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Contract Apple Machine Learning Engineer Jobs in Oregon

As a Machine Learning at BetterHelp, you'll join a diverse team of licensed clinicians, engineers, product pros, creatives, marketers, and business leaders who share a passion for expanding access to ...

Machine Learning Engineer / Data Scientist** to join our team, working on agent harness research and model fine tuning. This role sits at the intersection of research and engineering: the ideal ...

OR

$134K - $180K/yr

The Machine Learning Engineer will tackle challenging problems and create scalable machine learning systems and platforms that make an impact on millions of users. This role will work closely with ...

Description Tyto Athene is seeking a driven and adaptable Machine Learning Engineer to help shape the future of cybersecurity through automation and machine learning. This role is an opportunity to ...

Machine Learning Engineer

Foster, OR · On-site +1

$160K - $215K/yr

The Machine Learning Engineer will work in close collaboration with the core instrument, assay and software teams to develop algorithms for data analysis and workflow automation. This role reports to ...

OR · On-site

$104K - $143K/yr

Position Overview As a Senior Machine Learning Engineer at Anno.ai, you will design, develop, test, document, deploy, and maintain production machine learning and statistical modeled software to ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

As a Principal Machine Learning Engineer, you will work at the intersection of applied ML and platform engineering-collaborating closely with Research Scientists, Data Scientists, and ML Platform ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Senior Machine Learning Engineer

OR · Remote

$140K - $190K/yr

By joining our team as a Senior Machine Learning Engineer , you will play a pivotal role in building cutting-edge AI products that directly impact how new therapies reach patients. We're looking for ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

New

Machine Learning Engineers at Cresta work across several high-impact AI initiatives. Final team placement is determined based on experience, strengths, and business needs. Current focus areas include:

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Showing results 1-20

Contract Apple Machine Learning Engineer information

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position such as a senior machine learning engineer or AI research scientist, often in leading tech companies. These roles usually require advanced skills in deep learning, data analysis, and experience with tools like TensorFlow or PyTorch, and may include performance-based bonuses or stock options that contribute to the total compensation.

What are the key skills and qualifications needed to thrive as a Contract Apple Machine Learning Engineer, and why are they important?

To thrive as a Contract Apple Machine Learning Engineer, you need a strong background in computer science, mathematics, and deep learning, typically with a relevant degree and experience in building ML models. Proficiency with Python, TensorFlow or PyTorch, Apple's Core ML framework, and version control systems is commonly required. Strong problem-solving skills, collaboration, and effective communication help you navigate project requirements and work with cross-functional teams. These skills and experiences are crucial for delivering high-quality, scalable machine learning solutions that align with Apple's standards and rapidly evolving technology needs.

Which 3 jobs will survive AI?

For a Contract Apple Machine Learning Engineer, roles that require complex problem-solving, creativity, and human interaction—such as AI ethics specialists, creative designers, and strategic consultants—are less likely to be fully replaced by AI. These jobs often involve nuanced judgment, emotional intelligence, and domain expertise that AI cannot replicate easily.

Will MLE be replaced by AI?

As a Contract Apple Machine Learning Engineer, the role involves designing and implementing ML models, which AI systems currently support but do not fully replace. Human expertise in model development, data analysis, and system integration remains essential, especially for complex tasks and ethical considerations. AI tools can augment the work of MLEs but are unlikely to fully replace the need for skilled engineers in the near future.

How much does Apple pay machine learning engineers?

Apple pays machine learning engineers an average salary ranging from $120,000 to $180,000 annually, depending on experience, location, and level. Compensation may also include bonuses, stock options, and benefits, with roles often requiring expertise in deep learning, data analysis, and programming in Python or Swift.

What are the common challenges faced by Contract Apple Machine Learning Engineers when integrating ML models into Apple’s ecosystem?

Contract Apple Machine Learning Engineers often encounter challenges such as ensuring seamless integration of machine learning models with Apple’s proprietary platforms like iOS, macOS, or Core ML. Adapting to Apple’s strict security, privacy standards, and performance requirements is essential, as is optimizing models for real-time performance on Apple devices. Collaborating effectively with cross-functional teams—such as software developers, designers, and QA engineers—is crucial to deliver scalable and user-friendly ML features within project timelines.

What are Contract Apple Machine Learning Engineers?

Contract Apple Machine Learning Engineers are professionals hired on a temporary or project basis to develop and implement machine learning models and algorithms specifically for Apple’s products and platforms. They typically work on tasks such as optimizing machine learning workflows for iOS, macOS, or other Apple technologies, and may collaborate closely with Apple’s in-house teams. Their responsibilities can include data preprocessing, model training, evaluation, and integration into Apple’s ecosystem. These engineers are expected to have expertise in machine learning frameworks, programming languages like Python or Swift, and a strong understanding of Apple’s development tools. Contract roles often provide flexibility but may require quick adaptation to Apple’s proprietary systems and high standards.
What are popular job titles related to Contract Apple Machine Learning Engineer jobs in Oregon? For Contract Apple Machine Learning Engineer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Contract Apple Machine Learning Engineer jobs in Oregon look for? The top searched job categories for Contract Apple Machine Learning Engineer jobs in Oregon are:
What cities in Oregon are hiring for Contract Apple Machine Learning Engineer jobs? Cities in Oregon with the most Contract Apple Machine Learning Engineer job openings:
Machine Learning Engineer

Other

Medical, Dental, Vision, Retirement

Posted 22 days ago


BetterHelp rating

7.2

Company rating: 7.2 out of 10

Based on 8 frontline employees who took The Breakroom Quiz


Job description

Who are we and why should you join us?

BetterHelp is on a mission to remove the traditional barriers to therapy and make mental health care more accessible to everyone. Founded in 2013, we are now the world's largest online therapy service, providing affordable and convenient therapy across the globe. Our network of over 30,000 licensed therapists has helped millions of people take ownership of their mental health and change their lives forever. And we're not stopping there - as the unmet need for mental health services continues to grow, BetterHelp is committed to being part of the solution.


As a Machine Learning at BetterHelp, you'll join a diverse team of licensed clinicians, engineers, product pros, creatives, marketers, and business leaders who share a passion for expanding access to therapy. And as a mental health company, we take employee mental health just as seriously as we do our mission. We deeply invest in our team's well-being and professional development, because we know that business and individual growth go hand-in-hand. At BetterHelp, you'll carve your own path, make an immediate impact, and be challenged every day - with a supportive community behind you the whole way.

What are we looking for?

BetterHelp is looking for a Machine Learning Engineer to help build and scale the next generation of AI-powered experiences across our platform. This role will focus on Natural Language Processing (NLP), Large Language Models (LLMs), evaluation systems, and AI safety infrastructure.

We're looking for someone with a strong foundation in machine learning and NLP who is excited about building reliable, scalable AI systems in production. The ideal candidate has experience working with language models, evaluating model quality, implementing guardrails, and optimizing inference systems for real-world applications.

What will you do?
  • Develop and improve NLP systems and language model-powered experiences.
  • Fine-tune and optimize open-source and proprietary language models for domain-specific use cases.
  • Evaluate model performance and identify opportunities for quality improvements.
  • Design and implement evaluation frameworks to measure model quality, reliability, and business impact.
  • Build automated testing pipelines to identify regressions, quality drops, hallucinations, and failure modes.
  • Develop metrics and monitoring systems to continuously assess model performance in production.
  • Design and implement guardrails that improve model reliability, safety, and consistency.
  • Build systems to detect unsafe outputs, prompt injection attempts, abuse patterns, and fraud-related behaviors.
  • Partner with product and engineering teams to ensure AI systems behave predictably and responsibly.
  • Optimize inference performance through quantization, distillation, batching, and model serving improvements.
  • Deploy and maintain production-grade ML systems running on GPU infrastructure.
  • Improve latency, scalability, and operational efficiency of LLM-powered applications.
  • Partner closely with Product, Engineering, and Data Science teams to identify opportunities where AI can improve user experiences.
  • Translate business requirements into scalable ML solutions.
  • Communicate technical concepts clearly to both technical and non-technical stakeholders.
What will you NOT do?
  • You will NOT worry about "runway", "cash left", or "how much time we have until the next round". We have the startup DNA but we're fully backed and funded, all the way to success.
  • You will NOT be confined to your "job". You will get involved in product, marketing, business strategy, and almost everything we do.
  • You will NOT be bogged down by office politics, ego, or bad attitude. Only positive, pleasure-to-work-with people are allowed here!
  • You will NOT get yourself burned out. We work hard but we believe in maintaining a sustainable work/life balance. Really.
Can I work remotely?

Yes. We operate on PST and candidates in any time zone are welcome to apply. We ask employees to travel to our San Jose, CA office up to three times per year plus one company-wide offsite to collaborate in person and strengthen working relationships. Travel expenses are covered and reasonable accommodations are made for those under unique circumstances who cannot travel.

Requirements
  • Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, Statistics, Mathematics, Computational Linguistics, or a related quantitative field. Master's or PhD preferred.
  • 3+ years of industry experience building machine learning systems
  • Strong Python programming skills
  • Experience working with NLP and Large Language Models
  • Experience with PyTorch (preferred) or TensorFlow
  • Strong understanding of deep learning fundamentals, transformers, embeddings, and modern NLP architectures
  • Experience evaluating machine learning models and designing quality measurement frameworks
  • Experience fine-tuning language models for production use cases
  • Familiarity with model serving, inference optimization, and deployment workflows
  • Experience working with SQL and large-scale datasets
  • Excellent communication and collaboration skills
Benefits
  • Remote work with regular in-person bonding experiences sponsored by the company
  • Competitive compensation 
  • Holistic perks program (including free therapy, employee wellness, and more)
  • Excellent health, dental, and vision coverage
  • 401k benefits with employer matching contribution
  • The chance to build something that changes lives - and that people love
  • Any piece of hardware or software that will make you happy and productive
  • An awesome community of co-workers

The base salary range for this position is $150,000 - $180,000. In addition to the base salary, this position is eligible for a performance bonus and the extensive benefits listed here (subject to eligibility requirements): Teladoc Health Benefits 2026. Total compensation is based on several factors - including, but not limited to, type of position, location, education level, work experience, and certifications. This information is applicable to all full-time positions.

At BetterHelp we thrive on difference and individuality, and as part of the Teladoc Health family, we are proud to be an Equal Opportunity Employer. We never have and never will discriminate against any job candidate or employee due to age, race, ethnicity, religion, sex, color, national origin, gender, gender identity, sexual orientation, medical condition, marital status, parental status, disability, or Veteran status.
Notice to Candidates:
BetterHelp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team - please know that we have no affiliation or connection to these situations. We only post open roles on our career page (betterhelp.com/careers) or reputable job boards like our official LinkedIn or Indeed pages, and all official BetterHelp recruitment emails will come from the domain @betterhelp.com. Our commitment is to ensure a safe and transparent hiring experience for all candidates.  We will never ask you for money, gift cards, or any form of payment during our hiring process, and we will never send money or checks to candidates. If you experience this, it is a scam.


What BetterHelp employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


BetterHelp logo

About BetterHelp

Sourced by ZipRecruiter

* We help people change their lives. BetterHelp is the world's largest therapy service. We set out on a mission to provide everyone with easy, affordable, and private access to professional counseling: anytime, anywhere. To date, our network of over 20,000 licensed, accredited, and board-certified therapists have assisted more than 1,000,000 people. Every month, our secure website and mobile app facilitate over 5,000,000 messages, chats, voice calls, and video sessions that help people face life's challenges. * We're taking mental healthcare to the next level. We combine clinical care, cutting-edge technology and data-driven product development to constantly learn, iterate, and improve. We are relentless in our pursuit of better, always questioning the status quo and discovering new ways to get things done and serve our members. * We are a community that grows together - both professionally and personally. Even with our exponential growth, our team is kept agile and nimble, allowing you to have a huge impact and carve your own path from day one. We invest in our team's well-being and professional development because we know that business and individual growth go hand-in-hand. You will move fast, remain flexible, and be challenged every day. Join us!

Industry

Health care and social assistance

Company size

1,001 - 5,000 Employees

Headquarters location

San Francisco, CA, US

Year founded

2013

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