Gate-level SigEM/SEB/FIT CAD Engineer
Apple · Austin, TX · Mid Level · Manufacturing and hardware engineering · posted yesterday
Apple · Seattle, WA · posted 19 days ago
By AtiveSite · Published 07/11/2026 · Updated 08/11/2026 · Every figure is linked to its source below.
| Employer | Apple |
|---|---|
| Location | Seattle, Washington |
| Field | Technology › Data, analytics and AI |
| Level | Mid Level |
| Source category | Data and Analytics |
| Posted | 2026-10-20 (19 days ago) |
| Work arrangement | On-site at the location listed |
| Pay | Not published in the source listing |
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us strengthening each other's ideas. That happens because every one of us believes that we can make something wonderful and share it with the world, changing lives for the better!
In this organization, we work hard to bring the best user experiences powered by Apple Intelligence. Our team is instrumental in powering and enhancing features across a range of Apple products, including Siri, Spotlight, Safari, Messages, and more. We are an Applied ML team pushing the limits of question answering, assistant response ranking, summarization, and search technologies, while also responsible for a production service.
As part of this group, you will be doing large scale machine learning and deep learning research and development to improve Open Domain Question Answering (using both structured knowledge graph data and unstructured web data) and Summarization as well as developing fundamental building blocks needed for Artificial Intelligence. This involves developing sophisticated machine learning and large language models (LLMs) to understand user queries, retrieve and rank relevant documents across multiple sources and synthesize information across documents to provide user with a direct answer that best satisfies their intent and information seeking needs. Additionally, you will research and develop the state-of-the-art LLMs for summarizing personal data such as emails, messages, and notifications.
You will also work with researchers and data scientists to develop, fine-tune, and evaluate domain specific Large Language Models for various tasks and applications in Apple's AI powered products and conduct applied research to transfer the cutting edge research in generative AI to production ready technologies.
Description
In this role, you will work on LLM based question answering and Apple Intelligence features to provide concise, accurate, and grounded information to users to help them complete their tasks quickly on Apple devices.
Your core responsibilities will include:
Designing and developing advanced Reinforcement Learning technologies in the post-training of generative model, and delivering the end-user experience.
Driving cross-functional technical initiatives, collaborating with research, engineering and production teams to translate theoretical advances into deployable systems.
Developing novel and cutting-edge RL algorithms and improving existing ones.
Staying up to date with the latest RL research and integrate best practices into the team's workflow.
* Working on the end-to-end ML lifecycle: algorithm design and implementation, data collection, model training, evaluation, and deployment.
Preferred Qualifications
Deep expertise in reinforcement learning-based post-training on LLM models, reward modeling, RLHF, RLAIF, Chain-of-thought, and agentic AI R&D.
Experienced researcher with publications in areas of machine learning, including natural language processing
Deep understanding of cutting edge RL algorithms and large language model.
Deep understanding in LLM pre-training, post-training.
Strong product intuition and ownership
Excellent communication skills
Minimum Qualifications
1+ years of ML experiences in search, natural language processing/understanding. Conversational AI.
Proven experience for LLM post training, including but not limited to SFT, RLHF, RLAIF, Reward Modeling, Chain-of-thought, agentic LLM.
Hands-on experience building RL pipelines and training agents in simulation or real-world environments.
Experienced researcher in areas of machine learning, including natural language or speech
Growth mindset and ability to learn new technologies
MS or Ph.D. in Computer Science, Machine Learning with a specialty in reinforcement learning, or a related field
Pay & 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 $142,300 and $263,300, 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.
Field: Technology Sub-niche: Data, analytics and AI All jobs at Apple Jobs in Washington Jobs in Seattle, WA Seattle city guide Washington state guide King County economy
View this job and apply on The Muse →
You apply on The Muse or on the employer's page; AtiveSite does not receive or process applications and is not affiliated with The Muse. The description above is shown as the source published it.
This is a Mid Level role in the Technology field (Data, analytics and AI) at Apple. Mid-level roles usually expect some years of relevant experience and the ability to work with limited supervision.
We could not match this job title to one occupation in the official wage statistics, so no pay estimate is shown. Pay is not in the source listing; ask the employer for the range and compare in the 240 job niches.
Estimate for a wage earner: 2026 federal brackets and standard deduction (IRS), Social Security 6.2% up to $184,500, Medicare 1.45% (+0.9% above $200,000 single / $250,000 married), and a state rate you set; set your own state tax rate. It ignores credits, pre-tax deductions, local taxes and benefits. Sources: IRS: tax year 2026 inflation adjustments · SSA wage base per Federal Register notice 2025-19763.
This is editorial guidance, not information from the employer.
Know your rights as a candidate and an employee:
The job is in Seattle, WA. Below is what the official statistics say about living and working there.
How Seattle compares. Among the 80 largest places in Washington, Seattle is #1 by population, #76 for homeownership (#1 = highest), #8 for college degrees (#1 = most), #8 for remote work (#1 = most). Its county, King County, is #1 of 39 counties for average pay ($132,279).
Seattle has 754,195 residents (ACS 2020–2024), about 9.6% of the population of Washington. It covers 84 square miles of land, which works out to roughly 8,979 people per square mile. The median age is 35.6, 7% younger than the state median (35.6 against 38.3).
The median gross rent is $2,030 a month (rent plus utilities), 15% above the state median ($2,030 against $1,760). Over a year that is 19.7% of the median household income. US housing guidance treats housing as affordable when it takes 30% of income or less, so the typical household is under that line. The median home value is $938,600, which is 7.6 times the median household income ($123,860); a ratio above 5 usually means buying is out of reach without savings or a second income. 43.7% of households own their home, 31% below the state average (43.7% against 63.8%). A low ownership share points to a rental-heavy market with more apartments and shorter stays.
The Seattle-Tacoma-Bellevue, WA metropolitan area has 2,086,210 jobs in the BLS wage survey, and the median pay across all occupations is $72,610 a year, 42% above the national median ($72,610 against $50,980). The biggest occupation groups are office and administrative support (212,900 jobs, median $59,660); business and financial operations (201,160 jobs, median $101,950); computer and mathematical (194,970 jobs, median $156,000). The area is most specialised in computer and mathematical (2.8 times) and architecture and engineering (1.4 times), where the share of workers is well above the national share. The best-paying groups with at least 5,000 jobs are management ($168,110) and computer and mathematical ($156,000). In 2026M09 the unemployment rate of King County was 4.8%. 74.0% of residents aged 16 and over are in the labour force. The city lies in King County; its jobs, pay by industry and GDP are on the county page.
Among workers, 36.6% drive alone, 11.9% use public transit, 8.1% walk, 34.8% work from home. 13.9% of workers commute 45 minutes or more, 18% below the state average (13.9% against 16.9%). Remote work is more common than in the state as a whole, which widens the set of employers a resident can work for without moving.
68.5% of adults aged 25 and over hold a bachelor's degree or higher, 73% above the state share (68.5% against 39.6%). 20.1% of residents were born outside the United States, 31% above the state share (20.1% against 15.4%). The poverty rate is 9.9%, about the same as the state rate (9.9% against 9.9%).
The warmest month is Aug, averaging 65°F (18.3°C), and the coolest is Dec at 39°F (3.8°C). About 1,230 mm (48 inches) of precipitation falls in a year; Nov is the wettest month (188 mm) and Jul the driest (19 mm). These values come from NASA satellite-based climatology on a grid of about 50 km, so they describe the wider area, not a weather station in the city.
Closest cities in this guide: Mercer Island (7 miles, rent 23% higher); Bainbridge Island (7 miles, rent 8% higher); Kirkland (9 miles, rent 18% higher); Bellevue (9 miles, rent 27% higher). Rent differences are against Seattle; use the Compare tab to put any two cities side by side.
Full guide to Seattle →Washington guideAll jobs in Seattle
These links go to official sources and open in a new window. The first one is the government's or company's own site as listed in Wikidata (property "official website"); check it before relying on it.
Places within 50 miles (straight line) of Seattle, WA that have a guide, with what living there costs. No pay estimate is shown because the title did not match one occupation.
| Place ⇅ | Distance from the job city ⇅ | Median rent ⇅ | Median home value ⇅ | Median household income ⇅ | Commute 45+ min ⇅ | Rent as % of occupation pay ⇅ | Open jobs there ⇅ |
|---|---|---|---|---|---|---|---|
| Seattle, WA | 0 mi | $2,030 | $938,600 | $123,860 | 13.9% | n/a | Jobs |
| Mercer Island, WA | 7 mi | $2,502 | $2,000,001 | $219,069 | 8.7% | n/a | — |
| Bainbridge Island, WA | 7 mi | $2,194 | $1,155,900 | $172,188 | 37.2% | n/a | — |
| Kirkland, WA | 9 mi | $2,401 | $1,115,400 | $150,414 | 10.8% | n/a | — |
| Bellevue, WA | 9 mi | $2,572 | $1,340,300 | $165,576 | 11.1% | n/a | Jobs |
| Shoreline, WA | 10 mi | $1,985 | $811,100 | $112,751 | 17.1% | n/a | — |
| Burien, WA | 10 mi | $1,782 | $638,800 | $91,318 | 15.5% | n/a | — |
| Kenmore, WA | 10 mi | $1,949 | $920,800 | $139,764 | 19.3% | n/a | — |
| Tukwila, WA | 10 mi | $1,898 | $489,000 | $78,381 | 14.6% | n/a | — |
| Redmond, WA | 12 mi | $2,409 | $1,167,800 | $162,560 | 9.8% | n/a | Jobs |
| Renton, WA | 12 mi | $1,998 | $672,600 | $100,432 | 22.0% | n/a | Jobs |
| Mountlake Terrace, WA | 12 mi | $2,004 | $667,300 | $107,687 | 17.8% | n/a | — |
| SeaTac, WA | 12 mi | $1,660 | $519,700 | $81,104 | 14.7% | n/a | — |
| Bothell, WA | 13 mi | $2,346 | $925,100 | $140,427 | 16.6% | n/a | — |
| Edmonds, WA | 13 mi | $1,903 | $890,100 | $122,449 | 16.7% | n/a | — |
| Bothell West, WA | 14 mi | $2,511 | $824,900 | $153,449 | 29.0% | n/a | — |
| Lynnwood, WA | 15 mi | $1,742 | $686,900 | $77,704 | 19.6% | n/a | Jobs |
| Sammamish, WA | 15 mi | $2,857 | $1,407,300 | $239,690 | 18.2% | n/a | — |
| Issaquah, WA | 15 mi | $2,590 | $963,000 | $154,669 | 12.8% | n/a | — |
| Fairwood, WA | 15 mi | $2,233 | $733,200 | $122,134 | 28.0% | n/a | — |
We could not match this title to one occupation, so here are the other sub-niches in Technology, where your skills may carry over:
Cybersecurity (366) Software engineering (1880) Cloud, IT and infrastructure (504) Product management (412)
How far Seattle, WA is from the 20 largest US cities, in straight-line miles (not driving distance). Click a column to sort.
| From ⇅ | Straight-line distance (miles) ⇅ | Population of that city ⇅ |
|---|---|---|
| Seattle, WA | 0 mi | 754,195 |
| San Francisco, CA | 684 mi | 830,235 |
| San Jose, CA | 714 mi | 990,138 |
| Los Angeles, CA | 962 mi | 3,857,263 |
| Denver, CO | 1,024 mi | 718,877 |
| San Diego, CA | 1,059 mi | 1,389,526 |
| Phoenix, AZ | 1,108 mi | 1,642,323 |
| Oklahoma City, OK | 1,524 mi | 697,125 |
| Fort Worth, TX | 1,658 mi | 963,194 |
| Dallas, TX | 1,681 mi | 1,307,930 |
| Chicago, IL | 1,732 mi | 2,711,226 |
| Austin, TX | 1,769 mi | 979,539 |
| San Antonio, TX | 1,784 mi | 1,479,835 |
| Indianapolis, IN | 1,869 mi | 885,860 |
| Houston, TX | 1,888 mi | 2,328,253 |
| Columbus, OH | 2,009 mi | 914,802 |
| Charlotte, NC | 2,283 mi | 903,844 |
| Philadelphia, PA | 2,374 mi | 1,579,706 |
| New York, NY | 2,407 mi | 8,483,844 |
| Jacksonville, FL | 2,452 mi | 977,670 |
| City ⇅ | Straight-line distance ⇅ | Open jobs ⇅ |
|---|---|---|
| Bellevue, WA | 9 mi | 75 |
| Redmond, WA | 12 mi | 3 |
| Lynnwood, WA | 15 mi | 3 |
Apple is the employer in this listing. See all its open jobs here →
Company description (from The Muse): Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.
size: Large Size; industries: Consumer Goods & Services, Information Technology, Software, Technology; locations on The Muse: Cupertino, CA.
It is among the 200 largest US-headquartered employers in our list, with about 166,000 employees worldwide (year not stated). Company page with headquarters, state economy and official links →
These links go to official sources and open in a new window. The first one is the government's or company's own site as listed in Wikidata (property "official website"); check it before relying on it.
The employer's profile on The Muse →
What it is like to work at a company (culture, schedules, benefits) is not in the source data, so we do not describe it. Read the description and ask the questions under "How to prepare".
Apple · Austin, TX · Mid Level · Manufacturing and hardware engineering · posted yesterday
Apple · Austin, TX · Mid Level · Manufacturing and hardware engineering · posted 3 days ago
Apple · Austin, TX · Senior Level · Software engineering · posted 3 days ago
Apple · Seattle, WA · Senior Level · Manufacturing and hardware engineering · posted 6 days ago
Apple · Austin, TX · Mid Level · Manufacturing and hardware engineering · posted 6 days ago
Apple · Austin, TX · Senior Level · Software engineering · posted 6 days ago
Apple · Austin, TX · Mid Level · Software engineering · posted 9 days ago
Apple · Austin, TX · Mid Level · Product management · posted 12 days ago
Salesforce · Seattle, WA · Senior Level · Data, analytics and AI · posted yesterday
Salesforce · Bellevue, WA · Senior Level · Data, analytics and AI · posted yesterday
Salesforce · Seattle, WA · Senior Level · Data, analytics and AI · posted 2 days ago
General Motors · Seattle, WA · Mid Level · Data, analytics and AI · posted 2 days ago
Zoom · Seattle, WA · Senior Level · Data, analytics and AI · posted 2 days ago
Zoom · Seattle, WA · Mid Level · Data, analytics and AI · posted 2 days ago
Salesforce · Seattle, WA · Mid Level · Data, analytics and AI · posted 3 days ago
Salesforce · Bellevue, WA · Mid Level · Data, analytics and AI · posted 3 days ago
Uber · Seattle, WA · Senior Level · Cybersecurity · posted yesterday
TikTok · Seattle, WA · Internship · Sales and business development · posted yesterday
TikTok · Seattle, WA · Senior Level · Supply chain and logistics · posted yesterday
TikTok · Seattle, WA · Mid Level · Project management · posted yesterday
Spectrum · Seattle, WA · Senior Level · Account management · posted yesterday
Salesforce · Seattle, WA · Senior Level · Data, analytics and AI · posted yesterday
All Data, analytics and AI jobs → · All Technology sub-niches →
A mid level role in technology (data, analytics and ai) listed 19 days ago. The full description is on this page and on The Muse.
Seattle, WA.
Use the "View this job and apply on The Muse" button. AtiveSite does not receive applications.
The listing does not publish pay, and we could not match the title to one official occupation.
Median rent in Seattle is $2,030 a month and median household income $123,860 (ACS 2020–2024).
It was posted on 2026-10-20 (19 days ago). Jobs older than 90 days are not shown.
Yes: browse data, analytics and ai jobs in Washington.
AtiveSite is not affiliated with or endorsed by The Muse, the employer or any government agency, and does not process applications. Verify every detail with the employer before acting.