Inworld AI
Staff / Principal Machine Learning Engineer
Staff / Principal Machine Learning Engineer
Get AI-powered advice on this job and more exclusive features. Direct message the job poster from Inworld AI At Inworld, we believe the processes of building, scaling, and evolving applications are monsters that consume value before it can reach users. Our mission is to solve evolution and transform static software into AI systems that autonomously evolve to better serve their users. We are building an intelligent runtime to conquer these monsters and make this vision a reality. We are backed by investors such as Lightspeed, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, BITKRAFT, Founders Fund, and First Spark Ventures. Our technology is used by category leaders, including NVIDIA, Microsoft Xbox, Niantic, Wishroll, Little Umbrella and Streamlabs, among many others. Inworld has been recognized by CB Insights as one of the 100 most promising AI companies globally and has been named one of LinkedIn's Top 10 Startups in the USA. About the role Our intelligent runtime must seamlessly connect to foundational models - whether via APIs or running locally - and autonomously evolve an application's logic. For this to be possible at scale, not only the runtime has to be reliable and flexible, but the models it uses need to be state-of-the-art quality, exceptionally fast, and cost-effective. We are seeking Staff and Principal level Machine Learning Engineers to solve these critical challenges. You will be responsible for researching, building, optimizing, and deploying the production ML systems that power our platform. Your work will focus on the difficult research and engineering problems of building the engine for the next generation of AI-driven software. Responsibilities Experiment with and implement cutting-edge ML models and techniques to advance our core AI capabilities. Train, evaluate, and optimize production-scale models and systems, focusing on quality, latency, cost, and on-device constraints. Collaborate with product and backend teams to translate novel ideas and research findings into robust, production-ready solutions. Qualifications A PhD in a relevant technical field, or a BA/BS degree with equivalent research and/or engineering experience. 5+ years of combined experience in software development (Python, C++) and applied ML engineering. Demonstrated experience applying or researching ML in domains such as natural language processing, speech processing, and/or action planning. Strong foundation in data structures, algorithms, and neural network architectures. Proficiency with ML frameworks such as PyTorch. A good fit for this role may have A passion for learning and staying up-to-date with the latest advancements in ML research and its applications. Ability to work collaboratively in a fast-paced environment with shifting priorities. Familiarity with pre-training, fine-tuning, RLHF and evaluation of large language and speech models. Knowledge of working with embedded systems and/or running ML on edge devices. Strong background in mathematics and/or physics. We believe in the power of in-person collaboration to solve the hardest problems and foster a strong team culture. We offer relocation assistance and look forward to you joining us in our Mountain View office. The base salary range for this full-time position is $240,000 - $385,000+ bonus + equity + benefits. Seniority level
Seniority level Not Applicable Employment type
Employment type Full-time Job function
Industries Software Development Referrals increase your chances of interviewing at Inworld AI by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Paid maternity leave Paid paternity leave Get notified when a new job is posted. Sign in to set job alerts for “Machine Learning Engineer” roles.
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Staff / Principal Machine Learning Engineer
Get AI-powered advice on this job and more exclusive features. Direct message the job poster from Inworld AI At Inworld, we believe the processes of building, scaling, and evolving applications are monsters that consume value before it can reach users. Our mission is to solve evolution and transform static software into AI systems that autonomously evolve to better serve their users. We are building an intelligent runtime to conquer these monsters and make this vision a reality. We are backed by investors such as Lightspeed, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, BITKRAFT, Founders Fund, and First Spark Ventures. Our technology is used by category leaders, including NVIDIA, Microsoft Xbox, Niantic, Wishroll, Little Umbrella and Streamlabs, among many others. Inworld has been recognized by CB Insights as one of the 100 most promising AI companies globally and has been named one of LinkedIn's Top 10 Startups in the USA. About the role Our intelligent runtime must seamlessly connect to foundational models - whether via APIs or running locally - and autonomously evolve an application's logic. For this to be possible at scale, not only the runtime has to be reliable and flexible, but the models it uses need to be state-of-the-art quality, exceptionally fast, and cost-effective. We are seeking Staff and Principal level Machine Learning Engineers to solve these critical challenges. You will be responsible for researching, building, optimizing, and deploying the production ML systems that power our platform. Your work will focus on the difficult research and engineering problems of building the engine for the next generation of AI-driven software. Responsibilities Experiment with and implement cutting-edge ML models and techniques to advance our core AI capabilities. Train, evaluate, and optimize production-scale models and systems, focusing on quality, latency, cost, and on-device constraints. Collaborate with product and backend teams to translate novel ideas and research findings into robust, production-ready solutions. Qualifications A PhD in a relevant technical field, or a BA/BS degree with equivalent research and/or engineering experience. 5+ years of combined experience in software development (Python, C++) and applied ML engineering. Demonstrated experience applying or researching ML in domains such as natural language processing, speech processing, and/or action planning. Strong foundation in data structures, algorithms, and neural network architectures. Proficiency with ML frameworks such as PyTorch. A good fit for this role may have A passion for learning and staying up-to-date with the latest advancements in ML research and its applications. Ability to work collaboratively in a fast-paced environment with shifting priorities. Familiarity with pre-training, fine-tuning, RLHF and evaluation of large language and speech models. Knowledge of working with embedded systems and/or running ML on edge devices. Strong background in mathematics and/or physics. We believe in the power of in-person collaboration to solve the hardest problems and foster a strong team culture. We offer relocation assistance and look forward to you joining us in our Mountain View office. The base salary range for this full-time position is $240,000 - $385,000+ bonus + equity + benefits. Seniority level
Seniority level Not Applicable Employment type
Employment type Full-time Job function
Industries Software Development Referrals increase your chances of interviewing at Inworld AI by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Paid maternity leave Paid paternity leave Get notified when a new job is posted. Sign in to set job alerts for “Machine Learning Engineer” roles.
Palo Alto, CA $160,000.00-$180,000.00 2 weeks ago Mountain View, CA $145,000.00-$170,000.00 1 week ago Mountain View, CA $138,225.00-$207,575.00 1 week ago Software Engineer, AI Platform - New Grad
Mountain View, CA $145,000.00-$170,000.00 1 week ago Software Engineer (L4), Content & Business Products
San Francisco Bay Area $160,000.00-$180,000.00 2 weeks ago Palo Alto, CA $96,000.00-$200,000.00 2 weeks ago Palo Alto, CA $140,000.00-$185,000.00 21 hours ago Mountain View, CA $130,000.00-$176,000.00 3 days ago San Jose, CA $100,500.00-$173,250.00 2 days ago Palo Alto, CA $107,000.00-$145,400.00 2 weeks ago San Jose, CA $113,400.00-$206,300.00 1 week ago San Jose, CA $113,400.00-$206,300.00 1 week ago Palo Alto, CA $115,000.00-$260,000.00 2 weeks ago San Jose, CA $113,400.00-$206,300.00 1 week ago Software Engineer, Google Store, Front End
Mountain View, CA $141,000.00-$202,000.00 2 weeks ago eCommerce Full Stack Developer (React / Shopify) - On Site
San Jose, CA $93,200.00-$170,600.00 1 week ago Palo Alto, CA $140,000.00-$265,000.00 20 hours ago San Jose, CA $113,400.00-$206,300.00 1 week ago Software Development Engineer - Front End
San Jose, CA $133,900.00-$242,000.00 3 days ago Menlo Park, CA $157,000.00-$230,000.00 2 weeks ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr