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Project Botanist
SWCA Environmental Consultants
Santa Cruz, CA
- $85,662.72 to $110,323.2 USD / year
Four (4) years of professional experience conducting botanical surveys and related natural resource fieldwork.
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Project Botanist
SWCA Environmental Consultants
Monterey, CA
- $85,662.72 to $110,323.2 USD / year
Four (4) years of professional experience conducting botanical surveys and related natural resource fieldwork.
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Staff Level Biologist -Monitor
SWCA Environmental Consultants
Monterey, CA
- $25.58 to $37.44 USD / hour
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Staff Level Biologist -Monitor
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Morgan Hill, CA
- $25.58 to $37.44 USD / hour
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KM Legal Research Analyst
Staff
Seattle, WA · Las Vegas, NV · Los Angeles, CA
- $43.3 to $50.5 USD / hour
Minimum of three years of legal and business research experience in a legal, corporate or professional services environment.
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HR Generalist - 1st Shift - Waverly, NE
Tecumseh Poultry, LLC
Waverly, NE
Under limited direction from HRBPs, perform broad professional human resources responsibilities to support policies and programs, including onboarding & orientation, compensation,…
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Production Supervisor - RTE (1st Shift) – Kansas City Prepared Plant
The Hillshire Brands Company
Kansas City, KS
You’ll build the best team possible. That includes Hiring, training, Retaining, and counseling on personal and professional problems as well as educating your team on benefits,…
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Senior Director, Brand Strategy- Access Marketing
Avalere Health
Remote, United States
- $120,000 to $190,000 USD / year
We are deeply invested in supporting professional growth for our employees through day-to-day career experiences, access to thousands of on-demand training sessions, regular career…
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Professional Development: #Growth is part of our DNA, therefore we invest in your personal learning and development.
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Senior Product Manager, Finance Technology (Procure-to-Pay & Record-to-Report)
Reddit
Remote, United States
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
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Senior Scientist
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A passion for leadership, mentorship, and personal and professional growth
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Staff Software Engineer
Cisco
Durham, NC · Denver, CO · Rancho Cordova, CA
8+ years of professional experience in software engineering and proficiency in at least one programming language, such as Go, Python, or Java.
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Associate Director, Publications & Evidence Strategy – Neuroscience
Janssen Scientific Affairs, LLC Legal Entity
Titusville, NJ
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District Manager Oncology, Gulf Coast Region
Janssen Biotech, Inc. Legal Entity
Horsham, PA · LA · TN · AL · MS
A minimum of six (6) years of relevant professional experience in sales and/or cross-functional commercial roles within the pharmaceutical, biotech, medical device, or healthcare industry.
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Director, US Policy (MedTech) - Johnson & Johnson
Johnson & Johnson Services Inc. Legal Entity
Washington, DC · New Brunswick, NJ
At least 10 years of related professional experience required, including a minimum of 5 years of reimbursement policy analysis, including Medicare inpatient/outpatie
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Medical Science Liaison, Oncology GU - Tennessee & Arkansas
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Nashville, TN · AR
…products. The MSL is responsible for developing and enhancing professional relationships with Key thought leaders/HCPs and providing fair balanced, objective, non-promotional scientific…
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Account Executive Wound Closure (San Jose, CA) – Johnson & Johnson MedTech – Surgery
Ethicon US LLC Legal Entity
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Execute the selling cycle in a manner that drives results, is concise, professional, ethical, within healthcare compliance guidelines and which leads the customer to action.
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Staff Enterprise Technology Administrator, People Tech
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San Francisco, CA
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Warehouse Site Manager
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Phoenix, AZ
Professional demeanor with a customer-service-oriented mindset
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Property Claims Adjuster (Remote US, MST/PST)
Openly
Remote, United States
- $70,000 to $90,000 USD / year
- Discuss claim status and provide regular updates to insureds, claimants, agents, and leadership, always maintaining clear and professional communication.
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Senior Subrogation Adjuster (Remote, US)
Openly
Remote, United States
- $80,500 to $96,250 USD / year
Added 5 mins ago
Sales Representative
Amplifon
XENIA, OH
Career Development: Comprehensive training to help you obtain your professional license and build a meaningful career.
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Multi-Site Property Manager
Bozzuto
Santa Monica, CA · SANTA MONICA, CA
Inspiring the professional growth and development of all team members
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Advisory Solutions Architect (Pre-Sales)
MongoDB
San Francisco, CA
Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
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Project Site Specialist - Power Generation
INNIO
GA
- $95,000 to $143,280 USD / year
Monitor the professional and timely implementation, as well as contract-compliant execution, of the scope of services and supplies by subcontractors.

Apple

AIML - Sr Machine Learning Platform Engineer, Evaluation

Seattle, WA, United States

The base pay range for this role is between $175,000 and $308,500, and your base pay will depend on your skills, qualifications, experience, and location.

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Job details

Pay: The base pay range for this role is between $175,000 and $308,500, and your base pay will depend on your skills, qualifications, experience, and location.
Experience: 6+ years of professional experience as a software engineer, preferably in machine learning or a related field.
Posting language: English
Posted: Nov 6, 2026

Original job description

Summary We are seeking a highly skilled and experienced machine learning engineer to join AIML Evaluation to build the systems that evaluate and refine Apple's foundation models and agents. As a key member of the team, you will help design and develop benchmarks, evaluators, simulation environments, and prompt and context optimization pipelines that drive quality improvements across Apple's AI experiences. You will collaborate with product teams and the foundation model team to close the loop between observation and improvement, contributing datasets, environments, and reward signals that drive model and agent quality.

Description Most model evaluation stops at a scorecard. The failing traces get thrown away, even though they're the most relevant training signal we have. Our team puts them to work. We evaluate across offline benchmarks, device-in-the-loop simulation, and on-device observation in production, and we turn what we find into persona-grounded datasets and reward signals for foundation model post-training.

In this role, you will build the systems that connect failure analysis to measurable model and agent improvements across a broad range of AI products at Apple. The path from finding a problem to fixing it is short: the loop you build finds the failure, produces the data and checks the result. The work reaches millions of users.

Responsibilities

Designing and building evaluation infrastructure for agents and foundation models. Setting technical direction for the evaluation system and bringing partner teams along. Developing LLM judges, reward models calibrated against human feedback. Developing prompt and context optimization pipelines. Building and integrating simulation environments for agent evaluation and trajectory-based data generation. Working with product and research teams to identify, prioritize, and address quality gaps. Building shared foundations such as run lineage, a run registry, and MCP interfaces for client teams' agents.

Minimum Qualifications Strong background in machine learning and distributed systems. A proven track record of solving ambiguous problems end to end: defining the problem and the metric, building the solution, and showing measured impact. Experience leading technical work across multiple codebases, teams, and organizations. Experience building and maintaining ML infrastructure for evaluation, training, or deployment. 6+ years of professional experience as a software engineer, preferably in machine learning or a related field. Bachelor's or Master's degree in Computer Science or a related field, or equivalent practical experience.

Preferred Qualifications Experience with LLM evaluation, LLM-as-judge, or reward modeling. Experience with prompt optimization, agent harness development, or post-training (SFT, DPO, RLHF). Proficiency in Python and ML frameworks such as PyTorch or JAX. Experience with agentic systems, simulation environments, or trajectory-based data generation. Familiarity with on-device or privacy-preserving ML. Understanding of how training data is used in post-training and how data choices affect model behavior. Excellent communication skills.

Pay & Benefits At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $175,000 and $308,500, 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.

EEO Statement 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

Accessibility At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here - in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Learn about reasonable accommodations for job applicants

Application Deadline Apple accepts applications to this posting on an ongoing basis.

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Skills

Machine learning
ML
Computer science
Python
PyTorch
Communication skills

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