About our company
Optimal Dynamics is on a mission to automate and optimize the logistics industry through the use of advanced analytics. We are based on more than three decades of R&D at Princeton University and represent the most sophisticated technology ever developed for the logistics industry. Our customers experience sustained, tangible results with double-digit revenue lift after integration. Optimal Dynamics is a high-growth early-stage company with ~60 employees and $55M in funding.
About the team
We are a team of bright, kind, and solution-oriented people focused on creating value for our customers. We can solve problems individually, but understand that the best solutions are found when the team brainstorms ideas together. We are excited about balancing the need to deploy new solutions quickly and designing solutions that are secured, reliable, maintainable and scalable for the long run.
Overview:
We are seeking a candidate with a strong background in statistics and machine learning with strong proficiency in python and SQL. If you meet these qualifications and are eager to enhance your skills in an exciting startup environment, this position could be the perfect opportunity for you.
If you don’t meet these specific requirements but are still interested in a career at Optimal Dynamics, we encourage you to explore other openings on our careers page at Optimal Dynamics Careers.
Who you are:
- You are a quick learner, eager to embrace new technologies.
- You thrive in an environment rich in context and characterized by minimal guidance.
- You are passionate about developing large-scale optimization software that incorporates automated testing, code and data quality, and engineering best practices.
- You excel at communicating and collaborating effectively with others, confidently promoting your ideas while remaining open to constructive feedback.
- You enjoy working within a focused team, collaborating with colleagues (including product managers, designers, and data scientists) to deliver impactful products.
Responsibilities:
- During the onboarding phase, experienced members of the Statistics And Machine Learning team will help you familiarize yourself with our technologies and enhance your skill set, enabling you to contribute to the development of cutting-edge optimization and AI tools for the logistics industry.
- Actively involved in the software development life cycle, encompassing research, design, experimentation, development, deployment, monitoring, and maintenance, to ensure the stability and quality of the codebase.
- Conduct research and implement best practices to enhance the performance of our statistics and machine learning infrastructure within production environments.
- Enjoy the freedom to innovate and apply novel methodologies and techniques.
- Gain valuable insights and knowledge from leaders in the fields of AI and optimization.
Qualifications:
- MS in Computer Science, Electrical Engineering, Operations Research, or Mathematics/Physics OR BS in one of these fields and two or more years of industry experience
- Significant experience with Python
- Strong proficiency in SQL, with experience writing complex queries and optimizing them for performance
- Background classwork or experience in optimization, probability, and statistics
- Experience with data modeling, data structures, and algorithms
- Some background in machine learning or artificial intelligence.
- Demonstrated ability to troubleshoot complex issues and find resolutions
- Ability to work in a fast-paced, agile environment
- Experience aggregating, reporting and communicating statistical insights to non-technical stakeholders
Nice to have:
- Experience with Cloud Computing platforms: Amazon AWS, Microsoft Azure, Google App Engine or similar
- Some experience with DevOps (i.e. Docker, Github Actions etc.)
- Background in stochastic optimization
- Knowledge about logistics and/or supply chain
- Background in DuckDB (or similar analytics database) and/or DBT
The salary range for this role is $140,000 to $160,000 annually, based on experience and qualifications.
Benefits
- Competitive compensation, including Series B level equity
- Health / Dental / Vision 100% covered for employee and 50% for dependents
- Life Insurance, with optional supplemental insurance
- Flexible Spending Account (FSA)
- Health Spending Account (HSA)
- 401(k) with match
- Unlimited PTO (vacation, personal days, sick days, jury duty, military leave, bereavement)
- 10 Holidays
- Paid Parental Leave for all employees
- Short-term and Long-term Disability Insurances, and AD&D Insurance
- Fitness membership reimbursement
- Commuter benefits
- Flexible work from home policy
- Employee discounts
Optimal Dynamics is proud to be an equal opportunity employer that celebrates diversity and is committed to creating an inclusive workplace with equal opportunity for all applicants and employees. Our goal is to recruit the most talented people from a diverse candidate pool regardless of race, color, ancestry, national origin, religion, disability, sex (including pregnancy), age, gender, gender identity, sexual orientation, marital status, veteran status, or any other characteristic protected by law.
Optimal Dynamics is committed to working with and providing access and reasonable accommodation to applicants. If you require an accommodation, please reach out to [email protected] once you've begun the interview process. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.
Top Skills
What We Do
Optimal Dynamics introduces next-generation artificial intelligence to enable logistics companies to better plan, optimize and automate strategic, tactical and real-time operational decisions.
Based on nearly 40 years of extensive research & development at Princeton University in conjunction with decades of real-world application, CORE.ai reimagines how private fleets, dedicated capacity and for-hire carriers think about planning and operating their truckload assets, drivers and brokerage arms where applicable. Our platform enables users to ask hyper-detailed strategic "what if" questions via a simulation-based environment. We then leverage those outputs to maximize network profitability, increase asset revenue/utilization, reduce unnecessary cost and mitigate risk, all while keeping drivers moving in the most efficient manner.
Optimization is nothing new, but it’s extremely difficult to get right. Through the use of High-Dimensional AI, CORE.ai has been proven to achieve outsized impacts for our customers
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