AI Engineer - Machine Learning

WerQ AI is at the forefront of leveraging AI to redefine the future of work for professionals and corporations, and we are seeking a visionary Vice President of Engineering for our Machine Learning & AI division. In this executive role, you will be responsible for leading the engineering teams that drive our AI and machine learning initiatives, ensuring that we remain competitive in a rapidly evolving market. You will define the strategic direction, oversee research and development, and foster a culture of innovation and collaboration. Your leadership will enable us to deliver cutting-edge AI solutions that enhance user experiences and optimize organizational performance. If you are passionate about AI and have a proven track record in engineering leadership, we would love to have you on board to help shape the future of our company.

Responsibilities

• Define the vision and strategic direction for machine learning and AI engineering at WerQ AI.
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Are you an AI enthusiast with a passion for applying cutting-edge machine learning techniques to solve real-world problems? Do you thrive in environments where you can build intelligent models that drive data-driven decisions and power innovative products? If you’re excited about using machine learning to develop and deploy scalable solutions that make an impact, then our client has the perfect role for you. We’re looking for a Machine Learning Engineer (aka The AI Innovator) to design, implement, and optimize machine learning models that unlock the potential of data.

As a Machine Learning Engineer at our client, you’ll work closely with cross-functional teams to develop intelligent algorithms, process large datasets, and deploy machine learning models that enhance product functionality. Whether it’s building recommendation engines, predictive models, or optimizing existing systems, you’ll be at the forefront of AI...

Are you an AI enthusiast with a passion for applying cutting-edge machine learning techniques to solve real-world problems? Do you thrive in environments where you can build intelligent models that drive data-driven decisions and power innovative products? If you’re excited about using machine learning to develop and deploy scalable solutions that make an impact, then our client has the perfect role for you. We’re looking for a Machine Learning Engineer (aka The AI Innovator) to design, implement, and optimize machine learning models that unlock the potential of data.

As a Machine Learning Engineer at our client, you’ll work closely with cross-functional teams to develop intelligent algorithms, process large datasets, and deploy machine learning models that enhance product functionality. Whether it’s building recommendation engines, predictive models, or optimizing existing systems, you’ll be at the forefront of AI...

Come Revolutionize Accounting with AI  

We're a seed-stage AI startup led by a founding team of AI startup veterans on a mission to revolutionize the accounting industry. We're seeking an exceptional AI Engineer to help turn our vision into reality. We are combining reasoning, machine learning, and generative AI to augment and democratize the expertise of accountants, empowering individuals and small businesses to make more informed financial decisions. 

Join us in shaping the future of accounting and helping our clients achieve better financial outcomes!  

What You'll Do: 

• Design, implement, and deploy machine and deep learning models and natural language processing models for applications across accounting, including forecasting, estimation, and classification; and document understanding. 
• Design and implement core deep learning/machine learning components...

Location: Usa/Usa/California/Sf Bay Area, Seattle

Sponsor Visa? Yes

Requirements

1. Excellent coding ability, data structures, and fundamental algorithm skills, proficient in C/C++ or Python, winners of competitions such as ACM/ICPC, NOI/IOI, Top Coder, Kaggle, etc. are preferred;

2. Experience in one or more of the following areas: NLP, Ranking, Ads, search engine, recommender system, distributed system, and machine learning.

3. Familiar with NLP, CV-related algorithms, technologies, and familiar with large-scale model training and RL algorithms are preferred;

4. Excellent problem analysis and solving skills, able to deeply solve problems in large-scale model training and application;

5. Good communication and collaboration skills, able to explore new technologies with the team and promote technological progress. XXX is committed to creating an inclusive space where employees are valued...