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Contract Apple Machine Learning Engineer Jobs in Wellesley, MA

We're looking for a Senior Machine Learning Engineer to help advance the state of voice understanding at Modulate. In this role, you'll design, train, evaluate, and deploy cutting‑edge machine ...

Base pay range $130,000.00/yr - $215,000.00/yr Direct message the job poster from Alsym Energy Alsym Energy is seeking a Machine Learning Scientist or Engineer to design, build, and deploy agentic AI ...

Lead Machine Learning Engineer

Cambridge, MA

$112K - $147K/yr

Lead Machine Learning Engineer At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. Our investments in technology infrastructure and world-class ...

Lead Machine Learning Engineer

Cambridge, MA · On-site

$112K - $147K/yr

Lead Machine Learning Engineer At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. Our investments in technology infrastructure and world-class ...

Machine Learning Engineer II

Cambridge, MA · On-site

$106K - $145K/yr

We are seeking a mid-level Machine Learning Engineer to join our team and help shape the future of Agentic AI systems. This is a hands-on, full-lifecycle (from experimentation to productionization ...

About the position: We're looking for a Senior Machine Learning Engineer with deep expertise in some area of ML engineering to join our growing ML team and work closely with our software and computer ...

Showing results 41-60

Contract Apple Machine Learning Engineer information

See Wellesley, MA salary details

$34.6K

$141.2K

$212.2K

How much do contract apple machine learning engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for contract apple machine learning engineer in Wellesley, MA is $141,247.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,300.00 and $170,000.00 per year, depending on experience, location, and employer.

What is a contract Apple machine learning engineer?

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 the key skills and qualifications needed to thrive as a contract Apple machine learning engineer?

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.

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 popular job titles related to Contract Apple Machine Learning Engineer jobs in Wellesley, MA?

For Contract Apple Machine Learning Engineer jobs in Wellesley, MA, the most frequently searched job titles are:

What job categories do people searching Contract Apple Machine Learning Engineer jobs in Wellesley, MA look for?

The top searched job categories for Contract Apple Machine Learning Engineer jobs in Wellesley, MA are:

What cities near Wellesley, MA are hiring for Contract Apple Machine Learning Engineer jobs?

Cities near Wellesley, MA with the most Contract Apple Machine Learning Engineer job openings:

Senior Machine Learning Engineer

Somerville, MA • On-site

Modulate
Software Development • 1 - 10 employees

$170K - $200K/yr

Other

Medical, Dental, Vision, PTO

Posted 4 days ago


Job description

About the Company

Modulate is the leader in conversational voice intelligence. We enable enterprises to deeply understand how people communicate and take timely action based on those insights. Our products help detect harm, prevent fraud, and build safer, more trusted online and real-world voice environments. We are building a Conversation Intelligence Platform — APIs, workflows, and applications that bring voice understanding to customers at enterprise scale.

We're looking for a Senior Machine Learning Engineer to help advance the state of voice understanding at Modulate. In this role, you'll design, train, evaluate, and deploy cutting‑edge machine learning models that power our products. You'll work closely with researchers, engineers, product leaders, and executives to bring innovative ML solutions from concept to production.

Your Impact
  • Develop and deploy high-quality machine learning models that power Modulate's products

  • Advance our capabilities in conversational voice intelligence through applied research and engineering

  • Help translate business needs into scalable ML solutions

  • Improve model performance, reliability, and efficiency across our platform

  • Contribute to a collaborative, high‑performing engineering culture

What You Will Do
  • Design, train, evaluate, and deploy machine learning models for production applications

  • Collaborate with engineers, researchers, product managers, and company leadership to define and execute on ML initiatives

  • Conduct experiments to improve model quality, accuracy, robustness, and scalability

  • Partner with platform and infrastructure teams to operationalize and monitor ML systems in production

  • Analyze model performance and identify opportunities for improvement

  • Communicate technical findings, tradeoffs, and recommendations to both technical and non‑technical stakeholders

  • Contribute to technical strategy and help shape the future direction of Modulate's ML systems

  • Review code, share knowledge, and mentor teammates as needed

  • Stay current on advances in machine learning and identify opportunities to apply new techniques to our products

What We Are Looking For
  • Experience conducting machine learning research and shipping models to production

  • Strong experience building and deploying production‑grade machine learning systems

  • Strong experience with Python and PyTorch

  • Experience designing experiments and evaluating model performance

  • Ability to work across research and engineering disciplines to deliver business impact

  • Strong communication skills and the ability to explain complex technical concepts clearly

  • Experience working collaboratively in cross‑functional environments

Nice to Have
  • Experience communicating research externally through papers, conferences, or open‑source contributions

  • Experience with audio models or speech systems (ASR, TTS, speaker modeling, etc.)

  • Experience with cloud infrastructure, especially AWS

  • Experience building and maintaining large‑scale ML infrastructure or MLOps systems

  • Experience in fast‑paced startup environments

Benefits
  • Competitive salary + equity

  • Full health, dental, and vision coverage

  • Flexible PTO with a strong culture of taking it

  • Weekly team lunches with dietary accommodations

  • Hybrid work with core in‑office days and flexible remote options

  • Leadership and technical learning sessions

  • Career development and continued growth support

  • Up to 8 weeks work‑from‑anywhere policy

  • A deeply inclusive, human‑centered culture

Pay Transparency

Modulate believes in transparency as a cornerstone of equity and trust. Compensation for this role is based on seniority, skills, and experience.

Salary: $170,000–$200,000
Equity: Offered

Additional benefits include HSA, FSA, 15 company holidays, and professional development resources.

Candidates may be located anywhere in the U.S., with preference for proximity to major tech hubs such as Boston, San Francisco, Seattle, New York, or Austin.

About Modulate

Modulate is on a mission to make voice a force for good online. Our tools help communities thrive by proactively detecting toxic behavior, protecting user identity, and empowering safety teams. We're trusted by leaders in gaming and beyond—and we're growing fast.

We believe that great cultures don't just happen. That's why we've built a foundation of intentional systems: from bias‑reducing hiring practices to transparent pay to tools that help teams collaborate across communication styles. At Modulate, we treat people like people—and we're building technology that does the same.

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