Machine Learning Engineer, AI Agent Platform
2 weeks ago
The Opportunity We are building a platform for AI Agents to come together and solve arbitrarily complex tasks, leveraging Grammarly’s ubiquitous UI. As a Machine Learning Engineer on this team, you will be at the heart of our company's transformation. Shape the Future of Productivity: Play a pivotal role in evolving Grammarly from a beloved writing assistant into an indispensable, AI-native productivity suite for enterprises. Build a Groundbreaking AI Agent Platform: Spearhead the development of a new platform where multiple AI agents collaborate to solve complex user problems. You will be responsible for the core orchestration, routing, and planning systems. Own Critical ML Systems: Develop and deploy sophisticated ML models for core product experiences, including search ranking and proactive suggestions that anticipate user needs. Integrate Cutting-Edge AI: Work at the forefront of the AI landscape, building ML components that integrate with the latest and most powerful models to create magical user experiences. Thrive in a High-Impact Environment: Join a foundational team where you will operate with a high degree of autonomy and product sense in a fast-paced, ambiguous environment. Ship Your Work Fast: Move quickly from idea to impact. We have no red tape or endless approvals—just a focus on making meaningful contributions to a platform used by millions. Qualifications MS / PhD in Computer Science. 5+ years of industry experience as a machine learning engineer or applied research scientist. A deep understanding of modern algorithms and approaches to ML, NLP, and LLMs. Experience building LLM-based products. A deep care about the end-user experience and strives to ensure high quality. Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable. Is inspired by our MOVE principles: move fast and learn faster; obsess about creating customer value; value impact over activity; and embrace healthy disagreement rooted in trust. We invite you to share your knowledge, experience, and goals with us to help us find the best team match for you. Tell us your superpower Compensation and Benefits Grammarly offers all team members competitive pay along with a benefits package encompassing the following and more: Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits) Disability and life insurance options 401(k) and RRSP matching Paid parental leave 20 days of paid time off per year, 12 days of paid holidays per year, two floating holidays per year, and flexible sick time Generous stipends (including those for caregiving, pet care, wellness, your home office, and more) Annual professional development budget and opportunities Grammarly takes a market-based approach to compensation, which means base pay may vary depending on your location. Our US locations are categorized into two compensation zones based on proximity to our hub locations. Base pay may vary considerably depending on job-related knowledge, skills, and experience. The expected salary ranges for this position are outlined below by compensation zone and may be modified in the future. United States Zone 1: $250,000 - $385,000/year (USD)
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Machine Learning Engineer, AI Agent Platform
2 weeks ago
San Francisco, California, United States Grammarly Full timeSuperhuman offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that helps foster trust, innovation, and a strong team culture.About SuperhumanGrammarly is now part of Superhuman, the AI productivity platform on a mission to unlock the...
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Machine Learning Engineer
2 weeks ago
San Francisco, United States HealthLeap AI Full timeMachine Learning Engineer at HealthLeap AI Join to apply for the Machine Learning Engineer role at HealthLeap AI HealthLeap builds AI that helps clinicians prioritize patients, surfaces the right data, and gets patients the care they need earlier, so they can leave the hospital sooner. We integrate with hospital electronic health record systems, screen 100%...
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Machine Learning Engineer
3 weeks ago
San Francisco, CA, United States AdsGency AI Full timeSenior Machine Learning Engineer – Applied AI / Agent Systems Are you the right applicant for this opportunity Find out by reading through the role overview below. Company: AdsGency AI Relocation to San Francisco City Required We’re AdsGency AI — an AI-native startup building a multi-agent automation layer for digital advertising. Our system uses LLM...
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Machine Learning Engineer
1 day ago
San Francisco, CA, United States Onyx AI Full timeJoin to apply for the Machine Learning Engineer role at Onyx AI Take the next step in your career now, scroll down to read the full role description and make your application. Join to apply for the Machine Learning Engineer role at Onyx AI Get AI-powered advice on this job and more exclusive features. This range is provided by Onyx AI. Your actual pay will...
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Machine Learning Engineer
5 days ago
San Francisco, CA, United States Onyx AI Full timeJoin to apply for the Machine Learning Engineer role at Onyx AI Join to apply for the Machine Learning Engineer role at Onyx AI Get AI-powered advice on this job and more exclusive features. This range is provided by Onyx AI. Onyx is a popular open source project with hundreds of thousands of users. The project has over 10K stars and over 3K...
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San Francisco, United States Skild AI Full timeGet AI-powered advice on this job and more exclusive features.At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within...
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Senior Machine Learning Engineer
1 week ago
San Francisco, CA, United States Top Engineer Full timeTOP ENGINEER JOB POST!!! Confidential Search for International Employer Industry: Social Commerce / AI Technology Degree: BS in Computer Science or Mathematics from Top 40 University Experience: 4-8 years in Production ML Systems AI-POWERED SOCIAL COMMERCE REVOLUTION Role: Senior Machine Learning Engineer - Multimodal AI Join a leading partner in social...
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Senior Machine Learning Engineer II, NLU
3 weeks ago
San Francisco, United States Moveworks Full timeSenior Machine Learning Engineer, NLU & Agentic AIJoin to apply for the Senior Machine Learning Engineer, NLU & Agentic AI role at Moveworks.About the RoleWe are seeking an experienced software engineer with machine learning expertise to help expand Moveworks' NLU (natural language understanding) and agentic AI capabilities. Your work will enable more...
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Machine Learning Engineer, Public Sector
2 weeks ago
San Francisco, CA, United States Scale AI Full timeMachine Learning Engineer, Public Sector Make sure to read the full description below, and please apply immediately if you are confident you meet all the requirements. Machine Learning Engineer, Public Sector Scale AI The goal of a Machine Learning Engineer at Scale is to leverage techniques in the fields of generative AI, computer vision,...
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Machine Learning Engineer
7 days ago
San Francisco, CA, United States Onyx AI Full timeJoin to apply for the Machine Learning Engineer role at Onyx AI Join to apply for the Machine Learning Engineer role at Onyx AI Get AI-powered advice on this job and more exclusive features. This range is provided by Onyx AI. Your actual pay will be based on your skills and experience talk with your recruiter to learn more. Base pay range $150,000.00/yr -...
