Machine Learning Modeling

Machine Learning Modeling Developer Jobs

5 jobs found

Today

Machine Learning Engineer, Natural Language Understanding, Proactive

Apple Santa Clara, CA

Santa Clara, CA

Today

$150k - $278k/yr Full time Ai Ml Artificial Intelligence Deep Learning

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Job Description

Apple’s On-Device Query Understanding team is seeking a Machine Learning Engineer to research, design, implement, and evaluate machine learning models that improve personalized query understanding across Apple search and assistant experiences. The work emphasizes integrating LLM/NLU approaches alongside inference optimization to deliver fast, power-efficient solutions on-device.

Role Focus

You will advance state-of-the-art query understanding capabilities for personalized intent resolution, retrieval, and ranking. The role includes defining and measuring improvements to model quality and product outcomes, while supporting user satisfaction through reliable, contextually relevant responses.

Responsibilities

Research, design, implement, and evaluate models that improve personalized query understanding, user intent resolution, retrieval, and ranking
Use natural language processing, deep learning, and large language model techniques to produce grounded and contextually relevant responses
Identify performance gaps in current search and assistant systems and develop algorithms and techniques to improve model quality and key product outcomes
Define a long-term technical vision, propose roadmaps, and establish measurable objectives for the team
Collaborate with cross-functional partners to define product requirements, establish evaluation metrics, and maximize user satisfaction

Requirements

4 or more years of experience in machine learning, natural language processing, or computer vision, applied at scale
Production software engineering experience using Python, Go, C/C++, Swift, or Objective-C
Strong communication and collaboration skills
Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Statistics, Physics, Mathematics, or a related field

Technologies

Large Language Models (LLMs) and Natural Language Understanding (NLU)
Machine learning inference optimization
PyTorch, JAX, TensorFlow, XGBoost
Small Language Models (SLMs), model compression/quantization
Swift, Objective-C
Python, Go, C/C++

Preferred Qualifications

Master’s or Ph.D. in Computer Science, Statistics, or a related field, or equivalent industry experience
Experience with Small Language Models (SLMs) and on-device LLM training, including model compression/quantization and production deployment
Experience with large-scale query understanding, search, recommendation, or personal assistant systems
Proficiency with PyTorch, JAX, TensorFlow, or XGBoost
Background in personalization and data-driven decision making, with the ability to prototype solutions and conduct critical analysis
Experience with Swift, Swift frameworks, or Apple platform development is a plus
Experience with build infrastructure, release management, and CI/CD pipelines is a plus

Compensation and Benefits

Base pay range: USD 150,400 to 277,600 per year.

Comprehensive medical and dental coverage
Retirement benefits
Discounted products and free services
Reimbursement for certain educational expenses, including tuition
Discretionary bonuses or commission payments, and relocation might be eligible
Opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs
Eligibility for discretionary restricted stock unit awards
Ability to purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan
Employees can access additional details in the “Learn more about Apple Benefits” information

Location

Santa Clara, CA (onsite)

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Today

Sr Machine Learning Engineer - ML Data

Apple Cupertino, CA

Cupertino, CA

Today

$185k - $278k/yr Full time Backend Developer Ad Tech Agentic Ai

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Job Description

The Sr Machine Learning Engineer, ML Data role on Apple’s Ads Machine Learning Platform team focuses on building secure, scalable back-end systems and machine learning products. You will help improve and scale ML features, models, and applications for advertising while protecting user privacy, partnering closely with ML engineers and scientists to deliver platform capabilities for continuous experimentation.

Responsibilities

Design and develop secure, scalable back-end systems.
Build high-performing systems with quality engineering from the ground up.
Collaborate with ML engineers and scientists to design, develop, and deliver platform capabilities that enable Ads teams to improve and scale ML features, models, and applications.
Select appropriate technologies and craft solutions for ad network challenges.
Contribute to machine learning products that align with Apple privacy commitments and support new ways advertising works with data.
Improve reliability, simplicity, and scalability across platform and product work.

Requirements

Experience writing mission-critical production code for machine learning systems.
Experience building ML infrastructure, frameworks, or services used by multiple teams.
Experience building or operating feature stores, or comparable ML data infrastructure serving production models.
Experience with embedding management, including generating and versioning embeddings, refresh and retirement policy, and storing and serving embeddings for retrieval at scale.
Solid understanding of the ML lifecycle, including training, evaluation, deployment, and serving or inference, with hands-on experience building and deploying models.
Understanding of model evaluation, train-serve skew, and data drift.
Working knowledge of deep learning architectures and training frameworks such as PyTorch or TensorFlow.
Experience applying machine learning at scale in advertising, recommender systems, information retrieval, or related areas.
Experience with training data generation across multi-modal data (text, image, and structured), including sampling and point-in-time correctness.
Experience building production data pipelines for ML systems where scale and performance are critical, using distributed processing systems.
Experience building ML systems using batch and streaming deployments, workflow orchestration, and modern storage formats.
Strong data modeling and data architecture skills with a high bar for correctness, reliability, testing, and validation.
Strong problem-solving, debugging, and performance tuning skills, along with a focus on automation, tooling, and CI/CD.
Results-oriented approach and the ability to communicate effectively with technical and non-technical cross-functional teams.
Product-minded mindset with demonstrated ownership of projects.

Technologies

PyTorch
TensorFlow
LLM-based data generation or evaluation
Agentic AI

Preferred Qualifications

Experience in the advertising industry.
Experience with LLM-based data generation or evaluation.
Familiarity with large-scale distributed training and data infrastructure needs.
Prior experience in privacy-preserving ML.
Familiarity with agentic AI.
PhD in Computer Science or related field with 3+ years of engineering experience and 5+ years of machine learning experience; or MS in Computer Science or related field with 6+ years of engineering experience and 5+ years of machine learning experience; or BS in Computer Science or related field with 7+ years of engineering experience and 5+ years of machine learning experience.

Pay & Benefits

Salary range: USD 184,700 - 277,600 per year.

Participation in Apple’s discretionary employee stock programs.
Eligible for discretionary restricted stock unit awards.
Ability to purchase Apple stock at a discount through the Employee Stock Purchase Plan (if you voluntarily participate).
Comprehensive medical and dental coverage.
Retirement benefits.
Range of discounted products and free services.
Reimbursement for certain educational expenses, including tuition.
Discretionary bonuses or commission payments, as well as relocation (role may be eligible).
Learn more about Apple Benefits.

Apple benefit, compensation, and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Location

Cupertino, CA (onsite)

Minimum Experience

3+ years

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Today

Lead Machine Learning Engineer, Human Sensing

Apple Seattle, WA

Seattle, WA

Today

$175k - $309k/yr Full time Manager Ai Ml Artificial Intelligence

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Job Description

Apple’s Human and Object Understanding (HOUr) team seeks a Lead Machine Learning Engineer (Technical Lead) to set technical direction for a multimodal Human Sensing group in Seattle.

Responsibilities

Serve as the primary technical lead with engineering management to define project scope, technical milestones, and roadmap execution
Set KPI targets and quality benchmarks across demographics, environmental conditions, and device use cases
Define dataset collection, annotation, and curation strategy in collaboration with the Data team to reduce blind spots
Architect and lead the team’s evaluation framework and benchmarking pipelines, including custom metrics, evaluation scripts, and automated stress-testing tools
Lead failure mode analysis, root-cause investigation, and edge-case discovery to drive targeted model and data iterations
Coordinate day-to-day technical execution across multiple teams, including Evaluation, Integration, and Data Operations
Drive model optimization in partnership with integration and other partner teams
Train, fine-tune, and run experiments with state-of-the-art vision architectures when needed to unblock research or validate hypotheses
Maintain the team’s core codebase: author and review PRs, uphold engineering hygiene, and support rapid iteration velocity
Communicate technical strategy, performance trade-offs, and progress to stakeholders and senior leadership; mentor junior and mid-level engineers
Stay current with machine learning and multimodal foundation model trends, plus best practices in computer vision and natural language understanding

Requirements

Master’s or Ph.D. in Computer Science, Computer Engineering, or related field (or equivalent practical experience)
6+ years of industry experience in Computer Vision and Machine Learning
Proven Technical Lead or Staff-level experience: scoping projects, setting KPIs, and leading technical initiatives across cross-functional teams
Expertise in evaluating complex ML systems, defining benchmarking methodologies, and performing deep failure analysis
Experience coordinating engineering teams, mentoring peers, and partnering with management on roadmap execution
Strong attention to detail, ownership mindset, and agility in fast-evolving research environments
Deep proficiency in Python, PyTorch, and hands-on experience producing clean, maintainable code in shared repositories

Technologies

Python, PyTorch
Core ML
Quantization-aware training, knowledge distillation
Latency profiling, quantization, pruning
Multimodal foundation models
Computer vision, natural language understanding
Face recognition
Identity re-identification (ReID)
Foundation vision models
Large-scale Vision-Language Models (VLMs), large language models (LLMs), multimodal large language models (LLMs)
Large-scale vision-language models (VLMs)

Benefits

Comprehensive medical and dental coverage
Retirement benefits
Discounted products and free services
Reimbursement for certain educational expenses, including tuition
Discretionary bonuses or commission payments (may be eligible)
Relocation (may be eligible)
Opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs
Discretionary restricted stock unit awards (eligible)
Discounted Apple stock purchase if voluntarily participating in the Employee Stock Purchase Plan

Preferred Qualifications

Deep domain knowledge in face recognition, identity re-identification (ReID), biometrics, or visual human sensing (pose, expression, human-object interaction)
Hands-on collaboration with Data Collection & Annotation teams to design robust collection protocols and active learning datasets
Experience with on-device model optimization: quantization-aware training, knowledge distillation, Core ML conversion, latency profiling
Experience with foundation vision models or large-scale Vision-Language Models (VLMs)
Hands-on experience training and scaling multi-modal LLMs or large-scale VLMs
Experience with on-device ML, model optimization (knowledge distillation, quantization, pruning), or production-grade ML pipelines
Research and innovation background demonstrated through publications in top-tier journals or conferences, patents, or impactful software developments

Pay & Location

Location: Seattle, WA (onsite)
Base pay range: USD 175,000 - 308,500 per year
Base pay depends on skills, qualifications, experience, and location
Apple benefit, compensation, and employee stock program eligibility and terms apply

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Today

Senior Machine Learning Engineer, Perception - Autonomous Driving

NVIDIA Santa Clara, CA

Santa Clara, CA

Today

$184k - $357k/yr Full time Artificial Intelligence Autonomous Driving Perception Autonomous Driving Simulation

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Job Description

Build and productize autonomous driving perception systems for traffic signal understanding with solutions designed to work without reliance on HD maps.

Responsibilities

Design end-to-end perception and AV stack solutions for traffic signal detections across diverse driving environments, from complex intersections to rural roads and highways
Conduct applied research and development of deep learning models for traffic signal tasks, including:
- Traffic light detection
- Traffic sign recognition
- Road marking detection
- Construction object detection
- Text recognition
- Other traffic signal-related tasks
Develop generalizable methods to support diverse ODDs and enable country or region expansion
Drive data-driven development by partnering with large data collection and labeling teams to prioritize high-value data:
- Data collection prioritization and planning
- Labeling prioritization
- Labeling efficiency optimization
- Maximize the value of data to improve perception accuracy
Use data simulation and augmentation to address extreme and rare scenarios
Productize perception solutions by meeting product requirements for safety, latency, and software robustness

Requirements

Minimum education and experience:
- PhD with 4+ years, or
- MS with 6+ years, or
- BS (or equivalent experience) with 8+ years in Computer Science, Computer Engineering, or a related technical field
2+ years of technical leadership with high technical and organizational complexity is a plus
Hands-on experience building deep learning models and algorithms to solve complex real-world problems
Proficiency with deep learning frameworks, such as PyTorch
Experience with data-driven development and collaboration with data and ground truth teams
Strong programming skills in Python and/or C++
Strong communication and teamwork skills in a collaborative, learning-focused environment

Technologies

PyTorch
Python
C++
Deep learning frameworks
Transformers
BEV architectures
Visual Language Models

Benefits

Eligible for equity and benefits

Ways to Stand Out

Proven expertise developing generalizable autonomous driving or robotics perception solutions using deep learning with cameras
Hands-on experience developing and deploying DNN-based solutions to embedded platforms for real-time applications
Deep learning expertise supported by technical publications in leading conferences or journals
Expertise with Visual Language Models, Transformers, BEV architectures, and modern traffic signal perception techniques
Experience with complex object detection and recognition is a plus

Location: Santa Clara, CA (onsite)

Compensation: USD 184,000 - 356,500 per year

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Today

Sr. Machine Learning Engineer - Answers, Knowledge & Information (AKI)

Apple Santa Clara, CA

Santa Clara, CA

Today

$175k - $309k/yr Full time Ai Engineer Ai Ml Artificial Intelligence

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Job Description

Apple’s Geo domain team is building machine learning and LLM-based capabilities that help Siri and Spotlight understand queries, rank documents, and surface useful answers for local information. In this senior role, you will drive improvements to search quality end to end, with ownership spanning modeling, evaluation, and production deployment.

Location: Santa Clara, CA (onsite)

Compensation: USD 175,000 to 308,500 per year (base pay range)

What You’ll Do

Own the full machine learning development cycle, from opportunity analysis and exploration through prototyping, data collection, feature engineering, training, evaluation, and production deployment.
Lead the development of machine learning models that improve search quality across retrieval, ranking, reranking, and query understanding.
Use a range of approaches to improve search relevance and user experience, including learning-to-rank, embedding models, contrastive learning, multi-task learning, and reinforcement learning where appropriate.
Mentor junior engineers and provide technical leadership for architecting ML systems and designing ML models.
Translate product requirements into concrete modeling tasks and engineering tasks.

Minimum Qualifications

8+ years of experience in information retrieval, natural language processing, machine learning, or deep learning.
Strong understanding of machine learning theory, including supervised learning, ranking models, embeddings, representation learning, and evaluation metrics.
Proven ability to apply advanced ML techniques to improve search relevance and retrieval quality at scale.
Comfort leading experimentation, offline evaluation, and online A/B testing to iterate on search quality.
Excellent interpersonal skills, with the ability to work independently and collaboratively.
Master’s Degree in Computer Science, or equivalent experience in machine learning or a related field.

Technology

LLMs

Education

Master’s Degree in Computer Science

Benefits

Comprehensive medical and dental coverage
Retirement benefits
A range of discounted products and free services
Reimbursement for certain educational expenses, including tuition
Participation in Apple’s discretionary employee stock programs (eligible for discretionary restricted stock unit awards)
Ability to purchase Apple stock at a discount if voluntarily participating in the Employee Stock Purchase Plan
Discretionary bonuses or commission payments, as well as relocation (might be eligible)

Preferred Qualifications

Advanced diploma in AI, Machine Learning, Computer Science, or Mathematics

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Machine Learning Modeling Developer Jobs

Machine Learning Engineer, Natural Language Understanding, Proactive

Sr Machine Learning Engineer - ML Data

Lead Machine Learning Engineer, Human Sensing

Senior Machine Learning Engineer, Perception - Autonomous Driving

Sr. Machine Learning Engineer - Answers, Knowledge & Information (AKI)

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