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On Device Ai Engineer Jobs

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Today

Audio AI Engineer

Dev Technology Reston, VA

Reston, VA

Today

$80k - $160k/yr Full time Ai Engineer Artificial Intelligence Asr

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Job Description

Dev Technology is building a multilingual audio foundation to power a mobile translation experience that runs performantly on an iPhone. In this onsite role in Reston, VA, you will develop and improve a speech-to-text core, with ownership spanning multilingual ASR data, model adaptation for constrained devices, and reproducible evaluation of real-world quality.

What you’ll do

Ingest, clean, segment, label, and version multilingual audio and transcript datasets, with specific attention to code-switching and borrowed-word behavior across the target language set.
Fine-tune and compress large ASR models to meet iPhone-class memory, latency, and battery constraints while preserving transcription quality, using approaches such as LoRA/QLoRA, quantization, distillation, or other parameter-efficient and size-reduction techniques as needed.
Create model packaging that supports selecting and downloading language-specific weights on demand based on operator context (for example, pulling only Chinese ASR weights for a Chinese-speaking interview).
Build model behavior and evaluation around when to transcribe a borrowed English term as-is versus rendering it via transliteration or a native equivalent in the source language.
Develop reproducible evaluation pipelines that measure word/character error rate, latency, and robustness to factors including accent, noise, speaking rate, and code-switching, and report results against defined success criteria per language and deployment target.
Write clear model cards, dataset documentation, and evaluation write-ups so both technical and non-technical stakeholders can understand model purpose, comparisons, and known risks and limitations.

Requirements

Bachelor’s degree in Computer Science, Data Science, Machine Learning, Computational Linguistics, or a closely related field.
Strong data-engineering experience building production pipelines for large, messy, or unstructured audio and text datasets.
Hands-on experience fine-tuning or adapting speech/audio models using parameter-efficient methods (LoRA, QLoRA, adapters) and/or compression techniques (quantization, distillation, pruning) for constrained hardware.
Practical experience developing and evaluating ASR/speech-to-text models across multiple languages, including error analysis under real-world conditions such as accents, noise, and code-switching.
Strong Python and SQL skills, with experience using tools such as PyTorch, Hugging Face Transformers/PEFT, torchaudio, and librosa.
Experience deploying and monitoring production ML systems, including secure handling of sensitive audio, transcripts, and derived data in a regulated environment.
Ability to explain model behavior, tradeoffs, and limitations to both technical and non-technical stakeholders.

Technologies

Python, SQL, PyTorch
Hugging Face Transformers, PEFT
torchaudio, librosa
LoRA, QLoRA, quantization, distillation, pruning
iPhone, iOS, Swift, AVFoundation

Role scope

This position owns the speech-to-text model: its data, training/adaptation, on-device size and latency, and transcription accuracy across languages.
It does not own iOS application development, translation (source-language-to-target-language), or the Swift/AVFoundation integration layer; those are handled by a separate mobile engineering function, with close collaboration.

Salary and location

USD 80,000 - 160,000 per yearly

Reston, VA (onsite)

Benefits

Generous and flexible time-off policy
Flexible work schedules and telework options, including remote work availability for eligible projects
Career development opportunities: mentorship program, Dev University technical and management training, hands-on learning through DevLab, tuition reimbursement, and paid training opportunities
Industry-leading benefits including a choice of two health plans with dental and vision, flexible spending account, commuter benefits, life insurance, and more
401K matching with a 5% matching contribution
Regular team and company social events including an annual party, happy hours, fitness challenges, and more
Community engagement support, including employer match for donations and time off for volunteer efforts

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2d ago

Robotics AI Engineer

Apple Cupertino, CA

Cupertino, CA

2d ago

$185k - $325k/yr Full time Python Agentic Ai Ai Automation

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Job Description

Apple is hiring a Robotics AI Engineer in Cupertino, CA (onsite) to turn natural user intent into adaptive, real-time behaviors.

Responsibilities

Apply frontier reasoning models to convert user intent into robust closed-loop plans that clarify, adapt, and replan as context changes
Design agent harnesses that ground model reasoning in the user’s context and a structured set of system capabilities
Use multimodal models to interpret intent from audio, text, and vision inputs
Evaluate models by mapping product requirements to appropriate metrics, then use results to identify failures and drive improvements
Fine-tune and distill frontier models into smaller, efficient models for on-device deployment
Deploy and optimize models on Apple silicon for real-time, efficient, interactive performance
Rapidly prototype and assess new AI models, tools, and agent harnesses to advance product capabilities

Requirements

PhD in Computer Science, Machine Learning, or a related field
Experience with model fine-tuning and distillation for efficient on-device deployment
Hands-on experience with inference engines: llama.cpp, vLLM, MLX, or Core ML
Experience building agent harnesses for multi-step, closed-loop reasoning
Track record of shipping products to users
Proficiency in Python and ML frameworks: PyTorch or TensorFlow
BS or MS in Computer Science or Machine Learning
Strong foundation in and deep understanding of modern machine learning methods
Experience training or fine-tuning your own transformer and/or diffusion models
Proficiency using coding agents: Claude Code and Codex
Genuine excitement for experimenting with the latest AI models, tools, and multimodal capabilities

Preferred qualifications

PhD in Computer Science, Machine Learning, or a related field
Experience with model fine-tuning and distillation for efficient on-device deployment
Hands-on experience with inference engines such as llama.cpp, vLLM, MLX, or Core ML
Experience building agent harnesses for multi-step, closed-loop reasoning
Track record of shipping products to users
Proficiency in Python and ML frameworks (PyTorch or TensorFlow)

Technologies

Python
PyTorch
TensorFlow
llama.cpp
vLLM
MLX
Core ML
Claude Code
Codex
Transformer models
Diffusion models
Apple silicon

Education

BS or MS in Computer Science or Machine Learning

Pay & Benefits

Base pay range: $184,700 - $324,800 per year
Apple base pay is determined within a range based on skills, qualifications, experience, and location
Potential for discretionary bonuses or commission, as well as relocation (eligibility may apply)
Comprehensive medical and dental coverage
Retirement benefits
Discounted products and free services
Reimbursement for certain educational expenses, including tuition
Discretionary restricted stock unit awards (eligibility may apply)
Opportunity to become an Apple shareholder through discretionary employee stock programs
Option to purchase Apple stock at a discount via the Employee Stock Purchase Plan (voluntary participation)
Note: Benefits, compensation, and employee stock programs are subject to eligibility requirements and plan terms

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On Device Ai Engineer Jobs

Audio AI Engineer

Robotics AI Engineer

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