Machine Learning - Data Scientist

Apple; Boulder (CO); Sur place; USD 132 100 - 244 600; Plein temps

Avantages offerts par ce poste

Comprehensive medical and dental coverage

Retirement benefits

Educational reimbursement

Employee stock purchase plan

Résumé du poste

A leading technology firm is seeking an expert in evaluating machine learning and deep learning models. You will develop robust methodologies to assess foundation models and collaborate with teams to ensure product quality. The ideal candidate has strong analytical thinking, expertise in Python, and experience in evaluating LLMs and traditional statistical methods. This is a critical role for crafting evaluation frameworks and improving model robustness. Competitive compensation and benefits are offered including comprehensive medical and dental coverage.

Qualifications

• Minimum of 3 years relevant industry experience.
• Strong experience in evaluating supervised, unsupervised, and deep learning models.
• Proficiency in Python and familiarity with multilayer models.

Responsabilités

• Develop robust methodologies to assess foundation models.
• Build and curate evaluation datasets and benchmarks.
• Conduct failure analysis to improve model robustness.

Connaissances

Analytical thinking

Expertise in Python

Statistical methodologies

Hands-on experience evaluating LLMs

Strong documentation skills

Formation

BS degree

Outils

NumPy

pandas

scikit-learn

PyTorch

TensorFlow

Description du poste

Overview

Summary Do you have a passion for computer vision and solving deep learning problems? The Video Engineering Data Analytics and Quality group is seeking an expert in evaluating machine learning and deep learning models, including foundation models and multimodal systems. This role will play a critical part in crafting robust evaluation frameworks, using both traditional statistical methods and modern techniques like LLM-as-a-Judge. The ideal candidate combines strong analytical thinking, expertise in Python, and advanced knowledge of statistical methodologies and data quality standards. This role involves collaboration with teams at Apple passionate about developing foundation models, including ML engineers, data scientists, and ML Infrastructure engineers to deliver amazing user experiences.

Description Develop robust methodologies to assess the performance of foundation models (e.g., LLMs, vision-language models, etc.) across diverse tasks. Leverage LLMs as judges to perform subjective and open-ended model evaluations (e.g., for summarization, reasoning, or multimodal generation tasks). Build, curate, and lead evaluation datasets and benchmarks. Advanced proficiency in at least one scripting language, preferably Python. Collaborate with research, engineering, and product teams to define evaluation goals aligned with user experience and product quality. Conduct failure analysis and uncover edge cases to improve model robustness. Contribute to our tools and infrastructure to automate and scale evaluation processes.

Minimum Qualifications

• BS and a minimum of 3 years relevant industry experience
• Strong experience in evaluating supervised, unsupervised, and deep learning models.
• Hands-on experience evaluating LLMs and using them as scoring/judging mechanisms.
• Familiarity with multimodal models (e.g., image + text, video + audio) and related evaluation challenges.
• Proficiency in Python and libraries such as NumPy, pandas, scikit-learn, PyTorch, or TensorFlow.
• Solid understanding of statistical testing, sampling, confidence intervals, and metrics (e.g., precision/recall, BLEU, ROUGE, FID, etc.).
• Strong documentation skills, including the ability to write technical reports and present to non-technical audiences.

Preferred Qualifications

• Experience working with open-source evaluation tools like OpenEval, ELO-based ranking, or LLM-as-a-Judge frameworks.
• Familiarity with prompt engineering, few-shot or zero-shot evaluation techniques.
• Experience evaluating generative models (e.g., text generation, image generation).
• Prior contributions to ML benchmarks or public evaluations.
• Strong interpersonal skills.

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. The base pay range for this role is between $132,100 and $244,600, 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.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.

Apple accepts applications to this posting on an ongoing basis.