Please note - this role requires someone LIVING in SF Bay Area

Our client is not just another start up on the block. They are here with a grand mission to use AI to help humanity come together to solve complex problems. Their main goal is improving productivity by helping to streamline the decision-making process.

Are you ready to be the superhero of our engineering team?

Skills We Need:

Mathematical Foundations:
Optimization: Understanding linear, nonlinear, and combinatorial optimization techniques.
Game Theory: Knowledge of cooperative and non-cooperative games, Nash equilibria, and mechanism design.
Probability and Statistics: Proficiency in probabilistic models, statistical inference, and stochastic processes.
Graph Theory: Understanding network structures, algorithms, and their applications in consensus problems.
Dynamical Systems: Knowledge of stability, convergence, and control theory.
Computational Skills:
Programming Languages: Proficiency in Python, R, MATLAB, or other relevant languages for mathematical modeling and simulations.
Algorithm Design: Experience in designing and implementing efficient algorithms.
Machine Learning: Understanding of machine learning algorithms, especially those related to reinforcement learning and neural networks.
Data Analysis: Skills in data manipulation, visualization, and analysis using tools like Pandas, NumPy, and Matplotlib.
Domain-Specific Knowledge:
Multi-Agent Systems: Understanding the principles of multi-agent systems, including agent communication, negotiation, and cooperation.
Consensus Algorithms: Familiarity with distributed consensus algorithms such as Byzantine fault tolerance, Paxos, and Raft.
Economics and Social Choice Theory: Knowledge of economic models, voting systems, and collective decision-making processes.
Soft Skills:
Problem-Solving: Ability to approach complex problems methodically and develop innovative solutions.
Collaboration: Experience working in interdisciplinary teams and communicating complex ideas to non-experts.
Research Skills: Ability to stay updated with the latest research and apply theoretical concepts to practical problems.
Critical Thinking: Strong analytical skills to evaluate different approaches and their potential impact.
Experience and Tools:
Simulation Software: Experience with simulation tools such as AnyLogic or NetLogo.
Version Control: Proficiency with version control systems like Git.
Optimization Libraries: Familiarity with optimization libraries like CPLEX, Gurobi, or SciPy.

The Ideal Hero:

1. Startup Veteran: Been there, done that, got the experience to prove it.

2. Mature Genius: many years of wisdom and still coding like you are a Redbull star.

3. Global Citizen: Multicultural? International? We love it. The more passports, the better.

4. Bay Area Local: Our bat-signal shines in the Bay Area. Be ready to respond!

5. Conscious Leader: If you've meditated, soul-searched, or walked on hot coals, you're our type.

6. Applied Mathematics wizard.

Why You’ll Love Us:

Be at the forefront of AI innovation, working on projects that matter.

Join a dynamic, innovative startup environment with passionate and brilliant colleagues.

Enjoy the freedom to shape and drive a key area of our organization, with direct impact on our platform and growth.

Fulcher Davis Associates jobs

Sr. Engineer, Applied Mathematics