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Chief Executive Officer-MLSchoolPalo Alto, CA
AI has the potential to transform every industry and change our world. We will have an exponential need for AI talents from all walks of life to build, test and deploy new AI systems.
MLSchool is a seed-stage startup building a new type of Machine Learning teams by providing effective and practical educational resources in Latin America.
We are looking for an exceptional CEO to own the end-to-end success of this company.
Here’s what you will do:
- Set vision of the company and define the strategy to scale
- Develop and maintain foundational business partnerships
- Oversee day-to-day operations in the U.S. and in Latin America
- Hire and retain exceptional talent to grow the team
Here’s the background we’d like you to have:
- Entrepreneurial grit - you are a visionary startup executive who has taken projects from 0 to 1 and beyond. You are ready to roll up your sleeves and willing to be scrappy in order to carry out plans under time and resource constraints
- Leadership - you are a leader and a team player, who can collaborate with teams from a different culture and in different geographies. You can align resources to achieve key business priorities
- Business development skills - you are a strong communicator and are able to sell to early partners and customers. You are also a great listener, who can discover unserved market demand
- Passion for AI education - we are excited to make an impact by bringing quality AI education to a broader audience, and we hope you share our passion
Bonus if:
- You’ve been a founder or have led a team of 10+ people
- Basic literacy on artificial intelligence and machine learning
- You speak Spanish or have ties to Latin America
We hope you will fit well with our team’s culture:
- Strong work ethic: All of us believe in our work’s ability to change human lives. Consequently, we work not just smart, but also hard.
- Growth mindset: We are eager to teach you new skills and invest in your continual development. But learning is hard work, so this is something we hope you’ll want to do.
- Good team member: We care and watch out for each other. We’re humble individually and go after big goals together.
- Flexibility: You should be flexible in your tasks and do whatever is needed, ranging from lower-level tasks such as coordinating complicated schedules, to high-level work such as thinking through corporate strategy.
This is a full-time position based in or around Palo Alto, California. You must already have, or be able to obtain, authorization to work in the United States.
Chief Executive Officer-Shipping.aiPalo Alto, CA
As CEO, you will work at the forefront of bringing AI products to the shipping industry and developing the technology for smarter, and eventually autonomous, vessels.
Maritime shipping is a trillion dollar industry that moves 90% of the world’s trade. It is the backbone of the global economy, and yet is an insular industry that outside technological innovation typically ignores. Successful innovation in maritime shipping requires strong relationships within the industry, something we have built by partnering with several of the world’s leading shipping companies.
You will be ultimately responsible for all aspects of growing the company from a pre-seed startup. You will be directly responsible for building and managing the team, growth and fundraising, refining the product vision and executing upon it, and developing the company’s place within the shipping industry. You will represent the company and build its brand, both internally and externally within the Silicon Valley and shipping communities.
An entrepreneurial mindset is much more important than domain expertise in shipping, but the CEO must be both able and excited to develop that domain expertise quickly.
Here’s what you will do:
- Build and lead a high-performing team of engineers, operators, and potentially shipping domain experts within 6 months while maintaining a culture in line with AI Fund values
- Allocate resources according to the company’s most pressing needs and remove roadblocks for other employees
- Define the path to achieving exponential revenue growth and other robust Series A metrics, starting with driving the existing Proof of Concepts to successful conclusions
- Refine the GTM plan and ensure the offering includes all necessary components of a whole product solution
- Maintain existing partnerships and cultivate relationships with other companies and customers in the industry while developing the requisite expertise in the maritime shipping industry
Here are the skills you should have:
- The ability to inspire your teammates and empower them by putting them in the best position to succeed
- A demonstrated product-first mentality backed by an orientation of extreme ownership over everything related to the company
- Strong communication skills that you can easily adapt to working with engineers and to business development settings alike
- Resourcefulness to impose structure on ambiguous environments and execute quickly
- The ability and desire to learn new fields and industries quickly
- A technical background is not required, but a level of comfort with AI concepts is very helpful
We hope you will fit well with our team’s culture:
- Strong work ethic. All of us believe in our work’s ability to change human lives, and consequently work not just smart, but also hard.
- Growth mindset: We are eager to teach you new skills and invest in your continual development. But learning is hard work, so this is something we hope you’ll want to do.
- Good team member: We care and watch out for each other. We’re humble individually, and go after big goals together.
- Flexibility: You should be flexible in your tasks and do whatever is needed, ranging from lower-level tasks such as coordinating complicated schedules, to high-level work such as thinking through corporate strategy.
This is a full-time position based in or around Palo Alto, California. You must already have, or be able to obtain authorization to work in the United States.
Machine Learning EngineerPalo Alto, CA
AI Fund is a startup studio that systematically creates and launches new companies that bridge the gap between AI technology and business applications in industries we believe push the world forward.
Maritime shipping is a trillion dollar industry that moves 90% of the world’s goods. The global economy and international trade rely on it, and yet it remains an insular industry that outside technology traditionally ignores. Technological innovation in maritime shipping requires strong relationships within the industry, something we have built by partnering with several of the world’s leading shipping companies. By working with Shipping.ai, you will play a leading role in a company at the forefront of bringing AI to the industry enabling our global economy.
The Machine Learning Engineer at Shipping will be responsible for leading ML development of the MVP and proof of concept projects for Shipping. You will be working closely with clients and the team to quickly execute and iterate on the product vision on the path to product market fit. You will play an integral role in shaping the ultimate product, and also serve as a mentor to the team on best practices for running a machine learning project from a research stage to production and deployment.
- Lead technology development and AI architecture design. Make decisions on key AI, ML, and DL architecture for the Shipping product. In addition to Python proficiency and a demonstrable ability to write and maintain medium-sized software codebases, you will be responsible for selecting and applying specific technologies (anomaly detection, supervised learning, CNN/RNN architectures, preprocessing steps, what type of data and labels to collect) as well as designing the overall AI system architecture. These decisions will be made primarily in the context of building an accurate and robust prototype model of fuel consumption for vessels in a 6 week period. Further, these decisions should take into account deployment issues and how best to deploy models in production. As you will be developing a novel product, a thorough understanding of advanced ML concepts backed by a proven track record of designing and delivering ML solutions in industry and/or academia will be critical to the success of our proof of concept projects. Given the novel nature of the product, research experience is preferred but not required. As the model will be used to simulate results under different conditions, experience with APIs and basic simulation techniques is strongly preferred but not required.
- Act as a technical lead for projects. You must be able to help lead small project teams to tackle technically challenging problems in terms of the machine learning and data perspectives. You must be able to select the correct direction in terms of what architecture to use for different problems and how to deal with and organize the data for model training and evaluation. In addition you are expected to be able to communicate engineering effort and issues to the business team and work with them to best help fit the partner/customer needs. You should have strong technical and non-technical communication skills and display an ability to convey complex technical topics to non-technical people without machine learning background. You will likely join meetings with our partners and correspond with their engineering teams, and may also travel to our partner offices to help with implementation. Enterprise experience may be helpful here.
- Quickly master technical and non-technical industry specifics. Maritime shipping is an industry full of tribal knowledge. It will be critical for you to ramp up on terminology and functions that are specific to the shipping and develop a holistic understanding of the industry. This may include understanding engine function, the impact of physical ship characteristics on fuel performance, the importance of weather patterns, and why industry incentives could cause specific data patterns to appear. You should be excited about throwing yourself into learning these technical and non-technical industry characteristics.
- (Bonus)Manage Machine Learning Engineers (MLE). This is not necessarily a management role, but someone who is able to manage an MLE team in the future as the team grows in the coming year would be a significant plus. You must be able to play a very strong tech lead role at the least.
We hope you’ll fit into our culture:
- Strong work ethic: All of us believe in our work’s ability to change human lives, and consequently work not just smart, but also hard.
- Growth mindset: We are eager to teach you new skills and invest in your continual development. But learning is hard work, so this is something we hope you’ll want to do.
- Good team member: We care and watch out for each other. We’re humble individually and go after big goals together.
- Flexibility: You should be flexible in your tasks and do whatever is needed.
This is a full-time position based in Palo Alto, California. You must already have, or be able to obtain, authorization to work in the United States.
Product ManagerPalo Alto, CA
TalkTime is building an AI powered customer contact software that drives efficiency of contact operations, delighting customers and boosting margin by giving high-quality responses faster. We are looking for an entrepreneurial product manager to join us. In this role, you will help drive the end-to-end discovery, design and delivery of TalkTime’s primary product offerings. You will work closely with clients and the TalkTime team to quickly execute and iterate on the product vision and the path to product market fit. You will play an integral role in building the ultimate product, and scoping out the future roadmap.
Here’s what you will do:
- Be a founding member of the startup team
- Lead the ideation, prototyping, and market validation of TalkTime’s AI software, including in-depth understanding of customer needs and pain points
- Work closely with engineering teams on technical development and deployment of high-quality proof of concept projects
- Develop an aggressive product roadmap that supports TalkTime’s vision of using AI to shake up the customer contact industry
- Define and analyze metrics/KPIs that inform the success of products
- Work closely with the AIFund team to build the strategy and direction of the product Contribute to go-to-market, sales, and growth strategy
Here’s the background we’d like you to have:
- Minimum of 1-2 years of product management experience with ownership of at least two shipped products
- Experience working with B2B software design and development teams
- Technical fluency; knowledge of foundational concepts of machine learning, including at least a basic understanding of the technology’s strengths and limitation
- Exposure to NLP problems and applications
- Familiarity with the Agile software development process and commonly used engineering best practices
- Strong communication and collaboration skills
- Excellent customer experience intuition; demonstrated success in creating innovative and user-friendly software applications and customer-facing features
- Entrepreneurial grit- this person should be able to roll up their sleeves and be willing to be scrappy in order to carry out their plans under time and resource constraints. They should have a bias to action.
We hope you will fit well with our team’s culture:
- Strong work ethic: All of us believe in our work’s ability to change human lives. Consequently, we work not just smart, but also hard.
- Growth mindset: We are eager to teach you new skills and invest in your continual development. But learning is hard work, so this is something we hope you’ll want to do.
- Good team member: We care and watch out for each other. We’re humble individually and go after big goals together.
- Flexibility: You should be flexible in your tasks and do whatever is needed, ranging from lower-level tasks such as coordinating complicated schedules, to high-level work such as thinking through corporate strategy.
Bonus if you have:
- You have robust AI experience
- You have previous UI experience
- You’ve worked with international and decentralized teams
This is a full-time position based in or around Palo Alto, California. You must already have, or be able to obtain, authorization to work in the United States.