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ai engineer learn engine intelligence optimization

Hellyeah AI

AI Engineer - Learn Engine: Intelligence &amp; OptimizationLocation: San Francisco HQ; ShanghaiAddress: San Francisco, CaliforniaEmployment Type: Full timeLocation Type: HybridDepartment: EngineeringCompensation: San Francisco $200K - $1M + 0.5% - 3% equityBuild the brain of an autonomous growth OS. The system you create will manage millions in ad spend and get measurably smarter with every dollar. This is the moat: every competitor has humans optimizing campaigns manually. You are building the intelligence layer that compounds. The Platform engineer creates the tools; you create the decisions. Together you build something nobody else has.Must Have- Has built recommendation, optimization, or decision systems where outputs improve future inputs.- Strong statistical reasoning and experimentation judgment under noisy real-world data.- Strong LLM orchestration or agent-system experience for reasoning over campaign context.- Can design optimization policies, scoring systems, or automated recommendation loops.- AI-first development workflow and ability to ship production systems quickly.Nice to Have- Ad-tech optimization patterns: bid management, budget allocation, ROAS optimization.- Reinforcement learning experience.- Hyperparameter optimization experience.- Model fine-tuning experience.- Experience building agent-driven automation where LLM agents take actions.- Background in growth engineering, performance marketing, or data science.- Experience with Mastra or similar agent orchestration framework.What You Will OwnOwn the intelligence and optimization layer of Learn Engine. Build recommendation engines for bid changes, budget reallocation, pause/boost decisions, and postback optimization. Turn SSOT campaign data into high-quality optimization guidance and closed-loop decision systems. Define how the system learns from outcomes and continuously improves campaign strategy over time. This role owns decision quality, optimization policy, and learning loops, not platform plumbing or simulator infrastructure.Pay: $200,000.00 - $1,000,000.00 per yearWork Location: In person

AI Engineer - Learn Engine: Intelligence & Optimization

SyntheticFi

<div>
 
 About SyntheticFi
 
 
 
 SyntheticFi is a fast-growing FinTech startup redefining how financial advisors and their clients access sophisticated lending products. We are a team of engineers and financial experts. Our mission is to make institutional-grade borrowing strategies accessible at scale through innovative products powered by box spreads. We work with financial advisors (Registered Investment Advisors, RIAs) to provide our solutions to clients, usually high-net-worth individuals.
 
 
 Since launch, we&rsquo;ve sustained 20%+ month-over-month growth, become a category leader, and raised funding from Y Combinator and leading investors in the WealthTech industry.
 
 
 
 About The Role
 
 
 
 As our Technical Content Writer, you will create clear and engaging content across marketing materials, blog articles, sales collaterals, product and operational documentation, FAQs, social media, and other formats. You must have the ability to explain complex information clearly and practically. While we do not require financial knowledge to start with, you will become an expert on our product, so you must be curious about finance and FinTech.
 
 
 We believe content is a core part of our product, and we expect you to apply product development methods. You will build and own a content engine that combines user research, writing, feedback, and iteration.
 
 
 Location: In-person in San Francisco OR Remote
 
 
 
 About The Team
 
 
 
 You&rsquo;ll work directly with company leadership, financial advisors, their clients, and other internal teams to help shape how sophisticated financial concepts and operational details are communicated to the market. We&rsquo;re a small, highly collaborative team that values ownership, curiosity, execution quality, and rapid iteration. This is an opportunity to join early, build a content engine from the ground up, and have a direct impact on company growth.
 
 
 
 About You
 
 
 
 You have exceptional writing skills and a proven ability to turn complex ideas into clear, engaging content.
 
 
 You have experience in product and project management, and you are especially familiar with structuring and managing the Discovery&ndash;Development&ndash;Feedback&ndash;Iteration cycle.
 
 
 You&rsquo;re naturally curious, enjoy learning new industries, and can quickly develop expertise in highly technical subject matter.
 
 
 You&rsquo;re based in the United States and excited to work remotely with a fast-growing startup.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Collaborate cross-functionally with go-to-market teams, engineering, and operations to learn and stay up-to-date about SyntheticFi product features and procedures.
 </li>
 <li>
 Learn complex financial products and translate them into clear, engaging content
 </li>
 <li>
 Create content across multiple channels, including newsletters, blogs, social media, product documentation, video tutorials, FAQs, etc.
 </li>
 <li>
 Lead and manage the content development cycle; partner with external users and internal stakeholders to discover what content is required, develop the content, gather feedback, and continuously improve
 </li>
 <li>
 Conduct user research to identify content opportunities
 </li>
 <li>
 Own the full content lifecycle from research and planning to writing, publishing, and optimization
 </li>
 <li>
 Leverage AI design tools (e.g., Claude, Canva) to accelerate content production while maintaining quality and accuracy
 
 
 </li>
 </ul>
 
 Must-Haves
 
 
 
 <ul>
 <li>
 Exceptional writing and communication skills
 </li>
 <li>
 Proven ability to take complex topics and distill them into clear, concise, and engaging content
 </li>
 <li>
 Ability to ramp quickly on complex financial concepts and develop sufficient domain expertise to create technically accurate content&middot;
 </li>
 <li>
 Has personally executed the Discovery&ndash;Development&ndash;Feedback&ndash;Iteration cycle, and can own that process end-to-end
 </li>
 <li>
 Strong portfolio demonstrating real content production experience across both long-form and short-form formats
 </li>
 <li>
 Willing to learn and leverage AI tools to enhance research, design, and execution while maintaining ownership of quality and accuracy
 </li>
 <li>
 Produces content that sounds thoughtful, human, and authentic, not generic or AI-generated
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience in financial services / FinTech / WealthTech, or the financial advisor ecosystem.
 </li>
 <li>
 Experience with large information architecture projects
 </li>
 <li>
 Experience working in hyperscaling startups
 </li>
 <li>
 Experience with SEO, GEO, and content optimization
 
 
 </li>
 </ul>
 
 What's Great About This Job?
 
 
 
 <ul>
 <li>
 Have full agency on our content engine with full company resources as support; own the entire content lifecycle, from research and strategy to writing, publishing, and optimization
 </li>
 <li>
 Work directly with company leadership and users at all levels
 </li>
 <li>
 Have a visible impact in a small, fast-growing company where your work directly influences growth and product adoption
 </li>
 <li>
 Full suite of benefits across 401K plans, Healthcare Insurance, Dental, Vision
 </li>
 <li>
 Compensation:
 
 
 </li>
 </ul>
 Base Salary + Bonus + Equity
 
 
 Base Salary: $85,000 - $125,000
 
 
 Bonus: 10% of base salary
 
 
 Equity: 0.1% - 0.4%
 
 
 <ul>
 <li>
 Candidates must already be authorized to work in the United States. We may support continued work authorization for existing H-1B or O-1 holders, but we do not sponsor initial U.S. work authorization, including F-1 CPT, F-1 OPT, STEM OPT, or new H-1B petitions.
 </li>
 </ul>
</div>

Technical Content Writer

Google

<div>Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. 
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Sunnyvale, CA, USA.<h3 class="jobSectionHeader">
Minimum qualifications:</h3><ul>
<li>Bachelor's degree or equivalent practical experience. 
</li>
<li>8 years of experience in software development. 
</li>
<li>5 years of experience testing, and launching software products. 
</li>
<li>5 years of experience with full stack development, across back-end such as Java, Python, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.</li>
<li>Experience integrating generative AI tools or LLM interfaces into workflows.</li>
<li>Experience in software engineering, generative AI agent, and cross-functional collaboration.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Master&rsquo;s degree or PhD in Engineering, Computer Science, or a related technical field. 
</li>
<li>8 years of experience with data structures/algorithms.</li>
<li>3 years of experience in a technical leadership role leading project teams and setting technical direction. 
</li>
<li>3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.</li>
<li>Experience with data engineering/large data set transformation and curation.</li>
<li>Experience with C++.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

The Cloud Optimize team provides cost and performance optimization to Google Cloud Platform (GCP) customers. To do this we rely on a unique set of data and pipelines from other Cloud Products across GCP. You will help lead the efforts to envision these datasets, join with existing datasets, and provide the data to all first-party and third-party agents who need them. 
Optimization spans cost, performance, and capacity for projects and applications developed on GCP. Our outlook is to help developers autonomously optimize their applications for cost, performance, and capacity. We do this by developing agent skills and tooling for use with Gemini models.
Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
 
 
US: $207000 - $301000 (USD) + 20% bonus target + equity + benefits 
 
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Provide technical leadership on high-impact projects. 
</li>
<li>Manage project priorities, deadlines, and deliverables. 
</li>
<li>Design, develop, test, deploy, maintain, and enhance large-scale software solutions. 
</li>
<li>Work with partners across GCP. Develop and launch data pipelines that feed our GCP-native AI Agents. 
</li>
<li>Develop and launch APIs and MCP servers to make our data available to first-party and third-party agents.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Staff Software Engineer, Agent-Centric Data and APIs

Windfall

<div>As a Product Marketing Manager at Windfall, you&rsquo;ll help define how we position our people intelligence and AI capabilities in the market and how our revenue teams tell the Windfall story. You will report to the VP of Marketing and collaborate closely with Sales, CS, and Product to translate product capabilities into compelling narratives and practical go‑to‑market assets.

This role is ideal for a PMM who has already owned launches, messaging, and enablement for a product or segment and wants to extend that scope across multiple verticals and use cases.

We hold true to our core values of: (1) Be an excellent communicator; (2) Operate with transparency; (3) Provide leverage, not optimization; (4) Win When Our Customers Win; (5) Act with integrity and trust.
<h3 class="jobSectionHeader">
Responsibilities:</h3><ul>
<li>Contribute to and maintain core messaging and positioning, ensuring it stays aligned with customer needs and the competitive landscape</li>
<li>Build and update sales collateral: pitch decks, one‑pagers, battlecards, vertical sheets, and objection‑handling guides</li>
<li>Partner with Sales and CS to understand where deals stall and create assets/messaging to unblock them</li>
<li>Support product and feature launches with messaging development, launch briefs, internal comms, and basic measurement</li>
<li>Collaborate on content and campaigns (e.g., webinars, whitepapers, event narratives) by providing POV, messaging, and story arcs</li>
<li>Conduct light competitive research and market scanning, turning insights into actionable guidance for revenue teams</li>
<li>Use AI tools to accelerate drafting, research, and asset iteration while maintaining quality and narrative control</li>
</ul><h3 class="jobSectionHeader">Requirements:</h3><ul>
<li>3+ years minimum of Product Marketing experience at a B2B SaaS company</li>
<li>Demonstrated ability to write clear positioning, value propositions, and sales narratives</li>
<li>Experience creating and iterating on sales collateral with direct feedback from Sales and customers</li>
<li>Comfort working cross‑functionally with Product, Sales, and CS</li>
<li>Strong written and verbal communication skills; confident presenting to internal teams</li>
</ul><h3 class="jobSectionHeader">Preferred Qualifications:</h3><ul>
<li>Experience in GTM data, sales intelligence, or BI tools</li>
<li>Exposure to one or more of Windfall&rsquo;s key verticals: nonprofit, financial services, retail, travel &amp; hospitality</li>
<li>Experience with AI tools in your workflow</li>
</ul><div>About Windfall</div>
<div>Windfall is a people intelligence and AI company that gives go-to-market teams actionable insights. By democratizing access to people data, organizations can intelligently prioritize go-to-market resources to drive greater business outcomes. Powered by best-in-class machine learning and artificial intelligence, Windfall activates insights into workflows that engage the right people for each respective organization. More than 1,500 data-driven organizations use Windfall to power their business. For more information, please visit www.windfall.com.</div>
<div></div>
<div>We comply with CCPA. For more information on how we comply, review our privacy notice.</div>
<div></div>
<div>Windfall is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.</div>
<div></div>
<div>We may use AI tools to assist parts of the hiring process, such as reviewing applications or analyzing resumes. These tools assist our team and do not replace human judgment. Final hiring decisions are made by people.</div></div>

Product Marketing Manager

MetaVoice

<div>
 
 At MetaVoice, our goal is an
 
 AI for voice conversations that's as natural as talking to a person.
 
 
 
 
 
 
 Today's voice AI fails at real-world conversations. It&rsquo;s slow, turn-based like a walkie-talkie, breaks with interruptions, and doesn&rsquo;t understand emotion.
 
 
 
 
 
 Developers can't build compelling experiences and users disengage. This limits voice AI to simple receptionist tasks and basic customer support, blocking meaningful services (sales, therapy, coaching) where dialogue and emotional intelligence matter most. Scaling current tech does not work.
 
 
 
 
 
 We're building voice AI that's as natural as talking to a person. Our approach is a duplex speech-to-speech model that learns conversational behaviour directly from data.
 
 
 
 
 
 MetaVoice is founded by:
 
 <ul>
 <li>
 Sid, founding engineer at Wayve.ai ( $2.5B+ raised)
 </li>
 <li>
 Vatsal, co-created Alexa&rsquo;s first AI voice.
 </li>
 </ul>
 
 
 
 
 We&rsquo;re passionate about building products people truly love.
 
 
 
 
 
 
 The role
 
 
 
 This is a founding engineer role owning the ML data &amp; evaluation platform that model development runs on.
 
 
 
 
 
 
 Who we're looking for
 
 
 
 You&rsquo;ve worked on distributed ML infra and understand that model quality is often a data problem. You:
 
 <ul>
 <li>
 Have a track record of taking initiative and learning things quickly.
 </li>
 <li>
 Care deeply about the people using the systems you build, whether they're researchers, operators or customers
 </li>
 <li>
 Have built something yourself (startup, side project, etc) or worked in an early-stage startup
 </li>
 </ul>
 
 
 
 
 
 What you've done
 
 
 <ul>
 <li>
 Built distributed ML data pipelines to generate datasets for training and evaluation, including curation, sampling and slicing.
 </li>
 <li>
 Built and operated MLOps infrastructure to train, evaluate and serve ML models, including versioning, orchestration and observability.
 </li>
 <li>
 Built eval systems to measure model quality and catch regressions.
 </li>
 <li>
 Developed internal tools and workflows for researchers and operators to explore data and iterate fast.
 </li>
 </ul>
 
 Strong plus:
 
 <ul>
 <li>
 Designed data flywheels: automated data collection and model update loops.
 </li>
 <li>
 Designed evaluation frameworks: automated or human-in-the-loop
 </li>
 <li>
 Experience with speech, audio, or conversational datasets
 </li>
 </ul>
 
 
 
 
 
 What we offer
 
 
 <ul>
 <li>
 Change the world (when we succeed)
 </li>
 <li>
 Environment to do the best work of your life.
 </li>
 <li>
 Small, humble and talent dense team.
 </li>
 <li>
 Opportunity to make cutting-edge research work in real-world scenarios.
 </li>
 <li>
 Work with 100+ TBs of data and 10B+ parameter models.
 </li>
 </ul>
 
 
 
 
 
 Culture
 
 
 <ul>
 <li>
 We're an in-person team in San Francisco &amp; love working together. It helps us learn from one another and make decisions quickly.
 </li>
 <li>
 We ship fast &amp; obsess over making customers happy.
 </li>
 <li>
 We offer high autonomy, allowing everyone to do their best work.
 </li>
 </ul>
 
 
 
 
 
 Compensation &amp; Benefits
 
 
 <ul>
 <li>
 Significant equity as a founding team member.
 </li>
 <li>
 $180K-300K base.
 </li>
 <li>
 Immigration support, we are immigrants ourselves.
 </li>
 <li>
 Fully covered medical, dental, and vision insurance
 </li>
 </ul>
 
 
 
 
 
 Interview Process
 
 
 
 We move with speed, and aim to go from first interview to offer within a week.
 
 <ul>
 <li>
 
 Vibe check, 30 mins:
 
 chat with one of the founders about the mission, product and your background
 </li>
 <li>
 
 Technical Interview: 30 mins
 
 </li>
 <li>
 
 Culture interview: 30 mins
 
 </li>
 <li>
 
 Onsite co-work:
 
 Spend half a day with us. We'll build and iterate on a problem together.
 </li>
 </ul>
 
 
</div>

ML Platform Engineer (Data & Evals)

<div>Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.<h3 class="jobSectionHeader">
Minimum qualifications:</h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience. 
</li>
<li>8 years of experience with software development. 
</li>
<li>7 years of experience leading technical project strategy, ML design, and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).</li>
<li>5 years of experience in a technical leadership role.</li>
<li>5 years of experience in a people management or team leadership role.</li>
<li>2 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal etc.) or with GenAI-related concepts.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Master&rsquo;s degree or PhD in Engineering, Computer Science, or a related technical field. 
</li>
<li>5 years of experience working in a complex, matrixed organization. 
</li>
<li>Experience in building and deploying Agentic AI systems.</li>
<li>Experience in security domains.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started - and as a manager, you guide the way. 
 
With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally. 

Our team is at the forefront of revolutionizing Google Security Operations (SecOps) through the power of artificial intelligence. We are developing a Security Agentic Platform to enable the development of first-party and third-party security agents to deliver a proactive, intelligent, and automated Agentic Security Operations Center (SoC).
 
 
In this role, you will lead a team of talented engineers in building the next generation of Security Agentic AI platforms and systems that will protect major organizations worldwide.
Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
 
 
US: $262000 - $365000 (USD) + 25% bonus target + equity + benefits 
 
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Guide, mentor, and grow a team of engineers focused on developing and deploying agentic AI for security that will power the Google Unified Security products.</li>
<li>Manage the technical goal and strategy for the Security Agentic AI, ensuring alignment with the broader security teams.</li>
<li>Collaborate with cross-functional engineering teams along with product management, data science, and security engineering to define product requirements and roadmaps, and deliver features.</li>
<li>Oversee the end-to-end development lifecycle, from ideation and design to implementation, testing, and deployment of AI-driven agentic security solutions.</li>
<li>Foster a culture of innovation and continuous improvement, staying abreast of the latest advancements in AI, machine learning, and cybersecurity.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Senior Software Engineering Manager, Agentic Platform, Cloud Security

Apple

The Apple Services Engineering AI/ML organization is hiring a Machine Learning Engineer to join the Search team for Video catalog. 
 
Our team builds the core intelligence that powers search discovery experiences in the Apple TV App, Siri, and Spotlight cross platforms, helping users effortlessly find and enjoy the content they love. We are a collaborative, high-impact team that values innovation, craftsmanship, and end-to-end ownership from idea to launch. Our systems combine large-scale data, modern retrieval and ranking models, and a deep commitment to user privacy. 
 
Join us, you&rsquo;ll develop scalable systems and machine learning models that drive search relevance, personalization, and understanding of content at scale. Working closely with cross-functional partners in product and design, you&rsquo;ll translate cutting-edge research in advanced machine learning and generative AI into secure and delightful production features used by millions every day. 
 
Description 
 
As a Machine Learning Engineer on the Video Search team, within the Apple Services Engineering AI/ML organization, you will design and deploy large-scale ML systems that power search and discovery across Apple platforms. 
 
You&rsquo;ll apply machine learning, natural language understanding, and generative AI to model user intent and deliver relevant, personalized results. Your work will involve building and optimizing cutting edge data processing, ML models, retrieval pipelines, and ranking systems that operate at global scale and under strict privacy standards. 
 
This is a hands-on role where you will collaborate closely with cross-functional teams to bring advanced ML technologies into production-shaping how users discovery content they love in Apple TV app, cross Apple TV partners on Apple Platforms, also through Siri and Spotlight.&quot;,&quot;responsibilities&quot;:&quot;Solve complex research problems and implement solutions from concept to execution. 
 
Design and implement retrieval and ranking systems using semantics and user context. 
 
Build and deploy ML, NLP and LLM models to improve search relevance and personalization. 
 
Analyze data and model performance to identify opportunities for search quality enhancement. 
 
Develop automated tests for continuous integration and ensure successful production deployment. 
 
Conduct A/B tests to measure search improvements. 
 
Collaborate with cross-functional teams to innovate intelligent video catalog text search. 
 
Enhance search recall and ranking for global Apple devices across all platforms and languages. 
 
Utilize big data tech to evaluate content discovery features. 
 
Ensure systems meet Apple&rsquo;s privacy, efficiency, and user experience standards. 
 
Preferred Qualifications 
 
Experience with search or recommendation systems, and semantic retrieval or vector databases. 
 
Expertise in transformer architectures, embeddings, and retrieval or ranking models. 
 
Experience in applying or fine-tuning LLMs for understanding and generation tasks. Familiarity with prompt design, context management, RAG and Agentic architectures and solutions. 
 
Exposure to evaluation and safety frameworks for LLM-based systems. 
 
Knowledge of reinforcement learning and other modern post training practices for LLMs. 
 
Passion for developing intelligent, human-centered experiences to enhance content discovery. 
 
Minimum Qualifications 
 
Experience in machine learning, NLP, IR, or more recently Large Language Model ( LLMs). 
 
Strong programming skills in Python, Java and Go for building scalable ML systems. 
 
Hands-on expertise in ML libraries such as PyTorch, JAX, TensorFlow for model training and deployment. 
 
Ability to translate product goals into technical solutions, improving user experience. 
 
Strong communication, collaboration, and analytical problem-solving skills. 
 
In-depth knowledge of search and information retrieval fundamentals, including indexing and ranking. Experience with retrieval and ranking algorithms and building big data pipelines using Hadoop, Java, Scala, Spark and more. 
 
Industrial experience in search, classification, recommendation systems, or related fields. 
 
Familiarity with A/B testing and data-driven product development. 
 
Passionate about creating products loved by customers at Apple. 
 
Bachelor&rsquo;s degree or higher (or equivalent practical experience) in Computer Science, Machine Learning, Natural Language Processing, Artificial Intelligence, or a related field. 
 
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.

Machine Learning Engineer, ASE Search Team

Explore 137+ Ai engineer learn engine intelligence optimization in San Francisco this July. Find roles across top companies and apply now to boost your career.