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ai engineering lead

artificial intelligence specialist

Apple

The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. 
 
Data Services provides Data Solutions across Apple is looking for a creative and motivated AI Engineer with excellent problem solving and interpersonal skills. We are seeking a hands-on AI Solutions Engineer with deep technical expertise in Artificial Intelligence and Generative AI who can design, prototype, and implement scalable, high-impact AI solutions. This role blends system architecture, rapid prototyping, and cross-functional execution to shape the next generation of intelligent products. We would love to hear from you if you're enthusiastic, highly motivated, and want to make an impact! 
 
Description 
 
As a strategic and technical leader, you will partner closely with engineers, product managers, product designers, data scientists, and business stakeholders to identify high-value AI opportunities, translate them into scalable architectures, and ensure successful deployment into production environments. The ideal candidate is a proactive self-starter who excels in cross-functional collaboration to empower our Sales and Sales Finance organizations. In addition to deep technical expertise, this role demands exceptional communication and presentation skills. You&rsquo;ll need to translate complex AI concepts for senior leadership, cross-functional peers, and non-technical partners- ensuring clear alignment, strong collaboration, and high-impact delivery. It&rsquo;s a unique opportunity for someone who thrives in a fast-paced environment and takes full ownership of their work from idea to execution.&quot;,&quot;responsibilities&quot;:&quot;Design end-to-end AI solutions with clear business impact, from concept to deployment, with a strong focus on feasibility, scalability, and performance. 
 
Build prototypes to evaluate architecture and modeling approaches, working closely with engineering teams to transition concepts into robust systems. 
 
Guide architectural decisions across LLM applications, multimodal systems, and agentic frameworks. 
 
Assess and integrate open-source tools, orchestration frameworks, context management solutions, and vector databases. 
 
Collaborate with product and business teams to define KPIs and ensure alignment of AI initiatives with strategic goals. 
 
Stay on top of emerging trends in Generative AI, prompt engineering, and agent-based architectures. 
 
Define and advocate for best practices in model serving, integration patterns, and runtime efficiency-not just training ops. 
 
Preferred Qualifications 
 
Experience leading zero-to-one initiatives for AI product development 
 
Familiarity with synthetic data generation, fine-tuning techniques, and performance optimization for large models 
 
Understanding of agent-based interaction patterns, multi-agent communication protocols (e.g., MCP, A2A), and AG-UI concepts 
 
Prior work in designing user-facing AI features or tools; familiarity with frontend integration is a plus 
 
Excellent communication skills with the ability to translate technical concepts into business terms 
 
Ph.D. in Computer Science, AI, or related field, or equivalent industry experience with demonstrated impact in real-world applications 
 
Minimum Qualifications 
 
2+ years industry experience with a Master&rsquo;s in Computer Science, AI, or related field, or equivalent industry experience with demonstrated impact in real-world applications 
 
1+ years plus of experience building AI-powered systems with a strong fundamental grasp of architecture and deployment 
 
Experience designing and delivering NLP or LLM-based systems, with knowledge of multi-modal and agentic AI frameworks 
 
Proficiency with Python to use ML libraries (e.g., PyTorch, TensorFlow, Transformers), vector search engines (e.g., FAISS, Weaviate or similar) and vector databases (e.g., Milvus, Vespa, or similar) 
 
Experience developing cloud platforms solutions (e.g., AWS, GCP, or public cloud, etc.) 
 
Hands-on experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex or similar), containerization (Docker, Kubernetes or similar), and scalable APIs 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

AI Engineer, AI & Data Platforms (AiDP)

Hex Technologies

SF or NYC
 About the role
 
Hex is an AI-powered platform for modern Data Science and Data Analytics workflows. AI Research Engineers at Hex partner with product teams to build industry-leading AI experiences such as the Notebook Agent. In the process, AI Research Engineers will run experiments, fine-tune models, deploy AI infrastructure, and build and maintain experimentation tooling.
 
As an AI Research Engineer partnered with Hex's product teams, your focus will be driving Hex's context engine and pushing forward the capabilities of our Notebook Agent. Built for people doing the most complex and impactful data work in an organization, the Notebook Agent is a highly technical data copilot that writes SQL and python, builds beautiful reports and visualizations, and collaborates with the analyst on new avenues of inquiry. Whether its pushing the frontiers of SQL generation quality or using LLMs to evaluate agent threads, your job will be to enable the data teams that work in Hex to build out highly accurate and curated data experiences for their stakeholders, unlocking the power of data driven decisions for the rest of the business.
 
If you’re a strong builder excited to bring these capabilities to thousands of users, come do it on the best Data Science platform around, with the best user context.
 
We are looking for a senior engineer (from an AI Eng, SWE or MLE background) eager to rapidly expand our capabilities in several greenfield applications. As one of our team’s early hires, you will work on a variety of initiatives including:
 
Building features and experiences from 0 to 1
 Partnering on determining the architecture and stack for our AI-enabled capabilities
 Shipping product experiences that fundamentally change the way that Data Scientists and Analysts operate
 Working at the cutting edge of production AI applications
 
This type of ownership will provide incredible opportunities for personal and professional growth. You will have ample technical and team leadership opportunities, depending on your interests.
 
We aim to deliver AI capabilities that radically accelerate and augment the data science workflow – we’ve got an exciting roadmap and are willing to share more details during the process. We’re particularly interested in candidates who bring inspired excitement about what is possible in this space.
 
We'd love to hear from you if you have: 
Experience getting AI/ML capabilities into production and serving real users – we’re not currently looking for new grad folks.
 A lot of enthusiasm for applications of AI to real business problems.
 Understanding of core MLOps/SW Architecture concepts for modern ML-based applications.
 Ideal candidates are strong on Infra aspects of MLOps as well.
 You’re comfortable working in both Python & JS/TS – it’s okay if you’re only strong in one, but openness to both is important.
 Experimentalist mindset – understanding that quick iteration, and discerning critical thinking, can yield rapid progress on new challenges.
 Interest in the data space, and a love of shipping great products and building tools that empower end users to do more.
 Experience maintaining a high quality bar for design, correctness, and testing.
 Our stack
 
Our product is a web-based notebook and app authoring platform. Our frontend is built with Typescript and React, using a combination of Apollo GraphQL and Redux for managing application state and data. On the backend, we also use Typescript to power an Express/Apollo GraphQL server that interacts with Postgres, Redis, and Kubernetes to manage our database and Python kernels. Our backend is tightly integrated with our infrastructure and CI/CD, where we use a combination of Terraform, Helm, and AWS to deploy and maintain our stack.
 
This is a full-time role based out of either our San Francisco or New York office. Employees are encouraged to come into the office at least twice a week, with Tuesdays and Thursdays being our main in-person days.
 
In addition to our unique culture, Hex proudly offers a competitive total rewards package, including but not limited to, market-benched salary & equity, comprehensive health benefits, and flexible paid time off.
 
The salary range for this role is: $214,000 - $285,000
 
The salary range shown may be a reflection of additional factors such as geographical location and skill ranges/levels we’re open to. Placement in the salary range will be decided upon completion of the interview process, taking into account factors like leaving room for growth, internal fairness & parity, your demonstrated skills, and the depth of your experience. Our Recruiting team will be able to provide more details during the interview process.
 
By submitting an application the candidate consents to the use of their personal information in accordance with the Hex Privacy policy: https://learn.hex.tech/docs/trust/privacy-policy.
 
About Hex
 
Hex is growing our team of builders on a mission to make everyone a data person. Our platform solves key pain points with today's data and analytics tooling, and empowers anyone to explore data using natural language, with or without code, on trusted context. Thousands of customers like Ramp, Figma, Stubhub, Anthropic, and Gamma love Hex for our beautiful UI, agentic superpowers, and boundless flexibility.
 
Hex has raised over $100M from leading investors like Sequoia, a16z, Snowflake and Amplify. With office hubs in San Francisco and New York, as well as remote team members throughout the US and UK, we're a high-agency team that ships fast and has fun doing it. Check out our Intro to Hex video and employee handbook to learn more about what it's like to work at Hex.

AI Research Engineer

Prolific Academic Ltd

<div><h2 class="jobSectionHeader">Computer Sciences - Graduates - AI Training</h2>
<h4 class="jobSectionHeader">About Prolific</h4>

Prolific is not just another player in the AI space &ndash; we are building the biggest pool of quality human data in the world.

Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.
<h4 class="jobSectionHeader">
The role</h4>

We're looking for Computer Science Specialists to join our Expert Network to help train and evaluate cutting-edge AI models. If you have a background in CS research or technical analysis, we'll send you a quick 10- to 15-minute test to assess your skills. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to help AI understand and summarize complex scientific data.

Researchers looking for your skills tend to pay up to $60/hr, depending on skills and experience level. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter.
<h4 class="jobSectionHeader">
What you'll bring</h4>
<ul><li>Educational Background: at minimum, a BSc (Bachelor of Science) in Computer Science or a closely related technical field.</li>
<li>Technical Literacy: ability to interpret research papers, understand complex algorithms, and review code logic.</li>
<li>Analytical Mindset: high level of cognitive competency with a sharp eye for technical hallucinations or logical flaws.</li>
<li>Professional Verification: a valid LinkedIn profile to verify your degree and background during the screening process.</li>
<li>A PayPal account to receive payment from our clients</li>
</ul><h4 class="jobSectionHeader">What you'll be doing in the role</h4>
<ul><li>AI Evaluation &amp; Ranking: comparing multiple AI-generated responses to technical prompts and ranking them based on accuracy, logic, and safety.</li>
<li>Scientific Review: reviewing CS research papers alongside AI-generated summaries and graphical abstracts to ensure scientific integrity.</li>
<li>Fact-Checking: identifying inaccuracies where the AI has misinterpreted technical data, formulas, or research findings.</li>
<li>RLHF (Reinforcement Learning from Human Feedback): providing the human &quot;ground truth&quot; to help models align with professional standards in software engineering and data science.</li>
<li>Code &amp; Logic Verification: auditing AI-generated code snippets or architectural diagrams for structural and functional correctness.</li>
</ul><h4 class="jobSectionHeader">Key Technologies</h4>
<ul><li>Generative AI &amp; LLMs: training the next generation of technical and reasoning models.</li>
<li>Technical Documentation: working with research papers, code repositories, and data visualizations.</li>
<li>Verification Frameworks: using structured evaluation rubrics to audit AI performance.</li>
</ul><h4 class="jobSectionHeader">Why Prolific is a great platform to join as a Participant</h4>

Joining our Expert Network will give you the chance to influence the AI models of the future using professional legal expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.

We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.
<div>
We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation &ndash; one that reflects the breadth and the best of humanity.</div>
<h4 class="jobSectionHeader">Links to more information on Prolific</h4>

Website

Youtube
<h4 class="jobSectionHeader">
Privacy Statement</h4>

By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.</div>

Computer Sciences - Graduates - AI Training - San Francisco, US

Handshake

<div>
 
 About Handshake
 
 
 
 Handshake is the career network for the AI economy. 20 million knowledge workers, 1,600 educational institutions, 1 million employers (including 100% of the Fortune 50), and every foundational AI lab trust Handshake to power career discovery, hiring, and upskilling, from freelance AI training gigs to first internships to full-time careers and beyond. This unique value is leading to unparalleled growth; in 2025, we tripled our ARR at scale.
 
 
 
 Why Join Handshake Now
 
 
 
 <ul>
 <li>
 Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel
 </li>
 <li>
 Work hand-in-hand with world-class AI labs, Fortune 500 partners and the world&rsquo;s top educational institutions
 </li>
 <li>
 Join a team with leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, among others
 </li>
 <li>
 Build a massive, fast-growing business with billions in revenue
 
 
 </li>
 </ul>
 
 About The Role
 
 
 
 Untangling the science of Data &amp; Evaluations for Frontier AI
 
 
 Thanks to our massive network of the world&rsquo;s top experts in all domains, the demand for human data from Handshake AI has exploded (with revenue growing from 0 to well over 9-figures in the first year and growth only accelerating since). Now the world&rsquo;s top AI Labs are looking to Handshake for advice on how to leverage human expertise to make frontier models more useful for everyone, and we are forming a leading research group to advance the science of Data and Evaluations for AI.
 
 
 
 You Will
 
 
 
 <ul>
 <li>
 Publish papers, open source software, and do bleeding-edge open science on AI agents, LLMs and frontier multimodal models, RL environments, post-training.
 </li>
 <li>
 Work with all of the top AI Labs in the world and understand/shape what their researchers are prioritizing (uniquely, you get to work on research at a company whose customers are top AI researchers)
 </li>
 <li>
 Create public benchmarks that meaningfully measure AI progress, leveraging thousands of the world&rsquo;s top experts in different domains from the Handshake network to construct the most representative/high-quality benchmark.
 </li>
 <li>
 Shape the frontier of AI through high-impact research on topics that matter: how to measure/value data, how to effectively evaluate AI, what shapes of data are most effective as AI advances, what makes effective training/RL environments, post-training data recipes.
 
 
 </li>
 </ul>
 
 Desired Capabilities
 
 
 
 <ul>
 <li>
 Based in San Francisco, and excited to work in the office.
 </li>
 <li>
 Ph.D. in ML/AI, data science, or related fields.
 </li>
 <li>
 Publications in top AI/ML venues like NeurIPS, ICML, ICLR.
 </li>
 <li>
 Builders who love to tinker with LLMs/Agents and ship high-quality software, benchmarks/datasets, research, blogs.
 
 
 </li>
 </ul>
 
 Perks
 
 
 
 Handshake delivers benefits that help you feel supported&mdash;and thrive at work and in life.
 
 
 
 
 The below benefits are for full-time US employees.
 
 
 
 
 🎯
 
 Ownership:
 
 Equity in a fast-growing company
 
 
 💰
 
 Financial Wellness
 
 : 401(k) match, competitive compensation, financial coaching
 
 
 🍼
 
 Family Support:
 
 Paid parental leave, fertility benefits, parental coaching
 
 
 💝
 
 Wellbeing:
 
 Medical, dental, and vision, mental health support, $500 wellness stipend
 
 
 📚
 
 Growth:
 
 $2,000 learning stipend, ongoing development
 
 
 💻
 
 Remote &amp; Office:
 
 Internet, commuting, and free lunch/gym in our SF office
 
 
 🏝
 
 Time Off:
 
 Flexible PTO, 15 holidays + 2 flex days, winter #ShakeBreak where our whole office closes for a week!
 
 
 🤝
 
 Connection:
 
 Team outings &amp; referral bonuses
 
 
 Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers.
 
 
 Compensation Range: $320K - $365K
 
 
</div>

AI Research Scientist

Decagon

<div>
 
 About Decagon
 
 
 
 Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences.
 
 
 Our technology enables industry-defining enterprises like Avis Budget Group, Block&rsquo;s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel.
 
 
 We&rsquo;re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We&rsquo;re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others.
 
 
 We&rsquo;re an in-office company, driven by a shared commitment to excellence and velocity. Our values &mdash; Just Get It Done, Invent What Customers Want, Winner&rsquo;s Mindset, and The Polymath Principle &mdash; shape how we work and grow as a team.
 
 
 
 About The Team
 
 
 
 Founder&rsquo;s Office is where the hardest problems land, and we help solve them for the entire business. We are a small team of former founders, operators, and investors embedded directly with leadership, taking on work of any kind, no matter how different or unique, to improve business operations. Strategy, corporate development, pricing, special projects, and analytics are a few examples. We are analytical and critical cross-functional thinkers from a diverse set of multidisciplinary backgrounds. If it is ambiguous, urgent, or high-stakes, we are probably already thinking about it.
 
 
 
 About The Role
 
 
 
 We are looking for someone to help us accelerate using AI across
 
 every
 
 facet of the company. You are AI-pilled and will not stop until everyone else at the company is too.
 
 
 You wear many different hats: vibe coder, strategist, data analyst, product manager, operations. We believe in building together, quickly.
 
 
 This is a fully in-office role based in our San Francisco office 5 days a week.
 
 
 
 In this role, you will
 
 
 
 <ul>
 <li>
 Build AI automation agents to make us efficient: design and deploy agents that translate company strategy and operational processes, into automated workflows, custom internal tools, and programmatic systems. Specifically: help automate manual sales processes, embed AI into growth marketing engines, maximize Claude skills in the post-sales org, and more. Unlock hundreds of Decagon teammates with their &ldquo;aha&rdquo; moment of your product.
 </li>
 <li>
 Build out intelligent solutions to make us more effective: build out an account mapping platform that helps sales and marketing identify the best individuals to target and break into accounts with. Leverage scrapers, search APIs, workflow automation tools, and LLMs to do this effectively, and efficiently.
 </li>
 <li>
 Be the AI Culture Driver: build an AI-native culture for the entire business, by identifying and enabling internal &ldquo;AI champions,&rdquo; and builders. Programmatically define templates and best practices into team norms. Turn them into people who can&rsquo;t live without the automation and will be very unhappy if it is taken away.
 </li>
 <li>
 Build out AI analytics: measure success by going deep into data, specifically around number of hours saved, and additional work delivered as a result of our efficiency and effectiveness gains. Become customer obsessed - customers being our internal stakeholders - and measure their happiness using our tools.
 
 
 </li>
 </ul>
 
 Your background looks something like this
 
 
 
 <ul>
 <li>
 Experience: 1-3 years in a high growth technical environment. Roles that are inherently self-starters, entrepreneurial, or technical are also great fits, looking to make the switch into this new and emerging critical function for all companies.
 </li>
 <li>
 AI prompting foundations: some experience in some form with AI enablement, AI operations, or AI engineering roles. You are generally comfortable prompting your way to solutions, and sometimes needing to get into code / working with APIs, etc.
 </li>
 <li>
 Builder DNA: you are a curious learner and builder, skilled with new AI tools like Claude Code, Cursor, Notion AI, automation tools like Dust, Gumloop, n8n, Zapier, GTM enrichments like Clay and Unify, and search APIs like Exa, Parallel, Browserbase. Some familiarity with SQL, BI, managing data lakehouses, and scraping and scripting from DS notebooks, is a plus.
 </li>
 <li>
 Get it done mentality: a bias toward action and building "v1 MVP" today. You thrive in the ambiguity of a fast-paced AI startup.
 </li>
 <li>
 Strong communications: you can produce clear, concise presentation of information, and influence teams to use your products. You run training sessions that drive impact through leadership and communications, in every gap you find.
 </li>
 <li>
 Ability to manage cross-functional teams: able to work hands-on in workflows across Sales, Post-Sales, Finance, People/HR, Ops, BizOps, Marketing, EPD, and more. It&rsquo;s OK if you haven&rsquo;t done it before.
 
 
 </li>
 </ul>
 
 Compensation
 
 
 
 $150,000 - $215,000 + Equity
 
 
 
 Benefits
 
 
 
 We proudly offer the following benefits for our full-time employees:
 
 
 <ul>
 <li>
 Take what you need vacation policy
 </li>
 <li>
 Medical, Dental, and Vision benefits for you and your family
 </li>
 <li>
 Life Insurance and Disability Benefits
 </li>
 <li>
 Retirement Plan (e.g., 401K, pension)
 </li>
 <li>
 Parental Leave
 </li>
 <li>
 Fertility and family building benefits through Carrot
 </li>
 <li>
 Daily lunches and snacks in the office to keep you at your best
 
 
 </li>
 </ul>
 
 These benefits are described in more detail in Decagon&rsquo;s policies, may vary by location, and can change at any time according to applicable compensation and benefits plans.
 
</div>

AI Transformation Specialist

TechnoSphere, Inc.

<div>
 
 Job Description
 
 
 Mandatory Skills
 
 
 
 
 AI/ML, ML Ops, Java,Python
 
 
 
 
 JD
 
 
 
 
 We are looking for a skilled MLOps Engineer to join our team and help us build, deploy, and maintain robust and scalable machine learning systems. You will be responsible for the full lifecycle of our ML pipelines, from data ingestion to model serving. This is a hands-on role where you will design and implement automated workflows, ensure data quality, and manage model deployments in a production environment.
 
 
 Responsibilities
 
 
 
 
 Data and Feature Pipelines: Design, build, and manage automated data ingestion, transformation, and validation pipelines using services like Kubeflow Pipelines and Vertex AI Pipelines.
 
 
 Feature Engineering: Implement and containerize feature engineering logic for diverse datasets, ensuring reusability and scalability.
 
 
 Data Validation: Integrate and manage data validation processes, including leveraging advanced techniques like AI Agents and the Generative Language API to automatically detect and remediate data quality issues.
 
 
 Model Training and Experimentation:
 
 
 Set up and maintain automated continuous training (CT) pipelines using Vertex AI Pipelines (Schedules) and Cloud Scheduler.
 
 
 Implement experiment tracking to log and compare model parameters, metrics, and artifacts.
 
 
 Configure and execute Hyperparameter Tuning jobs using Vertex AI Training to optimize model performance.
 
 
 Model Management: Establish a robust Model Versioning system to manage and store model artifacts securely in a centralized repository (Cloud Storage).
 
 
 Deployment and Serving:
 
 
 Containerize ML models and their dependencies using Docker and manage images with Artifact Registry.
 
 
 Build and maintain CI/CD workflows for ML models, ensuring seamless and automated deployment.
 
 
 Configure and manage low-latency production serving environments using Vertex AI Endpoints for real-time inference.
 
 
 Qualifications
 
 
 
 
 Strong experience with Google Cloud Platform (GCP) services, specifically in the MLOps and ML domain (Vertex AI, Kubeflow, Cloud Storage, Artifact Registry).
 
 
 Proven ability to design and implement end-to-end ML pipelines for data management, model training, and deployment.
 
 
 Hands-on experience with containerization technologies like Docker.
 
 
 Familiarity with CI/CD practices and pipeline automation.
 
 
 Knowledge of ML frameworks like TensorFlow, and experience with experiment tracking and hyperparameter tuning.
 
 
 Excellent problem-solving skills and a strong understanding of the ML lifecycle.
 
 
 Experience with the Generative Language API (Gemini model) or other AI Agent integrations is a plus.
 
 
 
</div>

AI/ML software developer

Wonderschool

<div>
 
 About Wonderschool
 
 
 
 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.
 
 
 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.
 
 
 
 Role Overview
 
 
 
 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.
 
 
 
 Key Responsibilities
 
 
 
 <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.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <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.
 
 
 </li>
 </ul>
 
 Nice-to-Have Skills
 
 
 
 <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.
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <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.
 
 
 </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.
 
 
 For parents, our marketplace allows parents to easily search for schools, schedule visits, enroll their children, and make payments.
 
 
 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

Explore 146+ Artificial intelligence specialist in San Francisco this May. Find roles across top companies and apply now to boost your career.