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Applied Machine Learning Engineer Jobs (NOW HIRING)

Iterable

Senior Machine Learning Engineer (Nova)

Boston, MA · On-site

$113K - $155K/yr

They are seeking a Senior Machine Learning Engineer to build core Machine Learning foundations, focusing on applied Machine Learning in production environments, and collaborating with various teams ...

Iterable

Senior Machine Learning Engineer (Nova)

Chicago, IL · On-site

$107K - $147K/yr

They are seeking a Senior Machine Learning Engineer to build core Machine Learning foundations, focusing on applied Machine Learning in production environments, and collaborating with various teams ...

Iterable

Senior Machine Learning Engineer (Nova)

Manhattan, NY · On-site

$115K - $158K/yr

They are seeking a Senior Machine Learning Engineer to build core Machine Learning foundations, focusing on applied Machine Learning in production environments, and collaborating with various teams ...

Adobe

Senior Applied Machine Learning Engineer

San Jose, CA · On-site

$122K - $168K/yr

We'relooking for an Applied Machine Learning Engineer to design and deliver intelligent typographic features across Adobe's creative products, simplifying decisions and workflows for millions of ...

Velo3D

Machine Learning Engineer

Fremont, CA

$150K - $220K/yr

We are particularly interested in candidates with scientific, engineering, or technical backgrounds who have applied machine learning to complex real-world problems involving sensor data, physical ...

Velo3D

Machine Learning Engineer

Fremont, CA

$150K - $220K/yr

We are particularly interested in candidates with scientific, engineering, or technical backgrounds who have applied machine learning to complex real-world problems involving sensor data, physical ...

Velo3D

Machine Learning Engineer

Fremont, CA · On-site

$150K - $220K/yr

We are particularly interested in candidates with scientific, engineering, or technical backgrounds who have applied machine learning to complex real-world problems involving sensor data, physical ...

Alt

Machine Learning Engineer

San Francisco, CA · On-site +1

$196K/yr

Conduct applied research and experimentation to design, train, evaluate, and refine machine learning models, including performing feature engineering, selecting modeling techniques, validating model ...

Spotify

Senior Machine Learning Engineer - Ads R&D

$107K - $146K/yr

Required : • Professional experience in applied machine learning • Strong technical expertise in software engineering, data analysis, and machine learning • Proficient in programming languages ...

Apple

Machine Learning Engineer

Austin, TX · On-site

We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and develop ...

Spotify

Senior Machine Learning Engineer - Ads R&D

$107K - $146K/yr

Required : • Professional experience in applied machine learning • Strong technical expertise in software engineering, data analysis, and machine learning • Proficient in programming languages ...

Apple

Sr Machine Learning Engineer, Proactive

Santa Clara, CA · On-site

$122K - $168K/yr

We are looking for people with excellent applied machine learning experience and solid engineering skills in creating outstanding intelligent search experiences. This role will have the following ...

Reddit

Staff Machine Learning Engineer, Consumer

We are hiring Machine Learning Engineers across our Consumer Engineering organization, giving you ... Track record of driving measurable impact through applied machine learning in real-world products ...

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All JobsApplied Machine Learning Engineer Jobs

Applied Machine Learning Engineer information

See salary details

$31.5K

$128.8K

$193.5K

How much do applied machine learning engineer jobs pay per year?

As of Jul 4, 2026, the average yearly pay for applied machine learning engineer in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

What are some common challenges an Applied Machine Learning Engineer faces when transitioning models from research to production?

Applied Machine Learning Engineers often encounter challenges such as ensuring models perform robustly with real-world data, optimizing for computational efficiency, and integrating with existing engineering infrastructure. Unlike research prototypes, production models must handle scalability, latency, and reliability concerns. Collaborating closely with data engineers, software developers, and product managers is essential to address these obstacles and ensure seamless deployment and ongoing monitoring.

What are the key skills and qualifications needed to thrive as an Applied Machine Learning Engineer, and why are they important?

To thrive as an Applied Machine Learning Engineer, you need strong programming skills (especially in Python), a solid understanding of statistics, algorithms, and machine learning concepts, typically backed by a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), cloud platforms, and version control systems, as well as experience with data preprocessing, are essential. Problem-solving ability, effective communication, and the ability to work collaboratively make someone stand out in this role. These skills are crucial for designing, implementing, and deploying robust ML solutions that address real-world business challenges.

What does an Applied Machine Learning Engineer do?

An Applied Machine Learning Engineer designs, develops, and implements machine learning models to solve real-world problems. They work closely with data scientists, software engineers, and business stakeholders to deploy scalable and efficient machine learning solutions. Their responsibilities include selecting appropriate algorithms, preprocessing data, training models, evaluating performance, and integrating models into production systems. They also monitor and maintain these systems to ensure they deliver accurate and reliable results over time.
More about Applied Machine Learning Engineer jobs
What job categories do people searching Applied Machine Learning Engineer jobs look for? The top searched job categories for Applied Machine Learning Engineer jobs are:
Applied Machine Learning Engineer jobs near you
Infographic showing various Applied Machine Learning Engineer job openings in the United States as of June 2026, with employment types broken down into 90% Full Time, 5% Temporary, and 5% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.
Senior Machine Learning Engineer (Nova)

Senior Machine Learning Engineer (Nova)

Iterable

Boston, MA • On-site

$113K - $155K/yr

Full-time

Posted 7 days ago

Job description

Job Summary:
Iterable is the leading AI-powered customer engagement platform that helps brands create dynamic, individualized experiences at scale. They are seeking a Senior Machine Learning Engineer to build core Machine Learning foundations, focusing on applied Machine Learning in production environments, and collaborating with various teams to enhance the Iterable platform.
Responsibilities:
• Design and build Machine Learning platform components that support agentic systems, including retrieval pipelines, indexing strategies, and model integration layers.
• Introduce and operationalize RAG use cases, from data sourcing and embedding generation to runtime retrieval patterns.
• Develop generalized evaluation frameworks for LLM- and agent-based features, including offline metrics, golden datasets, and continuous monitoring.
• Implement abstractions, tooling, and reusable patterns that enable other teams to build ML- and LLM-powered experiences efficiently.
• Partner with backend engineers to productionize ML features with strong reliability, observability, and performance characteristics.
• Prototype applied ML solutions to validate feasibility before investing in full builds.
• Ensure secure, robust handling of data used in ML workflows and retrieval operations.
• Collaborate with product, design, and engineering to align ML system design with user experience and product goals.
• Contribute to iterative improvements of the Nova agent framework, including workflows built with Mastra and TypeScript.
Qualifications:
Required:
• 5+ years experience as a Machine Learning Engineer or similar role focused on production systems.
• Strong engineering skills with Python or TypeScript, including experience building ML workflows in frameworks like Mastra or comparable agent/LLM toolkits.
• Experience with retrieval systems, vector databases, search technologies, or RAG architectures.
• Prior work integrating ML or LLM-powered features into production applications.
• Understanding of ML evaluation techniques, experimentation design, and failure analysis.
• Ability to lead complex projects, make practical trade-offs, and work independently in areas of ambiguity.
• Strong communication and collaboration skills in a distributed environment.
Preferred:
• Experience building ML or LLM platforms, tooling, or developer-facing frameworks.
• Prior work with embeddings, search–ranking systems, or advanced RAG architectures.
• Familiarity with event-driven systems or streaming architectures.
• Experience with model observability, performance monitoring, or proactive regression detection.
• Background in personalization, recommendations, or applied NLP.
• Experience working in remote-first engineering teams.
Company:
Iterable is an AI-powered communication platform that improves customer retention with its marketing. Founded in 2013, the company is headquartered in San Francisco, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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