Deep Tech, Ai, And Big Data Engineers

Cofounder Opportunity: Deep Tech, AI, and/or Big Data Engineers

Company Overview:

SYNZE is a cutting-edge startup focused on critical materials decarbonization in the heavy industry sector. Our mission is to develop scientific solutions to address the environmental challenges associated with saltwater, direct air capture, cement, steel, fuels, materials, batteries, fertilizers, plastics, waste, and hydrogen. By leveraging advancements in metallurgy, chemistry, physics, engineering, and material science, we aim to revolutionize sustainable practices in these industries.

Responsibilities:

As a Deep Tech, AI, and/or Big Data Engineer at SYNZE, you will play a crucial role in developing innovative solutions and/or algorithms to address the complex challenges faced by the heavy industry. Your responsibilities will include:

• Collaborating with cross-functional teams to translate research findings into practical applications and actionable recommendations.
• Conducting thorough research and staying up-to-date with the latest advancements in deep tech, AI, and big data in climate to drive innovation within the company.
• Developing and deploying advanced algorithms or scientific approaches to optimize processes related to saltwater treatment, direct air capture, cement production, steel manufacturing, fuel synthesis, materials development, battery technologies, fertilizer production, plastic recycling, waste management, and hydrogen production.
• Designing and implementing scalable, secure, and efficient software or hardware solutions to support the data analysis and modeling needs of the organization.
• Applying artificial intelligence and machine learning techniques to analyze large datasets and extract meaningful insights.
• Collaborating with a multidisciplinary team of scientists, engineers, and researchers to design and implement data-driven approaches, novel processes, or systems-level solutions.

Requirements:

To be successful in this role, you should possess the following qualifications:

• A degree (Bachelor's, Master's, or Ph.D.) in a relevant field such as computer science, data science, engineering, physics, chemistry, material science, or a related discipline.

Options Requirements:

• Experience with big data technologies and frameworks, such as Hadoop, Spark, or TensorFlow.
• Strong problem-solving skills and the ability to think creatively to devise innovative solutions.
• Proficiency in programming languages such as Python, Java, or C++.
• Strong knowledge and experience in deep tech, AI, and big data engineering, including expertise in developing and implementing machine learning models, data mining, and statistical analysis.
• Familiarity with cloud platforms, such as AWS, Azure, or Google Cloud.
• Excellent communication skills and the ability to collaborate effectively in a multidisciplinary team.

What We Offer:

• A dynamic and collaborative work environment that encourages innovation and creativity.
• The opportunity to work on groundbreaking projects and contribute to the decarbonization of heavy industries.
• Access to state-of-the-art tools, resources, and technologies to support your work.
• Opportunity to earn equity in the company based on commitment to success.
• The chance to make a significant impact on sustainability and shape the future of critical materials decarbonization.

If you are a passionate and forward-thinking engineer with expertise in deep tech, AI, and big data, and if you want to be part of a team that is revolutionizing heavy industry practices, we invite you to join SYNZE. Apply today to become a key contributor to our mission of driving sustainable innovation.