Full-time

Join Grammarly's Enterprise team as a Machine Learning Engineer focusing on NLP to help build AI-driven products for Enterprise customers.

Join Ibotta as a Machine Learning Engineer and work on innovative machine learning solutions to power real-world applications.

Join Microsoft as a Senior Applied Scientist and contribute to advancing AI research and technologies that drive product innovation and business impact.

Apple is seeking a Machine Learning Engineer to develop and integrate large-scale machine learning systems, working with cloud data processing technologies and ML modeling frameworks.

Photon is seeking a Data Scientist to develop and implement advanced AI models, including generative AI and large language models (LLMs), while working closely with stakeholders to address business challenges through data-driven solutions.

Sourcegraph is seeking an experienced full-stack ML engineer to join their team and work on advancing their world-class code intelligence platform. This role involves productionizing large-scale ML models, developing feature pipelines, and driving business impact with AI-powered solutions.

MultiOn is seeking a visionary engineer experienced in AI, Full Stack, Backend, and Front End development to work on building revolutionary AI products like a JARVIS-like personal AI agent.

Microsoft is hiring a Principal Applied Scientist in Redmond, WA with a salary range of $137,600 - $294,000 annually. Key responsibilities include building machine learning models, working with NLP, and crafting prompts for LLMs. Required experience includes machine learning, deep learning frameworks (TensorFlow, PyTorch), and algorithm development. Benefits include health insurance, retirement, and paid leave.

Quantcast is hiring a Sr. Machine Learning Engineer in San Francisco, CA with a salary range of $171,700 - $232,300 annually. The role involves building large-scale ML systems that handle millions of real-time requests per second, running ML experiments, and optimizing system performance. The position requires strong skills in Python, Java, ML algorithms, and statistics.

Oracle is seeking a Senior Applied Scientist in the United States to work on innovative AI solutions in healthcare and enterprise using Large Language Models (LLMs) and Generative AI. The role focuses on product development within the Oracle Health & AI team, with a strong emphasis on delivering scalable AI models and mentoring junior scientists.

Noblis is hiring a Data Scientist with AI/ML expertise. The role pays $61,600 - $96,250 annually and requires experience in TensorFlow, PyTorch, and Python. Key tasks include developing ML models and running AI experiments. Benefits include health insurance, retirement plans, and tuition reimbursement. Noblis values diversity and inclusion.

Principal Scientist, Generative Deep Learning at Johnson & Johnson, with a salary of $113,000 - $195,500. Requires a PhD, AI/ML expertise, and experience with TensorFlow or PyTorch. Offers comprehensive benefits. Based in Spring House, PA, or Cambridge, MA, with remote options.

TikTok is seeking a candidate in San Jose, CA, with a salary range of $194,000 - $355,000 annually. The role involves enhancing recommendation algorithms for tools like CapCut. Required skills include coding, machine learning, and problem-solving. TikTok offers a diverse, inclusive work environment with benefits like medical coverage, paid leave, and a 401(k) match.

The Data Scientist position at Volvo Financial Services in Greensboro, NC, focuses on creating AI tools to improve business processes. The role requires experience in data science, machine learning, SQL, and cloud technologies, offering a competitive salary and a supportive work environment committed to diversity and inclusion.

Amazon's AWS Field Experiences Generative AI team in Boston is hiring a Machine Learning Engineer to design and develop scalable AI models using generative AI and deep learning. The role requires 3+ years of software development experience and involves building architectures and data pipelines to enhance AWS seller tools. Amazon promotes a diverse, inclusive, and flexible work environment.

NVIDIA is seeking a Software Engineer in Westford, MA, to join their Developer Tools team, focusing on deep learning and neural network model optimization. Candidates should have a Master’s degree in computer science or related fields, 5 years of technical experience, deep learning expertise, and proficiency in Python or C++. The salary range is $148,000-$276,000, with equity and benefits.

Apple is seeking a Senior Computer Vision & Machine Learning Engineer in Culver City, CA, offering $135,400-$250,600 annually. Responsibilities include developing creative tools and models for products like Final Cut Pro. Candidates should have a Master’s or PhD, 3-5 years of experience, and expertise in computer vision and deep learning. Benefits include stock options, health insurance, and retirement plans.

Google is hiring a Software Engineer for their Search team to develop and deploy ML-based recommendation models, requiring 4 years of experience in machine learning, Python, and recommender systems. Preferred qualifications include a Master's/PhD in Computer Science and experience in software development. Salary: $161,000-$239,000.

ByteDance seeks an AR/VR Software Engineer in San Jose, CA, with a salary of $102,000 - $210,000 to develop prototypes and applications using Swift, Kotlin, Unity, and AI models. Candidates need a Master's or Ph.D. in Computer Science and 3+ years of relevant experience.

Google seeks a Technical Program Manager to manage LLM pre-training infrastructure, requiring a Bachelor's degree, 8 years of program management experience, and ML/AI expertise. Salary: $168,000-$252,000.

Chase is hiring a full-time Machine Learning Engineer in New York, with a salary of $129,250 - $195,000. The role involves developing ML models, managing ML Ops, and analyzing data to improve customer products. Required qualifications include a Master’s or Ph.D. in a relevant field and expertise in machine learning and cloud environments.

OpenAI is seeking a full-time Distributed Systems/ML Engineer in San Francisco, with a base salary of $245K–$385K and a competitive benefits package. This includes equity, comprehensive insurance, unlimited time off, paid parental leave, and a learning stipend.

This role involves creating advanced GeoAI solutions, implementing state-of-the-art computer vision models, and handling geospatial datasets for national security. Key qualifications include expertise in deep learning frameworks, containerized applications, and image preprocessing. Candidates must have a Bachelor's or Master's degree in a relevant field and 5+ years of experience. The position offers significant professional growth opportunities and a competitive benefits package.

A Machine Learning Engineer position at TikTok in San Jose, CA. The role offers an annual salary range of $113,500 - $250,000 and involves developing large-scale ads systems and applied machine learning projects for TikTok's monetization technology teams.

The Applied AI team at Uber seeks a full-time engineer to develop and deploy AI solutions, particularly in Generative AI, Computer Vision, and ML Optimization. The role requires expertise in programming, machine learning, and data architecture, with a preference for those experienced in ML production and cross-team collaboration.

GPTZero’s mission is to restore information quality and transparency on the internet. Our team comprises experts from high-performing engineering cultures like Uber, Meta, Microsoft, and leading AI research labs such as Princeton, Caltech, Vector, and MILA. We develop cutting-edge AI solutions including AI detection, AI hallucination detection, retrieval-augmented generation, and writing stylometry, serving over 3 million active users and enterprise clients, including Fortune 1000 and Unicorn AI companies.

The Earner Incentive team at Marketplace builds ML solutions for incentives to improve marketplace balance and efficiency. The team builds machine learning systems to solve critical ML problems in Marketplace such as forecasting undersupply geo and times, optimizing incentive levers to influence marketplace dynamics, and understanding earner behaviors and preferences for targeting / personalization.