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A health technology company at the top of their industry is seeking a Machine Learning Engineer to join its research and development team. This full-time opportunity offers the chance to build advanced machine learning systems that power next-generation wearable and sensor-based health products. The team works heavily with Python, TensorFlow, PyTorch, Spark, signal processing, and large-scale physiological datasets to create meaningful consumer health insights. This is a true zero-to-one engineering opportunity. Rather than maintaining existing models, this individual will help invent entirely new sensing capabilities, develop multimodal AI solutions, and influence the future roadmap of emerging health technologies. The organization values innovation, scientific rigor, and collaboration while providing significant ownership, rapid career growth, and the opportunity to see research move directly into production products used by customers worldwide. Required Skills & Experience 3+ years of machine learning engineering experience Strong Python development experience Experience with TensorFlow and/or PyTorch Background working with sensor, wearable, physiological, or time-series data Experience developing and deploying machine learning models Understanding of signal processing techniques Strong mathematical and statistical foundations Bachelor's degree in Computer Science, Engineering, Mathematics, Data Science, or similar Desired Skills & Experience PhD in Machine Learning, AI, Computer Science, Statistics, Biomedical Engineering, or related field Publications in top-tier ML conferences or journals Experience with self-supervised learning Experience with multimodal machine learning Consumer wearable or medical device industry experience Spark or distributed computing experience Experience working with production-scale data pipelines What You Will Be Doing Tech Breakdown 40% Machine Learning Development 25% Signal Processing & Sensor Analytics 20% Data Engineering & Spark 15% Research & Experimentation Daily Responsibilities 80% Hands On Engineering 20% Team Collaboration The Offer Competitive Salary Equity Program You Will Receive The Following Benefits Medical, Dental, and Vision Insurance Generous PTO Paid Holidays Equity Participation Career Development Opportunities Applicants must be currently authorized to work in the US on a full-time basis now and in the future. Posted By: Charles Deuter
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.