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Machine Learning Ai Developer Jobs in Massachusetts

Amazon

Machine Learning Engineer, Alexa AI

Boston, MA · On-site

The Alexa AI team is looking for a passionate, talented, and inventive Machine Learning Engineer with a strong machine learning background, to build capabilities such as fine tuning, distillation ...

Whoop

Senior Machine Learning Engineer, AI Platform

Boston, MA · On-site +1

$133K - $175K/yr

QUALIFICATIONS: * 3+ years of experience in applied machine learning, AI engineering, or ML-focused software engineering roles, including significant work in production environments. * Hands-on ...

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The Logistics AI group is responsible for the intelligence and execution behind Instacart ...

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The Logistics AI group is responsible for the intelligence and execution behind Instacart ...

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The Logistics AI group is responsible for the intelligence and execution behind Instacart ...

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The Logistics AI group is responsible for the intelligence and execution behind Instacart ...

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Machine Learning Ai Developer information

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence or machine learning, such as senior AI researcher, lead data scientist, or AI architect, often requiring advanced skills, extensive experience, and expertise in tools like Python, TensorFlow, or PyTorch. Such roles usually involve strategic decision-making, innovation, and leadership in AI projects, and they tend to be found in large tech companies or specialized research organizations. Compensation at this level reflects the complexity and impact of the work, along with responsibilities like managing teams or developing cutting-edge AI solutions.

What engineer makes $500,000 a year?

Senior machine learning AI developers with extensive experience, advanced skills in deep learning, and proficiency in tools like TensorFlow or PyTorch can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within top tech companies. Such roles often require advanced degrees, certifications, and a strong track record of impactful projects.

What is the difference between Machine Learning Ai Developer vs Data Scientist?

AspectMachine Learning Ai DeveloperData Scientist
CredentialsBachelor's or higher in CS, AI, or related fields; certifications in ML/AIBachelor's or higher in CS, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentDevelops AI models, algorithms, and applications; often in tech companies or R&DAnalyzes data, builds models, and provides insights; in various industries including finance, healthcare
Industry UsagePrimarily in AI product development, software, and tech firmsAcross industries for data analysis, business intelligence, and decision-making

While both roles require knowledge of machine learning and programming, Machine Learning Ai Developers focus on creating and deploying AI models and applications, whereas Data Scientists analyze data to extract insights and inform business strategies. The roles often overlap but differ in primary focus and application.

What is the salary of AI ML developer?

The salary of a Machine Learning AI Developer varies based on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually in many regions. Senior roles or those with specialized skills in deep learning, natural language processing, or cloud platforms can earn higher salaries, especially with certifications and advanced degrees.

Which 3 jobs will survive AI?

For a Machine Learning AI Developer, roles that require complex problem-solving, creativity, and human judgment are likely to persist, such as data scientists, AI ethics specialists, and AI system architects. These positions involve tasks that are difficult to automate and often require advanced domain knowledge, critical thinking, and collaboration skills. Continuous learning and expertise in tools like Python, TensorFlow, or cloud platforms enhance job security in this field.
What are popular job titles related to Machine Learning Ai Developer jobs in Massachusetts? For Machine Learning Ai Developer jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Machine Learning Ai Developer jobs in Massachusetts look for? The top searched job categories for Machine Learning Ai Developer jobs in Massachusetts are:
What cities in Massachusetts are hiring for Machine Learning Ai Developer jobs? Cities in Massachusetts with the most Machine Learning Ai Developer job openings:
Machine Learning Ai Developer jobs near you
Senior Machine Learning Engineer, AI Platform

Senior Machine Learning Engineer, AI Platform

WHOOP

Boston, MA • On-site

$133K - $175K/yr

Full-time

Posted 25 days ago

Job description

Job Summary:
WHOOP is on a mission to unlock human performance and healthspan, empowering members through AI-driven insights. They are seeking a Senior Machine Learning Engineer to scale the intelligence layer of their AI platform, focusing on core components that enhance member experiences and improve AI systems.
Responsibilities:
• Design, build, and operate production AI systems and scaffolding around language models that power conversational, predictive, and generative capabilities across WHOOP products.
• Lead end-to-end AI system initiatives spanning problem definition, data flows, dataset design, evaluation harnesses, deployment, and iteration in close partnership with data science and product.
• Build and maintain pipelines for collecting, curating, and reshaping messy, multi-source data into high-quality, well-structured training and evaluation datasets for language model–based systems.
• Operationalize fine-tuning and evaluation workflows for large language models behind member-facing features such as WHOOP Coach and AI Support, including defining datasets, labels, and taxonomies that reflect real member needs.
• Develop tooling and frameworks that make experimentation, offline/online evaluation, and model deployment faster, safer, and more repeatable, including robust observability for AI features in production.
• Build and maintain feedback loops that connect real member interactions, offline evaluations, and training data updates so that models improve continuously based on real-world behavior.
• Mentor other engineers and data scientists, share best practices in applied AI/ML, and help elevate the overall technical bar of the AI Platform team.
Qualifications:
Required:
• 3+ years of experience in applied machine learning, AI engineering, or ML-focused software engineering roles, including significant work in production environments.
• Hands-on experience building with modern language models (open-weight or API-based), including prompt design, fine-tuning, and rigorous evaluation.
• Solid working understanding of ML fundamentals (dataset construction, feature engineering, training workflows, evaluation metrics, experiment design) sufficient to make good engineering tradeoffs and partner effectively with data scientists.
• Familiarity with modern LLM training and alignment techniques such as supervised fine-tuning (SFT), direct preference optimization (DPO), and reinforcement learning (RL), and how they influence data requirements, evaluation strategies, and system design in production.
• Proven track record building, shipping, and operating ML-powered systems end to end, from data pipelines (batch and/or streaming) that transform large datasets into usable training and evaluation sets to production deployments with inference optimization, observability, and lifecycle management.
• Strong proficiency in data manipulation and analysis, including working with messy, multi-source, and semi-structured data and translating product questions into well-defined datasets, labels, and evaluation splits.
• Familiarity with best practices for secure, privacy-aware AI and working with sensitive data.
• Excellent communication and collaboration skills, with the ability to influence across teams and drive alignment on technical direction.
Company:
WHOOP provides wearable fitness technology and a subscription platform that tracks physiological data for health and performance insights. Founded in 2012, the company is headquartered in Boston, USA, with a team of 501-1000 employees. The company is currently Late Stage.
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About Whoop

Sourced by ZipRecruiter

At WHOOP, we're on a mission to unlock human performance. WHOOP empowers users (Olympians, Professional Athletes, Fitness Enthusiasts, etc) to perform at a higher level through a deeper understanding of their bodies and daily lives.

Industry

Fitness and sports centers

Company size

501 - 1,000 Employees

Headquarters location

Boston, MA, US

Year founded

2012

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