software engineer

software engineer - backend Jobs in San Francisco

software engineer - backend

software engineer, backend Jobs in San Francisco

software engineer, backend

2026 phd software engineer intern (ai security), united states Jobs in San Francisco

2026 phd software engineer intern (ai security), united states

ai robotics research engineer Jobs in San Francisco

ai robotics research engineer

machine learning engineer ai engineer

Beacon Talent

<div><div><h2 class="jobSectionHeader"><b>Our client
</b></h2><p>Our client is building AI infrastructure for the next era of learning, with a mission to make one-on-one, world-class tutoring accessible to every learner. Their products already reach hundreds of thousands of students worldwide, and they&rsquo;ve recently closed a top-tier seed round to accelerate growth. The team blends deep technical expertise with a passion for impact, and they are expanding in Berkeley to push the boundaries of real-time, personalized AI learning experiences.
</p><h2 class="jobSectionHeader"><b>About the Role
</b></h2><p>They are hiring a <b>Machine Learning / AI Engineer </b>to design, prototype, and ship machine learning systems with a strong focus on large language model (LLM) workflows, real-world evaluation, and deployment readiness. This is a hands-on engineering role (not research-focused) where you&rsquo;ll work closely with product, design, and engineering teams to bring powerful AI into real student experiences.
</p><p><b>Location: </b>On-site, Berkeley, CA
<br>
<b>Experience Level: </b>0&ndash;2 years
<br>
<b>Type: </b>Full-time, in-office
<br>
<b>Compensation: </b>Top-of-market cash with meaningful equity (0.1&ndash;0.3%)
</p><h2 class="jobSectionHeader"><b>Responsibilities
</b></h2><ul><li><p>Build, scale, and own ML/AI systems.
</p></li><li><p>Design evaluation pipelines and apply them to iteratively improve performance.
</p></li><li><p>Collaborate cross-functionally to ship student-facing ML features.
</p></li><li><p>Drive high-quality, high-speed execution in a startup environment
</p></li></ul><h2 class="jobSectionHeader"><b>Requirements
</b></h2><ul><li><p>0&ndash;2 years of professional ML engineering experience, ideally in product-facing roles.
</p></li><li><p>Strong machine learning and software engineering skills.
</p></li><li><p>Proficiency with Python and frameworks such as FastAPI or Django, plus experience with Postgres.
</p></li><li><p>Hands-on experience with LLMs: orchestration, context management, evaluation, and fine-tuning.
</p></li><li><p>Familiarity with cloud platforms (AWS, GCP, or Azure).
</p></li><li><p>Passion for building impactful products.
</p></li></ul><h2 class="jobSectionHeader"><b>Benefits &amp; Why Join
</b></h2><ul><li><p>Competitive cash + equity package.
</p></li><li><p>Direct mentorship from senior AI engineers and researchers.
</p></li><li><p>Work that ships fast and impacts learners directly.
</p></li><li><p>Opportunity to join at an early stage and help shape both the product and the company.</p></li></ul></div></div>

Machine Learning Engineer / AI Engineer

Wonderschool - a16z & Goldman

<div>
 <strong>
  About Wonderschool
  <br/>
  <br/>
 </strong>
 Wonderschool is harnessing the power of technology to provide comprehensive support to childcare providers operating out of their homes as well as in the government and non-profit sectors. Our products enable childcare providers to create high-quality environments and meet the demands of their business, while also helping parents in need of childcare solutions through the creation of an accessible marketplace.
 <br/>
 <br/>
 We are seeking a highly skilled and motivated Early Career Software Engineer to join our team. As the Early Career Software Engineer, you will play a crucial role in leading our software development initiatives, working with a talented team to create innovative solutions. Your expertise in delivery of high-quality software will be essential in driving the development of our cutting-edge applications.
 <br/>
 <br/>
 <strong>
  Role Overview
  <br/>
  <br/>
 </strong>
 We are seeking an Early Career Software Engineer with an interest in applied AI to join our growing team. This is a unique opportunity to work in a fast-paced, purpose-driven environment where you can apply your technical skills to create meaningful impact in the childcare ecosystem. You&rsquo;ll collaborate with cross-functional teams to build scalable, AI-driven solutions that empower childcare providers and improve parent experiences. This position is on site in our San Francisco office, Tuesday, Wednesday, and Thursday to allow for collaboration.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, develop, and maintain robust software solutions with a focus on integrating AI capabilities.
  </li>
  <li>
   Collaborate with product managers, designers, and engineers to define requirements and implement innovative features.
  </li>
  <li>
   Design and Development of AI Agents: Build modular, task-specific AI agents capable of natural language understanding, dialogue management, and action execution using frameworks such as LangChain or Rasa.
  </li>
  <li>
   Debug and troubleshoot technical issues to ensure platform stability.
  </li>
  <li>
   Stay current with emerging technologies and best practices in software engineering and AI.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Engineering, or related field.
  </li>
  <li>
   Strong foundation in programming languages (e.g., Python, JavaScript, or TypeScript).
  </li>
  <li>
   Familiarity with AI/ML concepts and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  </li>
  <li>
   Basic understanding of cloud platforms like Google Cloud Platform and AWS.
  </li>
  <li>
   Excellent communication skills and ability to work in a collaborative, in-person environment.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice-to-Have Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong understanding of machine learning principles, including model development, evaluation, and deployment for real-world applications.
  </li>
  <li>
   Retrieval-Augmented Generation (RAG) Pipelines: Design and deploy RAG pipelines by integrating retrievers with generative models to enable contextual, real-time responses using vectorized knowledge bases.
  </li>
  <li>
   Continuous Learning: Incorporate user feedback loops and data augmentation techniques to iteratively improve the performance and relevance of AI agents and RAG pipelines.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We Offer
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Compensation: Expected salary range is $100K&ndash;$120K annually, based on experience and location.
  </li>
  <li>
   Health Benefits: 100% coverage for employee premiums and 80% for dependents.
  </li>
  <li>
   Wellness: Flexible PTO, mental wellness days, and reimbursements for wellness initiatives.
  </li>
  <li>
   Parental Leave: Competitive policies eligible after six months of employment.
  </li>
  <li>
   Work Environment: 3-5 Days in our SF Office in Downtown in SF with lunch covered.
   <br/>
   <br/>
  </li>
 </ul>
 Wonderschool&rsquo;s mission is to ensure every child has access to child care that helps them realize their potential. We are doing this by building a suite of tools to support passionate early care and education professionals to start and run quality and sustainable child care programs. Our tools allow providers to easily manage their students, parents, and school all from one dashboard. Our community allows providers to seek advice, support, and a sense of belonging with a group of like-minded peers.
 <br/>
 <br/>
 For parents, our marketplace allows parents to easily search for schools, schedule visits, enroll their children, and make payments.
 <br/>
 <br/>
 The first five years of a child&rsquo;s life are critical for nurturing brain development for success in school and beyond. All children deserve access to a care situation that will allow them to grow into healthy, lifelong learners. By leading a revolution where all children are able to get access to an environment to develop these skills, we can create drastic changes to neighborhoods and societies as a whole.
</div>


Early Career Software Engineer – Applied AI

Tonic.ai

<div><p>Tonic.ai is looking for a hands-on Machine Learning Engineer to help build production-grade NLP systems that power our data privacy and information extraction products. You'll join a small, experienced team working at the intersection of LLMs, data privacy, and applied AI &mdash; developing and fine-tuning models that detect and redact sensitive information across diverse datasets.</p><p></p><h2 class="jobSectionHeader"><b>
What You&rsquo;ll Do</b></h2><ul><li><p><b>
Build and ship models.</b> Fine-tune and evaluate transformer-based models (e.g., RoBERTa, Gemma, LLaMA) to support PII redaction, entity extraction, and synthetic data generation.</p></li><li><p><b>
Own the ML lifecycle.</b> From dataset curation and experiment tracking to model deployment and monitoring &mdash; you&rsquo;ll own the full path from prototype to production.</p></li><li><p><b>
Collaborate cross-functionally.</b> Partner with Product and Design to shape how ML models drive user-facing features, and work with the broader engineering team to integrate them into scalable systems.</p></li><li><p><b>
Experiment responsibly.</b> Document your experiments, evaluate results rigorously, and help push the frontier of safe and explainable AI for data privacy.</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
What You&rsquo;ll Bring</b></h2><ul><li><p>
3+ years of professional experience in applied ML or data science with a focus on NLP</p></li><li><p>
Proficiency in <b>Python</b> and deep learning frameworks such as <b>PyTorch</b> and <b>Hugging Face Transformers</b></p></li><li><p>
Hands-on experience with <b>experiment tracking</b> (e.g., Weights &amp; Biases), <b>distributed training</b> (e.g., Accelerate), and <b>model serving</b> (e.g., vLLM)</p></li><li><p>
Comfort working independently and iterating quickly &mdash; you enjoy the mix of research, engineering, and product thinking</p></li><li><p>
Strong communication and collaboration skills</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Bonus Points For:</b></h2><ul><li><p>
Experience with supervised and reinforcement learning fine-tuning (e.g. TRL)</p></li><li><p>
Familiarity with data privacy, PII redaction, or healthcare data</p></li><li><p>
A public portfolio, blog, or open-source contributions that demonstrate your technical depth and curiosity</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Why You&rsquo;ll Love It Here</b></h2><ul><li><p>
High autonomy and meaningful ownership &mdash; your models will ship to production, not sit in a notebook</p></li><li><p>
Small, collaborative team with deep expertise in NLP and privacy</p></li><li><p>
Opportunity to work with real-world, high-impact data in domains like healthcare and financial services</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Benefits</b></h2><ul><li><p>
Competitive salary and company equity</p></li><li><p>
Unlimited PTO and generous parental leave</p></li><li><p>
Medical, dental, and vision insurance</p></li><li><p>
401(k) with employer contribution</p></li><li><p>
Remote-friendly work environment</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
About Tonic.ai</b></h2><p>
Tonic.ai creates safe, high-quality synthetic data that helps developers move fast while protecting sensitive information. Thousands of engineers rely on Tonic-generated data daily to power development, testing, and CI/CD pipelines across industries including healthcare, financial services, logistics, and education. We&rsquo;re growing fast and looking for builders who want to make privacy practical.</p></div>

Machine Learning Engineer (NLP)

GHKTech

<p>Job Title: Data Scientist - Co-Pilot/AI/Agentic tools</p><p>(Long-Term Contract &ndash; 12+ Months)</p><p>Location: Hybrid &ndash; 1 Day/ Week in San Francisco downtown, Remote rest of the week</p><p>Job Overview: We are seeking a highly skilled and motivated Data Scientist to join the Supply Chain IT Group of a leading multinational retailer. This is a long-term contract opportunity (12+ months) designed for professionals who are passionate about leveraging AI to solve complex business problems in the supply chain and IT space. The ideal candidate will bring hands-on experience with AI and Co-Pilot tools, demonstrate strong capabilities in deploying agentic AI solutions, and be comfortable communicating technical concepts to both technical and non-technical stakeholders. This is a hybrid role, requiring one day per week onsite at our client&rsquo;s San Francisco downtown office, with the flexibility to work remotely the rest of the week.</p><p>Key Responsibilities: <b>Collaborate with cross-functional teams within the IT and supply chain domains to understand business challenges and identify opportunities for AI-driven solutions. </b> Design, develop, and deploy AI and machine learning models tailored to optimize supply chain processes and decision-making. <b>Utilize AI tools and frameworks to build agentic AI systems that can automate and augment complex tasks. </b> Implement and manage Co-Pilot-style solutions to assist internal users with intelligent automation and data-driven decision support. <b>Translate complex data insights into clear, actionable recommendations through compelling visualizations, presentations, and written reports. </b> Work closely with IT stakeholders to ensure smooth integration of data science solutions into existing infrastructure and workflows. <b>Stay updated on the latest advancements in AI, machine learning, and supply chain technologies to continuously enhance solution capabilities.</b></p><p>Required Qualifications: <b>Proven experience as a Data Scientist with a strong portfolio of AI/ML projects. </b> Strong hands-on expertise with AI tools, libraries, and frameworks. <b>Demonstrated experience deploying agentic AI solutions (e.g., AI agents that perform autonomous decision-making or task execution). </b> Strong understanding and practical experience with Co-Pilot tools. <b>Excellent verbal and written communication skills, with a proven ability to present technical findings to diverse audiences. </b> Comfortable working in IT-driven environments, collaborating with engineers, analysts, and business users.</p><p>Preferred Skills: <b>Experience in Supply Chain operations or technology is strongly preferred. </b> Familiarity with cloud platforms and MLOps practices. <b>Background in retail or logistics data analytics. </b> Experience with large language models (LLMs), retrieval-augmented generation (RAG), or enterprise knowledge management tools. <b>Understanding of data governance, security, and compliance in enterprise settings</b></p><p>Job Type: Contract</p><p>Pay: From $80.00 per hour</p><p>People with a criminal record are encouraged to apply</p><p>Experience:</p><ul><li>Data science: 10 years (Required)</li><li>AI: 3 years (Required)</li></ul><p>Ability to Commute:</p><ul><li>San Francisco, CA 94103 (Required)</li></ul><p>Work Location: Hybrid remote in San Francisco, CA 94103</p>

Data Scientist - Copilot and AI tools- Retail industry

COGENT SECURITY

<div><p><b>About the Role</b></p><p>
Cogent Security is redefining how AI can proactively defend organizations against evolving threats. As a <b>Staff Frontend Engineer,</b> you will own the frontend platform and experience that enables customers to visualize, understand, and act on complex security data with confidence.</p><p></p><p>
This is a Staff+ caliber role: you&rsquo;ve operated at least at Staff, Senior Staff, or Principal Frontend Engineer level at some point in your career, and you&rsquo;re excited to set the technical direction for a brand-new platform. You will design the frontend infrastructure, build &ldquo;golden&rdquo; component libraries, and make the platform AI-friendly, all while continuing to ship customer-facing features.</p><p></p><p>
You&rsquo;ll combine deep architectural thinking with hands-on development, ensuring that our frontend stack is both elegant and resilient as we scale. Over time, you&rsquo;ll help mentor other frontend engineers and we will build a team around the foundations you create.</p><p></p><p><b>
What You&rsquo;ll Do</b></p><ul><li><p><b>
Define Frontend Architecture </b>&ndash; Establish the core architecture and patterns for our web applications, laying the foundation for long-term scalability and performance.</p></li><li><p><b>
Build Golden Libraries &amp; Platform </b>&ndash; Create reusable component libraries and tooling that set the standard for quality and enable rapid, consistent development across the team.</p></li><li><p><b>
Build AI-Driven, User-Focused Features</b> &ndash; While setting up core frontend infrastructure, design and deliver high-impact features that seamlessly integrate AI-powered capabilities, ensuring clarity, usability, and reliability for complex security workflows.</p></li><li><p><b>
Mentor and Influence</b> &ndash; Serve as a mentor and technical leader for future frontend engineers; help us grow a team that values craftsmanship and excellence.</p></li><li><p><b>
Drive Engineering Craftsmanship </b>&ndash; Uphold high standards of code quality, attention to detail, and thoughtful design. Balance speed with sustainable engineering practices.</p></li></ul><p></p><p><b>
About You</b></p><ul><li><p>
Have operated at Staff+ level (Staff, Senior Staff, or Principal Frontend Engineer) at some point in your career.</p></li><li><p>
5+ years of professional software engineering experience</p></li><li><p>
Deep expertise in React, TypeScript, and modern web application architecture.</p></li><li><p>
Strong background in frontend infrastructure&mdash;component libraries, build systems, state management, and performance optimization.</p></li><li><p>
Demonstrated ability to work autonomously, owning projects end-to-end with minimal oversight</p></li><li><p>
Exceptional attention to detail and a passion for engineering craftsmanship.</p></li><li><p>
Excellent collaboration and communication skills; thrive in fast-paced, high-impact environments.</p></li></ul><p></p><p><b>
Why Cogent Security</b></p><p>
Cogent Security is redefining how AI can proactively defend organizations against evolving threats. Our mission is to empower security teams with cutting-edge AI agents and clear, actionable insights. You&rsquo;ll join a high-slope engineering team where your work directly impacts the safety of some of the world&rsquo;s most sophisticated organizations.</p></div>

Staff Frontend Engineer

Storm3

<div><h2 class="jobSectionHeader"><b>About the job</b></h2><br>
<p></p>
<p><b>
&zwj; Principal Software Engineer (Computational Chemistry/Molecular Dynamics)</b></p>
<p><b>
 AI Drug Discovery Unicorn (Series B)</b></p>
<p><b>
Remote within US</b></p>
<p><b>
 Competitive base + hefty equity</b></p><br>
<p></p>
<p>
This start-up is truly a leader in deep learning &amp; generative AI, merging cutting-edge models with biology research to accelerate disease treatment &amp; drug discovery.</p><br>
<p></p>
<p>
They are seeking engineering experts to help develop new medicines and play a critical role in building out their software platform</p><br>
<p></p>
<p><b>
Responsibilities:</b></p>
<ul>
<li>Build and maintain complex computational chemistry workflows for drug discovery
</li><li>Work closely with computational chemists and CADD scientists to productionize new computational methods for molecular property prediction
</li><li>Help scale our data infrastructure to handle billions of datapoints and hundreds of thousands of parallel QM and molecular dynamics jobs</li></ul><br>
<p></p>
<p><b>
Requirements:</b></p>
<ul>
<li>A deep thinker who reasons from first principles, balances attention to detail with architectural thinking, and has an investigational curiosity to find the root cause of a problem
</li><li>Comfortable working across all levels of the software stack, building intuitive APIs and libraries for computational chemists
</li><li>Experienced working in the fields of computational chemistry and drug discovery
</li><li>Experienced writing production code and driving projects to completion
</li><li>Fields of education include immunology, molecular and cell biology, biochemistry, or related disciplines</li></ul><br>
<p></p>
<p><i>
 Remote within the USA</i></p>
<p><i>
 Interested in applying? alternatively email me your resume at </i><b><i>stefani.lukic@storm3.com</i></b></p><br>
<p></p>
<ul><li><i>Storm3 is a HealthTech &amp; Biotech recruitment firm with clients across major Tech hubs in Europe, APAC and North America. To discuss open opportunities or career options, please visit our website at storm3.com and follow the Storm3 LinkedIn page for the latest jobs and int</i>el</li></ul></div>

Staff SWE – Computational Chemistry

Autodesk

<div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div>Job Requisition ID #</div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><div></div>
25WD92020<div></div><div>
Position Overview</div><div></div><div>
Autodesk Research is a dynamic team of researchers, engineers, and industry domain experts who collaborate with leading academic and industry partners.</div><div>
We are seeking an AI Research Scientist specializing in Motion Generation to intern with our Media and Entertainment research team this summer. Your work will focus on exploring novel motion generation techniques using state-of-the-art Machine Learning methods. You will work with other research scientists, ML engineers, and industry experts to deploy and validate your approach in the context of a character animation workflow, with the potential to significantly enhance the character animation pipeline for professional animators.</div><div>
Our unique environment combines the best of academia with product-driven research. We have a strong track record of publishing at top-tier conferences such as NeurIPS, ICML, and SIGGRAPH, and our research also contributes to cutting-edge features in Autodesk&rsquo;s suite of products.</div><div></div><div>
Responsibilities</div><ul><li><div>
Develop and implement novel machine learning models for motion generation in the context of character animation</div></li><li><div>
Experiment with and analyze motion capture and key-framed animation datasets</div></li><li><div>
Collaborate with a cross-functional team to integrate and test new methods within existing animation workflows</div></li><li><div>
Review relevant AI/ML literature to identify emerging methods, technologies, and baseline approaches</div></li><li><div>
Document research findings and present results to the broader research team and other stakeholders</div></li><li><div>
Contribute to the publication of research papers and patents based on your findings</div></li></ul><div></div><div>
Minimum Qualifications</div><ul><li><div>
Full-time student pursuing an MS or Ph.D. (preferred) in Computer Science, Graphics, Machine Learning or similar in an accredited program with at least one academic term to complete post-internship</div></li><li><div>
Proven experience in machine learning, with a focus on motion generation or character animation</div></li><li><div>
Strong programming skills in Python and familiarity with machine learning frameworks like TensorFlow or PyTorch</div></li><li><div>
Experience conducting research and publishing results</div></li></ul><div></div><div>
Preferred Qualifications</div><ul><li><div>
Previous publications in the field of motion generation</div></li><li><div>
Experience with Transformer and Diffusion-based models</div></li><li><div>
Experience developing for character animation tools like Maya or 3ds Max</div></li><li><div>
Passion for and experience in the character animation and/or visual effects industry</div></li></ul><div></div><div>
Learn More</div><div></div><div>
About Autodesk</div><div>
Welcome to Autodesk! Amazing things are created every day with our software &ndash; from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.</div><div></div><div>
We take great pride in our culture here at Autodesk &ndash; it&rsquo;s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.</div><div></div><div>
When you&rsquo;re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!</div><div></div><div><div><div><div><div><div><div><div>
Salary Transparency</div></div></div></div></div></div></div></div><div>
Salary is one part of Autodesk&rsquo;s competitive compensation package. Offers are based on the candidate&rsquo;s experience, educational level, and geographic location, and can exceed this range.</div><div></div><div>
For U.S.-based roles, we expect a starting annualized intern base salary to be between:</div><ul><li>
$47,840 and $95,680 (undergraduate students)</li><li>
$72,800 and $118,500 (Masters/MBA students)</li><li>
$118,560 and $162,240 (PhD students)</li></ul><div></div><div>
Equal Employment Opportunity</div><div>
At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.</div><div></div><div>
Diversity &amp; Belonging<br>
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: <div>https://www.autodesk.com/company/diversity-and-belonging</div></div></div>

PhD Intern, AI Research Scientist, Motion Generation

Explore 131+ Machine learning engineer ai engineer in San Francisco this October. Find roles across top companies and apply now to boost your career.