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Our client, are an AI-driven company revolutionizing the healthcare industry, and they are hiring an Applied AI Engineer to join the team in Austin, Texas. The successful candidate will manage project planning and execution, working with multiple stakeholders to effectively navigate complex requirements.


Responsibilities

• As the Applied AI Engineer, you will oversee project planning and execution, coordinating with multiple stakeholders to navigate complex requirements through strategic prioritization.

• You will be tasked to deliver consistently high-quality, maintainable code while keeping up with the latest industry trends and tools.

• Equip team members with the essential AI tools and processes, enabling them to address challenges independently.

• Provide continuous, high-level support to engineers of all levels, sharing your expertise in software engineering best practices.

Skillset

• Bachelor’s or Master’s degree in Computer Science or equivalent.

• Minimum of ten years experience working in the tech industry.

• Proven experience in developing and supporting production-grade applications.

• Expertise in JavaScript, TypeScript, Node.js, Python and/or Go.

• Proficient in modern cloud infrastructure stacks, preferably on AWS using Infrastructure as Code.

• Familiar with Agile product development methodologies, including SCRUM, Kanban and Lean Startup.

• Excellent communication skills, capable of conveying complex technical concepts to both technical and non-technical audiences.

Benefits

• Salary: $190k - $250k DOE

• Equity

• Medical, dental and vision insurance.

Interested? Apply Now in the link below.

• As a Machine Learning Data Scientist, you will develop automatic detection systems for critical events.
• Provide architectural guidance in areas such as annotation, training, deep learning, big data management, DevOps and high-performance computing.
• Optimize the ML-DevOps framework to enhance all aspects of the machine learning processing baseline.
• Facilitate the development and implementation of advanced algorithms for critical event detection.
• Collaborate across functional teams to ensure effective communication and project delivery.

• At least five years of experience in machine learning or related fields.
• Master’s or PhD degree in Engineering, Computer Science, Mathematics or similar.
• Familiarity with CNNs (Convolutional Neural Networks) and ANNs (Artificial Neural Networks).
• Proven experience with machine learning applications, including computer vision and natural language processing.
• Proficient in machine learning frameworks such as TensorFlow, PyTorch and AWS.
• Strong understanding of machine learning libraries, algorithms and analytical methodologies.
• Proficient coding skills in multiple programming languages such as Java, C++, Python or Scala.
• Experience with both SQL and NoSQL databases, including MySQL and MongoDB.
• Must currently possess or be able to obtain Top Secret/SCI with Polygraph Clearance Level.
• U.S. Citizenship required.

Our client, a pioneering leader in content creation, is hiring an AI Research Scientist to join their team on-site in Santa Clara, California. The successful candidate will lead cutting-edge research in generative AI, driving innovation in content creation across industries like virtual reality, film and gaming.


Responsibilities

• As the AI Research Scientist, you will be responsible for pioneering research in multimodal large language models (LLMs), diffusion models and AI agents

• You will develop and implement models and algorithms to generate large-scale assets and environments from text or images, enhancing the capabilities of the company’s AI-driven creative tools.

• Collaborate closely with the engineering team to integrate your research into the product, influencing industries like game development, film and more.

• Contribute to the AI research community by publishing papers, presenting at top conferences and participating in open-source collaborations.

Skillset

• Ph.D. in Computer Science, AI or similar.

• At least five years of relevant AI research experience.

• A robust publication record in AI or machine learning conferences and journals

• Advanced skills in Python and machine learning frameworks such as PyTorch or TensorFlow.

• Background in computer vision or graphics, with a portfolio that highlights relevant projects or publications.

• Experience with software like Blender, Houdini, Unreal Engine or Unity is a plus.

Benefits

• Salary: Circa $200k

• Stock options

Interested? Apply Today in the link below.

• As the Founding Engineer, you will design, build and oversee the technical infrastructure of the company’s platform.
• You will collaborate with the founding team to develop scalable and innovative solutions.
• Set and uphold engineering standards and best practices.
• Manage daily engineering tasks, resolve issues and contribute to the technical strategy.
• Mentor team members and promote a collaborative development culture.

• Bachelor's degree in Computer Science or similar.
• Minimum of eight years of experience as a software engineer in managing large-scale production systems.
• Proven expertise in designing architecture for enterprise-level systems.
• Deep understanding of data structures, algorithms and system design principles.
• Proficiency in programming languages such as Python, JavaScript and Java.
• Experience in database management and performance optimization.
• Hands-on experience with machine learning concepts and tools.
• Previous experience working in a startup is a plus.

• Salary: $120 - $160k
• Remote working options. 
• Equity

Our client is an AI-driven company and they are hiring a Machine Learning Scientist to work full-time from their offices in New York. The successful candidate will design and build advanced machine learning systems to enable fully automated, closed-loop decision-making for large enterprises.


Responsibilities

• As the Machine Learning Scientist, you will design, train, deploy and maintain machine learning models in production environments.

• Leverage transformer models, deep learning frameworks and reinforcement learning techniques.

• Balance rapid experimentation with the development of long-term, scalable solutions.

• Work closely with cross-functional teams to implement robust, scalable AI systems.

• Drive innovation and contribute to the broader scientific community through research publications and open-source projects.

Skillset

• Strong experience in training, deploying and maintaining machine learning models in production environments.

• Advanced expertise in deep learning frameworks such as PyTorch, TensorFlow and Ray.

• Expertise in developing and optimizing large-scale, high-performance machine learning systems.

• Strong passion for AI, clean coding practices, and building scalable ML solutions.

• Familiarity with active learning, reinforcement learning, causal inference, or online learning techniques is desirable.

• Expertise in experimental design and Bayesian uncertainty estimation is a plus.

• Excellent communication skills, enabling effective collaboration within cross-functional teams.

Benefits

• Salary: $135,000 - $200,000

• Equity

• Healthcare, vision and dental insurance.

• 401(k) Retirement Plan.

Interested? Apply Now in the link below.

Our client are a growing Biotech startup and they are hiring a Lead Computational Biologist to join the team on a hybrid working model in South San Francisco. The successful candidate will enjoy a key role in their AI/Machine Learning team and will develop start of the art multi-omics computational biology methods and ML Models for the company’s unique drug discovery platform.  


Responsibilities

• Develop Machine Learning methods to generate and evaluate hypothesis for drug development from high content biopharma omics.

• Work with a team of Bioinformatics, Cheminformatics, Machine Learning Engineers and others to synthesize data, validate methods and functionality.

• Process research papers, evaluate & integrate commercial & publically available frameworks and methods.

• Industrialize multi-omics computational approaches and proof of concept to implementation and scale them with robust ML engineering pipelines.

 

Skillset

• PhD or Master’s degree in Computational Biology, Bioinformatics or similar.

• Strong knowledge of molecular biology, proteomics and / or genomics.

• Strong hands-on experience developing Machine Learning methods for omics data.

• Expertise in current computational tools required to process and analyze a variety of biopharma datasets.

• Practical understanding of Machine Learning fundamentals, models and algorithms.

• Expertise in modern AI tech stack.

 

Benefits

• Salary: Up to €250k DOE

• Equity

• Comprehensive benefits package

Interested? Apply now in the link below