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Phd In Linguistics Jobs in California (NOW HIRING)

Apple

ML Safety Engineer

San Francisco, CA · On-site

Minimum Qualifications Advanced degree (MS or PhD) in Computer Science, Software Engineering, or ... Linguistics, Cognitive Science, HCI, Psychology, Social Science, or a related field Preferred ...

Apple Inc.

ML Safety Research Engineer

San Francisco, CA · On-site

$181.10 - $272.10/hr

Advanced degree (MS or PhD) in Computer Science, Software Engineering, or equivalent research/work ... Education in Data Science, Linguistics, Cognitive Science, HCI, Psychology, Social Science, or a ...

Apple

ML Safety Engineer

San Francisco, CA

$184K - $277K/yr

... degree (MS or PhD) in Computer Science, Software Engineering, or equivalent research/work ... Linguistics, Cognitive Science, HCI, Psychology, Social Science, or a related field Pay & Benefits ...

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Phd In Linguistics information

What is the difference between Phd In Linguistics vs Speech-Language Pathologist?

AspectPhd In LinguisticsSpeech-Language Pathologist
Required CredentialsPhD in Linguistics, research experienceMaster's or Doctorate in Speech-Language Pathology, state licensure
Work EnvironmentUniversities, research institutes, language labsHospitals, clinics, schools, private practice
Industry UsageAcademic, research, language technologyHealthcare, rehabilitation, education
Common Search/ComparisonPhd In Linguistics vs Speech-Language Pathologist

While a PhD in Linguistics focuses on language theory, research, and academia, a Speech-Language Pathologist applies clinical skills to diagnose and treat speech and language disorders. Both roles require advanced education, but their work environments and industry applications differ significantly.

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For Phd In Linguistics jobs in California, the most frequently searched job titles are:

What job categories do people searching Phd In Linguistics jobs in California look for?

The top searched job categories for Phd In Linguistics jobs in California are:

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Infographic showing various Phd In Linguistics job openings in California as of August 2026, with employment types broken down into 58% Full Time, 16% Part Time, and 26% Contract. Highlights an 94% In-person, and 6% Remote job distribution.

ML Safety Engineer

Apple

San Francisco, CA • On-site

Full-time

Re-posted 23 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 680 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

Apple Services Engineering (ASE) powers many AI features across App Store, Music, Video and more. We build deeply personal products with the goal of representing users around the globe authentically. We work continuously to avoid perpetuating systemic biases and maintain safe and trustworthy experiences across our AI tools and models.
Description
Our team, part of Apple Services Engineering, is looking for an ML Research Engineer to lead the design and continuous development of automated safety benchmarking methodologies. In this role, you will investigate how media-related agents behave, develop rigorous evaluation frameworks and techniques, and establish scientific standards for assessing risks they pose and safety performance. This role supports the development of scalable evaluation techniques that ensure our engineers have the right tools to assess candidate models and product features for responsible and safe performance.
The capabilities you build will allow for the generation of benchmark datasets and evaluation methodologies for model and application outputs, at scale, to enable engineering teams to translate safety insights into actionable engineering and product improvements. This role blends deep technical expertise with strong analytical judgment to develop tools and capabilities for assessing and improving the behavior of advanced AI/ML models. You will work cross-functionally with Engineering and Project Managers, Product, and Governance teams to develop a suite of technologies to ensure that AI experiences are reliable, safe, and aligned with human expectations.
The successful candidate will take a proactive approach to working independently and collaboratively on a wide range of projects. In this role, you will work alongside a small but impactful team, collaborating with ML and data scientists, software developers, project managers, and other teams at Apple to understand requirements and translate them into scalable, reliable, and efficient evaluation frameworks.
Minimum Qualifications
Advanced degree (MS or PhD) in Computer Science, Software Engineering, or equivalent research/work experience
1+ years of work experience either as a postdoc or in the industry
Strong research background in empirical evaluation, experimental design, or benchmarking
Strong proficiency in Python (pandas, NumPy, Jupyter, PyTorch, etc.)
Deep familiarity with software engineering workflows and developer tools
Experience working with or evaluating AI/ML models, preferably LLMs or program synthesis systems
Strong analytical and communication skills, including the ability to write clear reports
Technical Skills:
Proficiency in Python (pandas, NumPy, Jupyter, PyTorch, etc.).
Experience working with large datasets, annotation tools, and model evaluation pipelines
Familiarity with evaluations specific to responsible AI and safety, hallucination detection, and/or model alignment concerns
Ability to design taxonomies, categorization schemes, and structured labeling frameworks
Analytical Strength: Ability to interpret unstructured data (text, transcripts, user sessions) and derive meaningful insights
Communication: Strong ability to stitch together qualitative and quantitative insights into actionable guidance; strong ability to communicate complex architectures and systems to a variety of stakeholders
Education in Data Science, Linguistics, Cognitive Science, HCI, Psychology, Social Science, or a related field
Preferred Qualifications
Publications in AI/ML evaluation or related fields
Experience with automated testing frameworks
Experience constructing human-in-the-loop or multi-turn evaluation setups
Intermediate or Advanced Proficiency in Swift
Familiarity with RAG systems, reinforcement learning, agentic architectures, and model fine-tuning
Expertise in designing annotation guidelines and validation instruments and techniques
Background in human factors, social science, and/or safety assessment methodologies

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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