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Apple

Senior Machine Learning Engineer, Natural Language Generation

Seattle, WA$175,000 – $308,500Posted 23 days ago

Apply on company site View full job

Why you should apply for a job to Apple:

Ranked as one of the Best Technology Companies in 2020
3.7/5 in overall job satisfaction
3.1/5 in supportive management
66% say women are treated fairly and equally to men
65% would recommend this company to other women
66% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

From our origins in iPhone keyboard input, the Input Experience NLP team has expanded to a broad charter: improve the user experience with robust language understanding and personalized text composition, across languages and Apple platforms. We build the ML models that underlie Summarization, Smart Reply, Writing Tools, and other features deeply integrated into Apple products. Generative AI is a transformative technology that we have only just begun to incorporate into our digital lives, to help everyday people digest the deluge of information they receive and express themselves more clearly. On our team, you will help build the future and have a voice in the shape it takes.

We are looking for a Senior Machine Learning Engineer to own the model quality of Summarization and other core Apple Intelligence features. You will develop the next generation of our ML models, so that they better serve the full range of our customers, across languages, writing styles, and other personal context, in a privacy-preserving way and to Apple's high standards of quality. You will design the architecture of the modeling pipelines that define our slice of Apple Intelligence, driving the direction of our team's efforts to produce user experiences that feel magical. You will join an ambitious, organized, and collaborative team. We're in a unique position to integrate the latest innovations from the ML community and work on features that reach everyday users, including your family and friends. You'll work closely with other teams across Apple, collaborating on human interfaces, user studies, internationalization, ML technologies, system integration, and more.

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 making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something-you'll add something.

Description

As a Senior Machine Learning Engineer on our team, you will be responsible for the definition, design, and quality of increasingly sophisticated AI features that ship to a global audience. You will drive the development of workflows that facilitate efficient data synthesis, data curation, prompt engineering, and model evaluation. Finally, you will contribute to a company-wide effort to build robust modeling processes that optimize our ability to iterate rapidly and continuously deliver improvements to our customers.

Key responsibilities:

* Own the model quality of shipping and unreleased Apple Intelligence features

* Prioritize and drive modeling efforts across multiple fronts

* Analyze user feedback to understand shortcomings of our models and evaluation data

* Define robust evaluation mechanisms to drive data curation, metric calibration, and model hill-climbing

* Research state-of-the-art SFT/PEFT/RLHF/distillation techniques for improving model quality and robustness

* Implement pipelines, experiments, and simulations to assess the value of modeling changes

Preferred Qualifications

History of driving cross-functional collaborations and leading technical efforts

Expertise deploying models on-device, reasoning about latency, activation size, quantization, and distillation

Background in linguistics, fluency in multiple languages, or experience scaling NLP features for global audiences

Minimum Qualifications

MS or PhD in Computer Science or related field, or equivalent practical experience

History of shipping AI features built on language models

Experience building and maintaining model pipelines end-to-end, from data curation/synthesis and LLM judges to post-training

Strong Python programming skills, with experience developing production-quality Python modules

Excellent written and verbal communication skills

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 $175,000 and $308,500, 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.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology: Manufacturing

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