 
 be a good fit if you
 
 
 
 <ul>
 <li>
 are uncomfortable navigating new projects with minimal direction and embracing ambiguity.
 </li>
 <li>
 are looking for a narrowly scoped role.
 </li>
 <li>
 struggle to move fast and adapt in a rapidly evolving environment.
 
 
 </li>
 </ul>
 🏦 Compensation
 
 
 The compensation for this role is $180k - $220K base salary with generous equity in daydream.
 
 
 
 For applicants outside of the San Francisco Bay Area, we are offering paid relocation.
 
 
 
 Compensation Range: $160K - $220K
 
 
</div>

AI Engineer

Evolve Group

<div>
 
 
 Software Engineer
 
 
 
 
 San Francisco, CA | In-Office
 
 
 
 
 The Opportunity
 
 
 
 A rapidly scaling AI company based in San Francisco is looking for Software Engineers to help build and deploy intelligent agent systems used by enterprise customers in real production environments. The engineering team is small, highly autonomous, and focused on delivering robust AI driven products that solve real operational problems for large organizations.
 
 
 Engineers in this role are deeply involved across the entire lifecycle of what they build from early technical design and model experimentation through deployment, monitoring, and continuous improvement at scale. You&rsquo;ll work closely with senior stakeholders and customers across industries such as finance, healthcare, and hospitality, turning complex workflows into dependable AI powered systems.
 
 
 This role sits at the intersection of strong software engineering and applied AI, offering the chance to work hands on with modern language and voice models while maintaining production grade reliability for systems used by millions.
 
 
 
 
 
 What You&rsquo;ll Be Working On
 
 
 <ul>
 <li>
 Designing and implementing AI driven agents capable of handling sophisticated customer interactions
 </li>
 <li>
 Taking full ownership of systems, including architecture, development, deployment, and iteration
 </li>
 <li>
 Evaluating and integrating modern text and speech models into production workflows
 </li>
 <li>
 Identifying recurring customer needs to inform platform capabilities and product direction
 </li>
 <li>
 Solving scalability, reliability, and performance challenges in live enterprise environments
 </li>
 <li>
 Partnering closely with customers and internal teams to deliver impactful AI solutions
 </li>
 </ul>
 
 
 
 
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 2&ndash;8 years of experience building backend or full stack systems at a high-performing technology company, quantitative firm, or fast growing startup
 </li>
 <li>
 Strong system ownership mindset and comfort working with complex, distributed services
 </li>
 <li>
 Proven ability to deliver high-quality software in fast moving, ambiguous environments
 </li>
 <li>
 Passion for building production ready systems rather than prototypes
 </li>
 <li>
 Willingness to work in office in San Francisco (or relocate if needed)
 </li>
 </ul>
 
 
 
 
 Why Join
 
 
 <ul>
 <li>
 Build AI systems that replace or significantly augment human workflows at scale
 </li>
 <li>
 High trust, high ownership engineering culture with minimal process overhead
 </li>
 <li>
 Work directly on customer facing systems with immediate real world impact
 </li>
 <li>
 Exposure to cutting edge AI models in demanding enterprise settings
 </li>
 <li>
 Competitive compensation and substantial equity upside
 </li>
 </ul>
 
 
</div>

Software Engineer

Twitch

<div>
 
 About Us
 
 
 
 Twitch is the world&rsquo;s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.
 
 
 We&rsquo;re about community, inside and out. You&rsquo;ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We&rsquo;re on a quest to empower live communities, so if this sounds good to you, see what we&rsquo;re up to on LinkedIn and X, and discover the projects we&rsquo;re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.
 
 
 
 About The Role
 
 
 
 We are seeking Software Engineers to join the ML Products team. This team is focused on matching Twitch viewers with the communities they will love. To do this, we own the systems which power recommendations, search, notifications, feed, and onboarding. As a member of our team, you'll work to improve these products, invest in new ones, and make Twitch discovery better for both viewers and creators. You'll be part of a larger team of Software Engineers and partner with Product Managers, Applied Scientists, and other engineering teams across the company.
 
 
 This role is based in San Francisco, CA.
 
 
 
 You Will:
 
 
 
 
 <ul>
 <li>
 Maintain and improve the systems which power discovery on Twitch
 </li>
 <li>
 Partner with Applied Scientists to improve ML models that match interested viewers with relevant creators
 </li>
 <li>
 Collaborate with Product Managers to build, experiment, and roll out new Twitch discovery experiences
 
 
 
 </li>
 </ul>
 
 You Have:
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science or a related field (or equivalent industry experience as a Software Engineer)
 </li>
 <li>
 1+ years of experience delivering high quality software in a production environment
 </li>
 <li>
 Proficient coding skills in modern languages and frameworks
 </li>
 <li>
 Familiarity with scalability, concurrency, API design, data modeling, and distributed systems fundamentals
 </li>
 <li>
 Willingness to try new things and collaborate with a diverse group of people
 
 
 
 </li>
 </ul>
 
 Bonus Points
 
 
 
 
 <ul>
 <li>
 Experience with AWS technologies (such as S3, ECS, Lambda, DynamoDB, Redis, SQS, Flink, OpenSearch, and Sagemaker)
 </li>
 <li>
 Experience writing Go in production systems
 </li>
 <li>
 Experience with recommendations, search, or notification systems
 </li>
 <li>
 Experience building and maintaining ML systems in production environments
 </li>
 <li>
 Familiarity with Twitch and/or streaming on Twitch
 
 
 
 </li>
 </ul>
 
 Perks
 
 
 
 
 <ul>
 <li>
 Medical, Dental, Vision &amp; Disability Insurance
 </li>
 <li>
 401(k)
 </li>
 <li>
 Maternity &amp; Parental Leave
 </li>
 <li>
 Flexible PTO
 </li>
 <li>
 Amazon Employee Discount
 
 
 
 </li>
 </ul>
 
 Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
 
 
 
 Job ID: TW8946
 
 
 
 Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from our lowest geographic market up to our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. This position will remain open until filled. For more information, please visit https://www.twitch.tv/jobs/en/#learn-more. Applicants should apply via our internal or external career site.
 
 
 
 US Pay Per Year
 
 
 $99,500&mdash;$200,000 USD
 
 
 
 Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
 
 
 
 
 Twitch values your privacy. Please consult our Candidate Privacy Notice, for information about how we collect, use, and disclose personal information of our candidates.
 
</div>

Software Engineer, ML Products

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; 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 Python programming languages or 1 year of experience with an advanced degree in an industry setting.</li>
<li>Experience with Large Language Models, NLP, or generative AI.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>2 years of experience with data structures or algorithms in either an academic or industry setting.</li>
<li>Familiarity working with internal Google libraries for LLMs.</li>
<li>Understanding of health and wellness and how devices can help users further their goals.</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.

In this role, you will work with a team to prototype, experiment, and enable new AI experiences that we can then rapidly ship. You will create infrastructure that enables automatic evaluation where possible and develop optimized software modules. As part of the Health Intelligence organization, you will partner with product management, engineering, and many other cross-functional teams (e.g., clinical, privacy, security) to ensure we are rapidly iterating towards developing the best possible experience for our users.
The Health Platforms and Devices team builds innovative products and services that help our users live longer, healthier lives. We bring together the best of Google technologies and AI, health behavior science, and user-centered design to help users organize the health and wellness data, get insight from it, and take action toward their health goals. We do this with a suite of apps, services, and health wearables. We aim to make consumer health more personal, proactive, and actionable. 
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>Develop LLM/AI agent tasks in conjunction with research scientists utilizing internal libraries (e.g., OneTwo).</li>
<li>Develop and maintain evaluation pipelines and methodologies for testing various qualities such as accuracy or tone/factuality in the case of LLMs.</li>
<li>Deliver agents into the testing environment and enable the larger team to interact with them.</li>
<li>Work with Research Scientists to understand current methods for working with LLMs and various tools to improve outputs.</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, AI/ML, Health Intelligence

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