On Device Ai

On Device Ai Data Jobs

3 jobs found

Today

Senior Machine Learning Engineer

Motion Recruitment Boston, MA

Boston, MA

Today

Full time Senior Artificial Intelligence Automation

Apply Now

Job Description

Own the full machine learning lifecycle on real medical-device and robotics/automation applications, from sensor data to models running on constrained hardware. This onsite role in Boston, MA 02116 is hands-on (100% hands on) and built around close collaboration across embedded/firmware/software teams, with a strong focus on MLOps, validation, and documentation that supports regulatory-ready work.

What you’ll be doing

Develop and troubleshoot workflows for collecting, cleaning, and organizing sensor data so it is ready for model development and evaluation.
Build and refine ML models for real-time device applications, targeting both performance improvements and reliable operation.
Partner with firmware teams to embed and test AI features on hardware platforms.
Set up and oversee tools for experiment tracking, automate evaluations, and manage deployments.
Analyze model behavior, ensure reliability, and resolve issues to maintain high-quality outputs.

Requirements

5+ years of experience.
Strong proficiency in Python.
Hands-on experience with PyTorch or TensorFlow.
Experience deploying models to edge using TFLite, ONNX, CoreML, TensorRT, or an equivalent stack.
Experience building sensor data pipelines.
Proficiency with MLOps.
Solid software engineering fundamentals.
Proficiency with C or C++.

Helpful experience

Experience with physiological signal processing for medical or wearable applications.
Background in robotics or autonomous systems.
Experience in a startup or small team.
A degree in a relevant field.

Tools and technologies

Python, PyTorch, TensorFlow, TFLite, ONNX, CoreML, TensorRT, MLOps, C, C++

Compensation and benefits

Bonus or Commission eligible
Medical Insurance
Dental Benefits
Vision Benefits
Paid Time Off (PTO)
401(k) (including match, if applicable)

View full job page →

10d ago

Audio AI Engineer

Dev Technology Reston, VA

Reston, VA

10d ago

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

Apply Now

Job Description

Build and optimize a speech-to-text core that powers mobile translation performance on iPhone-class devices.

Responsibilities

Ingest, clean, segment, label, and version multilingual audio and transcript data, with focus on code-switching and borrowed-word behavior across the target language set.
Fine-tune and compress large ASR models to meet iPhone memory, latency, and battery constraints while preserving transcription quality.
Apply parameter-efficient and size-reduction approaches such as LoRA/QLoRA, quantization, distillation, and/or other techniques as appropriate.
Design packaging and on-demand language selection so language-specific weights can be downloaded based on context (for example, selecting Chinese ASR weights when an operator interviews a Chinese speaker).
Build and evaluate decision logic for borrowed English terms: transcribe as-is versus output as transliteration or a native equivalent in the source language.
Create reproducible evaluation pipelines using metrics such as word error rate and character error rate, plus latency and robustness checks (accent, noise, speaking rate, and code-switching).
Communicate results against defined success criteria for each language and deployment target.
Write clear model cards, dataset documentation, and evaluation write-ups for technical and non-technical stakeholders, including what the model does, comparisons to alternatives, and risks/limitations.

Requirements

Bachelor's degree in Computer Science, Data Science, Machine Learning, Computational Linguistics, or a closely related field.
Strong data-engineering background building production pipelines for large, messy, or unstructured audio/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 systems across multiple languages, including error analysis under real-world conditions (accents, noise, code-switching).
Strong Python and SQL skills; experience with PyTorch, Hugging Face Transformers/PEFT, torchaudio, librosa, or comparable tooling.
Experience deploying and monitoring production ML systems, including secure handling of sensitive audio, transcripts, and derived data in regulated environments.
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

Benefits

Generous and flexible time-off policy
Flexible work schedules and telework options, including remote work availability for eligible projects
Career development: mentorship program, Dev University technical and management training, DevLab hands-on learning, tuition reimbursement, and paid training opportunities
Industry-leading benefits including 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 (annual party, happy hours, fitness challenges, and more)
Community engagement: company-wide support activities, employer match for donations, and time off for volunteer efforts

Compensation: USD 80,000 - 160,000 per year.

Location: Reston, VA (onsite).

What this role is (and isn’t):

Owns the speech-to-text model: data, training/adaptation, model size and latency on-device, and transcription accuracy across languages.
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 this role will collaborate with.

Preferred (not required)

Prior exposure to mobile/on-device ML deployment constraints, even without owning the mobile codebase directly.
Experience with agentic or multi-step workflow orchestration involving model outputs, retrieval, or human review.

View full job page →

11d ago

Robotics AI Engineer

Apple Cupertino, CA

Cupertino, CA

11d ago

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

Apply Now

Job Description

Apple is hiring a Robotics AI Engineer (onsite) to turn natural user intent into adaptive, real-time behaviors powered by on-device AI.

Responsibilities

Use frontier reasoning models to translate user intent into robust, closed-loop plans with adaptive clarification and re-planning as context changes
Develop agent harnesses that ground model reasoning in the user’s context and a structured set of system capabilities
Apply multimodal models to interpret user intent from audio, text, and vision
Evaluate models by converting product requirements into the right metrics to identify failures and guide 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 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)
BS or MS in Computer Science or Machine Learning
Strong background in and deep understanding of modern machine learning methods
Experience training or fine-tuning transformer and/or diffusion models
Proficiency using coding agents such as Claude Code and Codex
Genuine excitement for experimenting with the latest AI models, tools, and multimodal capabilities

Technologies

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

Education

BS or MS in Computer Science or Machine Learning

Pay

Base pay range: USD 184,700 - 324,800 per year
Base pay depends on skills, qualifications, experience, and location

Benefits

Comprehensive medical and dental coverage
Retirement benefits
Discounted products and free services
Reimbursement for certain educational expenses, including tuition
Opportunity to become an Apple shareholder through Apple’s discretionary employee stock programs
Eligibility for discretionary restricted stock unit awards
Discounted Apple stock purchase if voluntarily participating in the Employee Stock Purchase Plan
Potential discretionary bonuses or commission payments as well as relocation (eligibility may apply)
Learn more about Apple Benefits

View full job page →

On Device Ai Data Jobs

Senior Machine Learning Engineer

Audio AI Engineer

Robotics AI Engineer

Get On Device Ai Data Jobs alerts