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ai engineer (assistant) Jobs in San Francisco

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ai engineer (vlm & vla)

ai programer

Audet & Partners

Job Overview We are seeking a dynamic and innovative AI Programmer to work on a unique and historical program. Likely will result in long term employment. Essentially, will hire two people total, one with signficant experience and another junior assistant with AI background. Task will be determine best way to apply AI to reduce &quot;man hours&quot; extracting data and apply AI tools to streamline a complicated process involved the US Customs department. Must be able to apply current AI to custom needs, including IDP extration and use of RPA bots.Additional details require NDA.Pay: $45.00 - $70.00 per hourWork Location: Hybrid remote in San Francisco, CA 94102

AI programer

Handshake

<div>
 
 Overview
 
 
 
 Handshake is recruiting exceptional design professionals to help create world-class online shopping experiences. If you frequently shop online, have experience in user experience or brand design, and take pride in producing high-quality, visually compelling work, you could be an excellent fit for our team.
 
 
 As a MOVE program participant, you&rsquo;ll help advance the creative capabilities of Large Language Models (LLMs) in visual storytelling, business branding, and professional communication. The Handshake AI Fellowship program runs all year, with opportunities varying by design specialization.
 
 
 
 About Handshake AI
 
 
 
 About Handshake AI
 
 
 Details
 
 
 <ul>
 <li>
 The position is remote and asynchronous - work independently from wherever you are.
 </li>
 <li>
 Flexible hours and the ability to work remotely, with no minimum commitment to hours.
 </li>
 <li>
 Project work includes and is not limited to developing domain-specific prompts/inputs and evaluating LLM responses.
 </li>
 <li>
 Dedicate time researching topics that are interesting to you, with the assistance of AI.
 </li>
 <li>
 Learn new skills while contributing to the changing world of AI across various disciplines.
 </li>
 <li>
 Placement into a project will be dependent on project availability.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Must have a bachelor's degree and have at least 2/3 years of work experience
 </li>
 <li>
 Must have full-time work experience as a brand designer, UX designer, human-centered designer, and related fields
 </li>
 <li>
 Must have a portfolio of business slides to showcase
 </li>
 <li>
 Ability to work independently and asynchronously within a distributed team and with AI research partners.
 </li>
 <li>
 Belief that your creative insight can surpass current AI in visualizing and explaining business concepts.
 
 
 </li>
 </ul>
 Work authorization information
 
 
 F-1 students who are eligible for CPT or OPT may be eligible for projects on Handshake AI. Work with your Designated School Official to determine your eligibility. If your school requires a CPT course, Handshake AI may not meet your school&rsquo;s requirements. STEM OPT is not supported. for more information on what types of work authorizations are supported on Handshake AI.
</div>

Design Expert

Arcade

<div>
 
 About Arcade
 
 
 
 Arcade is building the world&rsquo;s first AI physical product creation platform, where imagination becomes reality. Our platform lets anyone design, purchase, and sell custom, manufacturable products using natural language and generative AI. We believe everyone should have the power to create physical goods as easily as they post online, and we&rsquo;re building the infrastructure to make that real.
 
 
 We&rsquo;ve raised $42M from a world-class group of investors, including Reid Hoffman, Forerunner Ventures (Kirsten Green), Canaan Partners (Laura Chau), Adverb Ventures (April Underwood), Factorial Funds (Sol Bier), Offline Ventures (Brit Morin), Sound Ventures (Ashton Kutcher), Inspired Capital (Alexa von Tobel), and Torch Capital (Jonathan Keidan). Our angel investors include Elad Gil, Ev Williams, Marissa Mayer, Sara Beykpour, Kayvon Beykpour, Anna Veronika Dorogush, Eugenia Kuyda, David Luan, Sharon Zhou, Kelly Wearstler, Karlie Kloss, Colin Kaepernick, Christy Turlington Burns, and Jeff Wilke.
 
 
 Arcade is headquartered in San Francisco&rsquo;s Presidio and led by serial entrepreneur Mariam Naficy (Minted, Eve), and a founding team with deep experience in generative AI, design systems, and supply chain. We&rsquo;re pioneering a new category at the intersection of AI, personal expression, and on-demand manufacturing, and we&rsquo;re building fast.
 
 
 
 Overview Of Role
 
 
 
 We are seeking an Applied AI Engineer to join our growing team and help advance our generative AI capabilities. This role blends hands-on model development with integration of cutting-edge AI techniques into production systems. You&rsquo;ll contribute to research, model experimentation, and implementation working closely with cross-functional teams to bring AI-driven products to life.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Collaborate with engineering and product teams to train and fine-tune machine learning models, including diffusion models, LLMs, and other emerging generative architectures
 </li>
 <li>
 Develop tools and pipelines that support scalable, efficient, and production-ready AI systems
 </li>
 <li>
 Collect, clean, and analyze large-scale datasets to improve model performance and reliability
 </li>
 <li>
 Deploy and maintain AI models in production environments, ensuring scalability, reliability, and efficiency
 </li>
 <li>
 Design and deploy text-to-image models and LLM-based applications, including advanced prompt engineering, fine-tuning, and multi-component workflows
 </li>
 <li>
 Maintain and monitor deployed models in cloud-based production environments
 </li>
 <li>
 Stay current with developments in generative AI, contribute to the research environment, and apply new developments to enhance pipeline performance
 </li>
 <li>
 Communicate technical concepts clearly across technical and non-technical audiences
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Mathematics, AI/ML, or a related field
 </li>
 <li>
 Strong proficiency in Python and familiarity with Linux environments; hands-on experience with machine learning libraries like PyTorch, TensorFlow,, etc.
 </li>
 <li>
 Strong fundamentals in machine learning concepts, with a deep understanding of algorithms and their underlying mechanics ("under the hood")
 </li>
 <li>
 Familiarity with training, fine-tuning, and evaluating models, especially with large-scale datasets
 </li>
 <li>
 Familiarity with data preprocessing, cleaning, and feature engineering
 </li>
 <li>
 Awareness of recent developments in generative AI, diffusion models, and LLMs
 </li>
 <li>
 Familiarity with cloud platforms and deploying AI models in cloud-based environments
 </li>
 <li>
 Excellent problem-solving and analytical thinking skills with close attention to detail
 </li>
 <li>
 Excellent communication and collaboration skills in a fast-paced and collaborative environment.
 
 
 </li>
 </ul>
 
 Additional
 
 
 
 Competitive compensation
 
 
 Lunch provided daily
 
 
 Company events
 
 
 Arcade is an equal opportunity employer. We&rsquo;re committed to building a diverse, inclusive, and supportive team, and to creating a platform where anyone, anywhere, can make something meaningful.
 
 
</div>

Applied AI Engineer

Zendesk

<div>
 
 Job Description
 
 
 
 
 
 About Zendesk
 
 
 
 
 Zendesk makes sales, support, and customer engagement software to help businesses offer a differentiated customer experience. Design is an integral part of everyday life at Zendesk, and Design Operations focuses on enabling our team, processes, and systems to work together more effectively and have a greater impact on our people and products.
 
 
 
 About The Role
 
 
 
 We are looking for a
 
 Design Operations Intern
 
 (also known as a Design Program Manager or Producer intern) to join the Zendesk Product Design team with a specific focus on
 
 AI Enablement
 
 .
 
 
 As the design landscape rapidly shifts, we are evolving our usage of AI tools. You will help support this internal transformation by optimizing design workflows, piloting new AI capabilities, and supporting the team in integrating AI as a partner for both craft and speed. You will report to the Director of Product Design Operations and work closely with our "AI Champions" to operationalize the future of design at Zendesk.
 
 
 The Zendesk Design team is committed to building and using AI that is transparent and accountable. As a Design Ops intern, you will play a role in ensuring our internal AI enablement maintains the "human-in-the-loop" philosophy that is core to our design craft.
 
 
 
 
 Who You Are
 
 
 
 
 <ul>
 <li>
 AI-Literate &amp; Curious: You are interested in the rapidly evolving landscape of AI tools (like LLMs, generative UI tools, and AI-powered design plugins) and are eager to explore how they can be applied to design processes.
 </li>
 <li>
 Process-Oriented: You enjoy breaking down complex workflows and identifying friction points where automation or AI can add the most value.
 </li>
 <li>
 People-Centered: You are a strong communicator who can translate technical AI capabilities into practical guidance for designers, researchers, and content designers.
 </li>
 <li>
 Design-Minded: You have a solid understanding of the product design lifecycle and are passionate about solving design problems.
 </li>
 <li>
 Critically Optimistic: You are excited about AI&rsquo;s potential, and remain healthily skeptical of its nature. You ask the hard questions: "Is this fair? Is this transparent? Who might this exclude?"
 
 
 </li>
 </ul>
 
 
 What You&rsquo;ll Do
 
 
 
 
 <ul>
 <li>
 Workflow Optimization: Optimize specific design and research workflows (e.g., documentation, prototyping, synthesis) that are best enabled by AI to help increase creative bandwidth
 </li>
 <li>
 Audit &amp; Inventory: Help maintain and update an internal AI tool inventory, tracking approved tools, primary use cases, and integration opportunities
 </li>
 <li>
 Enablement Materials: Assist in creating and publishing "AI in Design" quick-start guides, FAQs, and best practices for tools like Figma Make and Lovable.
 </li>
 <li>
 Community Support: Help coordinate the "AI Champions" program and knowledge-sharing rituals like "AI Show &amp; Tells" to surface successful AI use cases across the design org.
 </li>
 <li>
 Measure Impact: Support the collection and analysis of metrics regarding AI adoption, time saved, and its impact on designer satisfaction.
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Currently enrolled in a graduate or undergraduate program in Design, Human-Computer Interaction, Business Operations, Program Management, or a related field.
 </li>
 <li>
 A portfolio or work samples demonstrating design thinking and problem-solving &mdash; this could include academic, personal, and/or work projects.
 </li>
 <li>
 Must be authorized to work in the U.S.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Familiarity with Design Thinking principles and the product development lifecycle.
 </li>
 <li>
 Hands-on experience with emerging AI tools (e.g., ChatGPT, Claude, Gemini, Figma AI, or coding assistants like Cursor).
 </li>
 <li>
 Strong organizational skills and the ability to manage multiple small-scale projects or experiments simultaneously.
 </li>
 <li>
 Curiosity, high tolerance for ambiguity, and passion for learning
 </li>
 <li>
 Strong interest in Inclusive Design or Accessibility (A11y), applying these lenses to how AI tools are used or what they produce.
 </li>
 <li>
 Familiarity with established ethical AI frameworks (e.g., IEEE 7000, the FAST principles&mdash;Fairness, Accountability, Sustainability, Transparency, or the EU AI Act).
 
 
 </li>
 </ul>
 The US hourly base rate range for this position is $31.25-$61.00. This position may also be eligible for bonus, benefits, or related incentives. While this range reflects the minimum and maximum value for new hire rates for the position across all US locations, the offer for the successful candidate for this position will be based on job related capabilities, applicable experience, and other factors such as work location. Please note that the compensation details listed in US role postings reflect the base rate only (or OTE for commissions based roles), and do not include bonus, benefits, or related incentives.
 
 
 Hybrid: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager.
 
 
 
 The Intelligent Heart Of Customer Experience
 
 
 
 Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.
 
 
 Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.
 
 
 As part of our commitment to fairness and transparency, we inform all applicants that artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications for this position, in accordance with Company guidelines and applicable law.
 
 
 Zendesk is an equal opportunity employer, and we&rsquo;re proud of our ongoing efforts to foster global diversity, equity, &amp; inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here.
 
 
 Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to peopleandplaces@zendesk.com with your specific accommodation request.
</div>

Design Operations Intern, Product Design

Airbyte

<div>Airbyte is the open‑source standard for data movement. We've enabled data teams to move data from applications, APIs, unstructured sources and databases to data warehouses, lakes, and AI applications. With tens of thousands of connectors built and hundreds of thousands of companies adopting Airbyte, we've proven the economics of data integration at scale. And now Airbyte is building the frontier agentic data infrastructure, purpose-built for AI agents that need fast, accurate access to data across hundreds of sources. Our mission: make data available and actionable, everywhere.
We've raised $181M from the world's top investors (Benchmark, Accel, Altimeter, Coatue, Y Combinator, etc.) and we believe in product-led growth, where we build something awesome that all our users love. We&rsquo;ve raised enough capital to explore boldly, but we still choose to move quickly, stay scrappy, and experiment constantly as we find the right paths in an AI-native landscape.<h2 class="jobSectionHeader">
The Role:</h2>
As a Founding Senior Developer Advocate at Airbyte, you will be the first developer advocate dedicated to our new agentic data infrastructure product. This is equal parts building and storytelling. You'll ship real projects using our product, create technical content that shows AI engineers what's possible, and build relationships across the AI agent ecosystem. If you're the kind of person who gets excited about building cool AI demos on a Friday night and sharing what you learned with the community on Monday morning, this role is for you.<h2 class="jobSectionHeader">
What You&rsquo;ll Do:</h2><ul><li>
Build and ship projects, demos, and sample applications using Airbyte's agentic data infrastructure, showing AI engineers how to give their agents fast, accurate access to business data.</li><li>
Create high-quality technical content including tutorials, blog posts, walkthrough videos, and live coding sessions that make complex concepts accessible and engaging.</li><li>
Partner with AI framework teams (LangChain, Pydantic AI, CrewAI, and others) to build integrations, co-create content, and ensure Airbyte works seamlessly with the leading agent SDKs.</li><li>
Work with influencers and technical creators in the AI engineering community to amplify Airbyte's presence and reach new audiences.</li><li>
Represent Airbyte at meetups, conferences, podcasts, and online communities, sharing what you're building and learning along the way.</li><li>
Engage with the developer community across GitHub, Discord, Twitter/X, and YouTube, answering questions, spotlighting community projects, and gathering feedback.</li><li>
Bring insights from the community back to Product and Engineering to help shape the product roadmap and developer experience.</li></ul><h2 class="jobSectionHeader">
What You&rsquo;ll Need:</h2><ul><li>
2+ years of experience in developer advocacy, developer relations, or a hands-on engineering role with a strong content creation component.</li><li>
Proficiency in Python and familiarity with the AI/ML ecosystem, including agent frameworks, LLMs, and modern AI tooling.</li><li>
Demonstrated experience creating technical content that developers actually want to read, watch, or build with.</li><li>
A builder mentality. You're not just talking about the product, you're using it, breaking it, and shipping things with it.</li><li>
Strong communication and storytelling skills, with the ability to make technical topics clear and compelling.</li><li>
Comfort working in a fast-paced, early-stage environment where you'll help define the playbook from scratch.</li></ul><h2 class="jobSectionHeader">
Nice To Have:</h2><ul><li>
An existing online presence (blog, YouTube channel, Twitter/X following, newsletter) in the AI or data engineering space.</li><li>
Comfortable and engaging on camera, whether that's YouTube videos, conference talks, or podcast appearances.</li><li>
Experience working with or contributing to AI agent frameworks like LangChain, CrewAI, Pydantic AI, or similar projects.</li><li>
Familiarity with data infrastructure concepts like ELT, CDC, schema management, and real-time sync.</li><li>
Experience building or maintaining open-source projects.</li></ul><h2 class="jobSectionHeader">
Location:</h2><ul><li>
Onsite 5 days/week in San Francisco, CA</li></ul>
If you find this role exciting, we encourage you to apply even if you think you don&rsquo;t meet all of the requirements!
Airbyte is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, creed, color, religion, national origin, ancestry, age, physical or mental disability, pregnancy, genetic information, sex, sexual orientation, gender identity or expression, marital status, familial status, domestic violence victim status, veteran or military status, or any other legally recognized protected basis under federal, state or local laws. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Airbyte is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. Please let us know if you need assistance or accommodations due to a disability.
Compensation Range: $130K - $150K</div>

Senior Developer Advocate

Salesforce

<div>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Software Engineering
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
We are seeking an experienced Salesforce Software Quality Lead Member of Technical Staff (LMTS) with a strong technical background. This engineer should have an AI first approach and be able to help the team translate from traditional testing to using AI in driving acceleration and accuracy in testing and be a multiplier using AI tools. Prior experience as a member of a Data Science, ML Science, or ML Engineering team is a plus.
As a Quality LMTS, you will play a key role in defining, implementing, and maintaining the quality strategy for Salesforce products, with a strong focus on integrating cutting-edge AI technologies. You will collaborate with cross-functional teams, including product development, data science, and AI teams, to ensure that Salesforce&rsquo;s AI-driven solutions meet the highest quality standards for enterprise applications.
<h2 class="jobSectionHeader">This role requires onsite presence in San Francisco, California office.
</h2>Key Responsibilities: 
 
Drive Innovation &amp; Adoption: Identify opportunities for integrating AI/ML solutions into existing workflows, propose new ones that are high-quality and efficient, and generally positively influence engineering decision-making by communicating and evaluating solution options, and facilitating agreement among key stakeholders. Ensure that we are continuously raising our standard of engineering excellence and producing high business impact. 
 
Continued Excellence in AI/ML: Be tuned into developments in the field of AI/ML, by tracking publicly available models, frameworks, libraries and publications, while being focused on their practical application and relevance to Salesforce. 
 
Technical Leadership on Proof of Concepts: Influence the direction of R&amp;D as a whole through your technical, process, or product knowledge leadership. Industry-expert level in understanding of quality concerns and validation techniques. Able to drive behaviors and initiatives that both focus on quality and throughput. 
 
Collaborate on AI Model Improvements: Work closely with data scientists and machine learning engineers to provide feedback on LLM performance and recommend improvements based on quality testing results. 
 
Evaluate LLM Performance: Assess and optimize Large Language Models (LLMs) for quality, accuracy, relevance, and safety in various use cases.
 
Human Evaluation: Oversee human evaluation processes for subjective quality dimensions, such as response engagement, user safety, and contextual accuracy. 
 
Define Quality Strategies: Develop and implement robust quality strategies for Salesforce&rsquo;s SaaS products, focusing on AI/ML and LLM integrations. 
 
Multiplier: Provide technical leadership for critical areas that significantly impact customer success. You have depth of expertise in key technologies and you are often consulted on the design and delivery of new solutions. You bring new best practices to R&amp;D and actively ensure that they are being used.
Continues to deepen and widen their understanding of the application and drives discussion of sometimes complex or controversial issues in open forums such as concept reviews, VAT discussions, and cross team discussions. 
 
Cross-Platform Collaboration: Use your understanding of customers&rsquo; needs across industries and multiple technology landscapes (CRM, Modern Data Stack, Analytics &amp; BI, CRM and AI) to develop solutions across Salesforce's technology stack. Work in a consultative fashion to improve communication, teamwork and alignment among teams inside and outside of the organization. 
 
Mentor and Organization Builder: Be a cornerstone in the infrastructure of technical expertise represented by the organization's senior engineers. You challenge and engage with them to develop their expertise and leadership contributions. You are a key resource for engineers seeking to advance to the next level.
Required Skills and Qualifications:
<ul><li>Having an overall 10+ years of experience with software development engineer in test or quality engineering experience.
</li><li>Proficiency in Java programming languages, with hands-on experience in testing frameworks.
</li><li>AI &amp; Machine Learning Expertise: Strong understanding of AI/ML principles, particularly in evaluating and optimizing model performance, response consistency and safety, fine-tuning of Small Language Models and model distillation. Although the focus is LLMs, the candidate is also expected to be familiar with non-LLM AI/ML techniques and practices such as model selection, picking of appropriate metrics, embeddings, areas such as fairness and explainable AI, traditional models such as Random Forest, Gradient Boosting, etc. Experience with libraries such as scikit, Transformers (Hugging Face), Pytorch and TensorFlow.
</li><li>LLM Expertise: Hands-on experience evaluating Large Language Models (LLMs) for quality response, including familiarity with GPT-like models and AI evaluation frameworks.
</li><li>Focus on Delivery: Ability to deliver practical solutions for an active user base, which you are expected to follow-up with enhancements and improvements, as needed.
</li><li>Collaboration &amp; Communication: Excellent communication skills, with the ability to work cross-functionally with product managers, AI/ML engineers, and data scientists.
</li><li>Problem-Solving &amp; Analytical Skills: Strong analytical and problem-solving abilities with a focus on identifying quality gaps and driving improvement.
</li><li>Familiarity with API testing tools (e.g., Postman, SoapUI).
</li><li>Basic knowledge of SQL for database validation.
</li><li>Fluent with automation technologies such as JUnit, Jest, Selenium and Jenkins
</li><li>Experience with developer tools like git, Maven and Eclipse IDE
</li><li>Solid understanding of REST principles
</li><li>Excellent written and verbal communication skills.
</li><li>A related technical degree required.
</li></ul>Preferred Qualifications:
<ul><li>Prior experience in a Data Science or a Machine Learning Science or a Machine Learning Engineering team.
</li><li>Experience in ethical AI practices and evaluating models for interpretability, fairness, bias, and user safety.
</li><li>Strong understanding of public cloud infrastructure - AWS/Azure/GCP; Certification in Salesforce.
</li>Can design, implement, test and deliver AI/ML-based frameworks for highly scalable products. 
<li>
</li></ul> 
Unleash Your Potential
When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
Accommodations
If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form .
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.&amp;#xa;&amp;#xa;The typical base salary range for this position is $172,500 - $260,100 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $207,800 - $285,800 annually.&amp;#xa;&amp;#xa;The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.</div>

Lead Software Engineer - Quality & AI

Attentive.ai

<div>
 
 About Attentive.ai
 
 
 
 Attentive.ai is transforming the field services and construction industries with our flagship AI solution - Beam AI. Our platform empowers businesses to double their bidding capacity and accelerate growth through automation and intelligent insights.
 
 
 More than
 
 1k+ businesses
 
 across the U.S. and Canada already use our products to boost sales velocity and streamline operations. We have raised
 
 $30.5M in Series B funding
 
 , accelerating our mission to make advanced AI tools accessible, practical, and impactful in the real world. We are proudly Backed by Insight Partners, Peak XV (Surge), InfoEdge, Tenacity and Vertex Ventures.
 
 
 
 Position Description
 
 
 
 As an
 
 AI/ML Research Scientist,
 
 you will be an integral part of our AI research team focused on transforming the construction industry through cutting-edge deep learning, computer vision and NLP technologies. You will contribute to the development of intelligent systems for automated construction take-off and estimation by working with unstructured data such as blueprint, drawings (including SVGs), and PDF documents.
 
 
 In this role, you will support the end-to-end lifecycle of AI-based solutions &mdash; from prototyping and experimentation to deployment in production. Your contributions will directly impact the scalability, accuracy, and efficiency of our products.
 
 
 
 Roles &amp; Responsibilities
 
 
 
 <ul>
 <li>
 Build and deploy ML models for parsing and reasoning over construction blueprint PDFs - working with image, text and vector graphics modalities
 </li>
 <li>
 Design data pipelines for training, validation, and continuous improvement.
 </li>
 <li>
 Improve model accuracy, latency, and scalability for production workloads.
 </li>
 <li>
 Contribute to system architecture decisions for ML deployment and monitoring.
 </li>
 <li>
 Collaborate with cross-functional teams including software engineers, ML researchers, and product teams
 </li>
 <li>
 Write clean, scalable, and production-ready code
 
 
 </li>
 </ul>
 
 Skills &amp; Requirements
 
 
 
 <ul>
 <li>
 3&ndash;5 years of experience in applied AI/ML and research, preferably with focus on computer vision.
 </li>
 <li>
 PhD or Master's degree in deep learning, coupled with research experience focused on image modalities.
 </li>
 <li>
 Experience working with document understanding, OCR pipelines, or structured extraction systems is a plus.
 </li>
 <li>
 Deep understanding of unsupervised learning techniques like clustering, dimensionality reduction, and representation learning.
 </li>
 <li>
 Proficiency in Python and ML frameworks such as PyTorch, OpenCV, TensorFlow, and HuggingFace Transformers.
 </li>
 <li>
 Hands-on experience with model optimization techniques (e.g., quantization, pruning, knowledge distillation)
 </li>
 <li>
 Familiarity with LLM based systems and architectures
 </li>
 <li>
 Comfortable working in a fast-moving, ownership-driven environment.
 
 
 </li>
 </ul>
 
 Why Work With Us?
 
 
 
 <ul>
 <li>
 Be part of a visionary team building a first-of-its-kind AI solution for the construction industry.
 </li>
 <li>
 Exposure to real-world AI deployment and cutting-edge research in vision and multimodal learning.
 </li>
 <li>
 Culture that encourages ownership, innovation, and growth.
 </li>
 <li>
 Opportunities for fast learning, mentorship, and career progression.
 </li>
 </ul>
</div>

AI/ML Research Scientist

Explore 174+ Ai programer in San Francisco this March. Find roles across top companies and apply now to boost your career.