Mid Level AI ML Engineer Jobs
Mid level ai ml engineer jobs go to engineers ready to own model pipelines end to end, make architecture decisions with limited oversight, and mentor junior teammates. Openings are split across on-site, remote, and hybrid settings in Technology & Software, Electronics & Hardware, and Banking & Financial Services, with General Motors, Amazon Web Services, and Bose hiring at this level now.
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Location: Remote, Massachusetts, United States of America
Category: Engineering
Job ID: R29361
Brand: Bose Corporation, U.S.A
Posted Date: November 1st 2026
widget: Full time
Description
At Bose Corporation, we believe sound is the most powerful force on earth — and for over 60 years, we have been a company built on innovation, excellence, and independence. Privately owned, fiercely customer-focused, and driven by our values, we continue to lead industries and transform lives through sound.
Today, Bose Corporation is entering an exciting new era. Across multiple global Business Units and Global Functions, we are shaping the future of audio technology, automotive, luxury, and premium experiences. We invite you to join us in this transformation.
Job Description
Build AI that people can hear and experience.
At Bose, we believe sound is the most powerful force on earth. As a Machine Learning / AI Engineer, you’ll help bring that belief to life - developing intelligent capabilities for the next generation of audio experiences.
If you enjoy experimenting with models, solving practical problems, and turning ideas into working technology, this is an opportunity to grow your skills while contributing to products and technology that people use every day.
About the Role
You’ll help design, train, test, and optimize machine learning models, with a focus on making AI work efficiently on devices with limited memory and computing power. This work brings together Efficient AI and Edge ML: building models that deliver strong results within the constraints of real products.
You’ll collaborate with engineers across machine learning, software, embedded systems, and hardware. Along the way, you’ll deepen your technical expertise, contribute your ideas, and learn how models move from experimentation toward deployment.
What You’ll Do
- Build and experiment. Develop, train, and evaluate machine learning models for consumer audio applications.
- Make models more efficient. Explore ways to improve accuracy while reducing latency, memory use, and computational demands.
- Connect models to products. Partner with software, embedded, and hardware engineers to help bring AI capabilities onto devices.
- Investigate and improve. Analyze results, debug issues, and use testing to guide your next experiment.
- Learn and contribute. Explore emerging ML techniques, share what you discover, and bring fresh ideas to the team.
What You’ll Bring
- A bachelor’s or advanced degree in Computer Science, Electrical Engineering, Machine Learning, or a related technical field.
- 3+ years of relevant machine learning or AI experience, which may include applicable research or substantial project work.
- A solid foundation in machine learning and deep learning, with hands-on experience building and evaluating models.
- Proficiency in Python and experience with a framework such as PyTorch or TensorFlow.
- Experience training, evaluating, and debugging models—and curiosity about how to make them better.
- An analytical approach to problem-solving, a willingness to ask questions, and enthusiasm for working with others.
Experience That Can Help You Stand Out
You don’t need experience in every area below. We’re interested in the strengths you bring and what you’re excited to learn.
- Techniques such as quantization, pruning, or model compression.
- Edge ML, embedded AI, or deploying models on devices with limited computing resources.
- C/C++ or deployment tools such as ONNX or TensorFlow Lite.
- Audio ML, speech processing, acoustic sensing, or related applications.
- Emerging AI technologies and AI-assisted engineering tools.
At Bose, you're inspired to be and do your best and are rewarded for your unique talents! Our compensation is thoughtfully tailored to your skills, experience, education, and location, and goes beyond base salary. The hiring range for this position in the primary work location of Remote, Massachusetts is: $115,000-$158,200. The hiring range for other Bose work locations may vary.
In addition to competitive base pay we offer rewards including bonus programs, comprehensive health and welfare benefits, a 401(k) plan, plus exclusive perks designed to support your wellbeing, and a generous employee discount where you can immerse yourself in our products and experiences. We are a proudly independent company—driven by purpose, guided by our values, and united by a belief in the power of sound. As the world leader in audio experiences, we’re creating what’s next—pushing boundaries and delivering transformative sound experiences for people everywhere. Join us and make your next career move a mic-drop. Let’s Make Waves.
Location: Remote, Massachusetts, United States of America
Category: Engineering
Job ID: R29361
Brand: Bose Corporation, U.S.A
Posted Date: November 1st 2026
widget: Full time
Description
At Bose Corporation, we believe sound is the most powerful force on earth — and for over 60 years, we have been a company built on innovation, excellence, and independence. Privately owned, fiercely customer-focused, and driven by our values, we continue to lead industries and transform lives through sound.
Today, Bose Corporation is entering an exciting new era. Across multiple global Business Units and Global Functions, we are shaping the future of audio technology, automotive, luxury, and premium experiences. We invite you to join us in this transformation.
Job Description
Build AI that people can hear and experience.
At Bose, we believe sound is the most powerful force on earth. As a Machine Learning / AI Engineer, you’ll help bring that belief to life - developing intelligent capabilities for the next generation of audio experiences.
If you enjoy experimenting with models, solving practical problems, and turning ideas into working technology, this is an opportunity to grow your skills while contributing to products and technology that people use every day.
About the Role
You’ll help design, train, test, and optimize machine learning models, with a focus on making AI work efficiently on devices with limited memory and computing power. This work brings together Efficient AI and Edge ML: building models that deliver strong results within the constraints of real products.
You’ll collaborate with engineers across machine learning, software, embedded systems, and hardware. Along the way, you’ll deepen your technical expertise, contribute your ideas, and learn how models move from experimentation toward deployment.
What You’ll Do
- Build and experiment. Develop, train, and evaluate machine learning models for consumer audio applications.
- Make models more efficient. Explore ways to improve accuracy while reducing latency, memory use, and computational demands.
- Connect models to products. Partner with software, embedded, and hardware engineers to help bring AI capabilities onto devices.
- Investigate and improve. Analyze results, debug issues, and use testing to guide your next experiment.
- Learn and contribute. Explore emerging ML techniques, share what you discover, and bring fresh ideas to the team.
What You’ll Bring
- A bachelor’s or advanced degree in Computer Science, Electrical Engineering, Machine Learning, or a related technical field.
- 3+ years of relevant machine learning or AI experience, which may include applicable research or substantial project work.
- A solid foundation in machine learning and deep learning, with hands-on experience building and evaluating models.
- Proficiency in Python and experience with a framework such as PyTorch or TensorFlow.
- Experience training, evaluating, and debugging models—and curiosity about how to make them better.
- An analytical approach to problem-solving, a willingness to ask questions, and enthusiasm for working with others.
Experience That Can Help You Stand Out
You don’t need experience in every area below. We’re interested in the strengths you bring and what you’re excited to learn.
- Techniques such as quantization, pruning, or model compression.
- Edge ML, embedded AI, or deploying models on devices with limited computing resources.
- C/C++ or deployment tools such as ONNX or TensorFlow Lite.
- Audio ML, speech processing, acoustic sensing, or related applications.
- Emerging AI technologies and AI-assisted engineering tools.
At Bose, you're inspired to be and do your best and are rewarded for your unique talents! Our compensation is thoughtfully tailored to your skills, experience, education, and location, and goes beyond base salary. The hiring range for this position in the primary work location of Remote, Massachusetts is: $115,000-$158,200. The hiring range for other Bose work locations may vary.
In addition to competitive base pay we offer rewards including bonus programs, comprehensive health and welfare benefits, a 401(k) plan, plus exclusive perks designed to support your wellbeing, and a generous employee discount where you can immerse yourself in our products and experiences. We are a proudly independent company—driven by purpose, guided by our values, and united by a belief in the power of sound. As the world leader in audio experiences, we’re creating what’s next—pushing boundaries and delivering transformative sound experiences for people everywhere. Join us and make your next career move a mic-drop. Let’s Make Waves.
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- Technology & Software
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Mid Level AI ML Engineer Jobs: Frequently Asked Questions
How do I get a mid level ai ml engineer job?
Position yourself around ownership, not just contribution. Highlight projects where you made design decisions, shipped models to production, and measured outcomes. Employers at this level want engineers who can drive work forward without step-by-step direction, so lead with impact in your resume, name the scale you operated at, and be specific about the tools and frameworks you used end to end.
Which companies hire mid level ai ml engineers?
Companies hiring mid level ai ml engineers right now include General Motors, Amazon Web Services, and Bose, based on current listings on Migrate Mate as of November 2026. Hiring at this level covers large technology firms, well-funded startups, and enterprise organizations across multiple industries that are scaling applied AI and machine learning teams.
Are there remote mid level ai ml engineer jobs?
Yes, remote and hybrid options are widely available at this experience level. About 58% of mid level ai ml engineer openings are remote or hybrid as of November 2026, reflecting how many employers treat ML engineering as location-flexible work. On-site roles still exist, particularly where teams collaborate closely on infrastructure, data pipelines, or model deployment.
How do I move up to a mid level ai ml engineer role?
Growth from entry level to mid level comes from taking on progressively larger ownership over time. Build depth in at least one specialization, such as model training, deployment, or data engineering. Seek projects where you lead the technical approach, not just execute tasks. Demonstrating measurable impact, such as improving model performance or reducing latency in production, is what signals readiness for the mid level.
Which industries hire the most mid level ai ml engineers?
Mid Level ai ml engineer roles concentrate in Technology & Software, Electronics & Hardware, and Banking & Financial Services, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because they have mature data infrastructure, active model deployment needs, and the budget to support dedicated ML engineering teams building and maintaining production systems.