Machine Learning, AI Engineer

🔥 1 minute ago

🍂 Massachusetts – Remote

🍂 Massachusetts – Remote

💵 $115k - $158.2k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Bose Corporation

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

🚘 Automotive

🏭 Manufacturing

🍽️ Food & Beverage

💰 $430.2k Equity crowdfunding on 2017-12

Automotive • Manufacturing • Food & Beverage

<Bose Corporation> is a global audio equipment company that designs, manufactures, and sells consumer and professional sound products, including headphones, earbuds, speakers, home theater systems, portable PA systems, and aviation headsets. The company operates direct-to-consumer online retail, offers protection plans and trade-in programs, and provides support services like repairs and corporate gifting. Bose emphasizes premium audio performance, noise-cancellation technology, and lifestyle-oriented marketing.

📋 Description

• Develop, train, and evaluate machine learning models for consumer audio applications • Improve model accuracy while reducing latency, memory use, and computational demands • Partner with software, embedded, and hardware engineers to bring AI capabilities onto devices • Analyze results, debug issues, and use testing to guide experiments • Explore emerging ML techniques, share discoveries, and contribute ideas to the team

🎯 Requirements

• 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, including applicable research or substantial project work • Solid foundation in machine learning and deep learning • Hands-on experience building and evaluating models • Proficiency in Python • Experience with PyTorch or TensorFlow • Experience training, evaluating, and debugging models • 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

🏖️ Benefits

• Bonus programs • Comprehensive health and welfare benefits • 401(k) plan • Exclusive perks designed to support wellbeing • Generous employee discount • Competitive base pay

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume