Your role in a snapshot
In close collaboration with the co-founders, you will lead our machine learning strategy and help the team drive the growth of our data science capabilities while operating in alignment with our approach and philosophy towards simplifying contract review. This is a leadership and hands-on position.
Responsibilities
As the head of machine learning engineering, your key responsibilities will be to:
- Build, test and maintain all the components of our ML pipelines
- Build, validate, and deploy machine learning models for our customers
- Drive the growth of our data sciences capabilities by envisioning and executing strategies to improve and expand our product offerings to serve our customers better
- Communicate results and procedures to diverse internal and external stakeholders
- Follow a methodical, analytical approach and have a natural curiosity to understand and get the best from data
Key requirements
- You have “been-there, done-that”: you have 4-6 years of experience in machine learning at 1-3 software startups, preferably in NLP/text-based machine learning startups.
- You have seen an organization scale from a few employees to tens of employees.
- You have great communication skills in both written and oral formats.
- You have an innovative and creative mindset with the ability to see the big picture of the economics of the business.
- You have an open personality with the ability to inspire, motivate and move others.
- Exceptional attention to detail
- Strong ability in writing Python code for ML projects
- Familiarity with deep learning frameworks (e.g. Tensorflow, PyTorch, Keras etc.)
- Understand key concepts, techniques and considerations in statistics, machine learning and data analytics.
- Experience working with large data sets, text classification projects and common natural language processing tasks
Bonus if you have:
- Experience in model deployment with skillsets in ML Ops, DevOps or software engineering
- Familiarity with any major cloud provider (e.g. AWS, Azure, GCP)
Compensation &Benefits
- Salary: anywhere between S$120k - S$165k annual salary depending on the level of experience.
- ESOP package: competitive / depending on the experience of the profile
- Relocation support, should you wish to move to Singapore (this is not mandatory as it is a fully remote role)
About Pactly
We’re Pactly, a Singapore-based LegalTech startup, building a contract review solution that helps businesses and legal teams draft, review, and negotiate their most frequent contracts.
At our core, we believe that all individuals and businesses spend way too much time and money reading contracts just to figure out whether we should sign them. We need a better, faster and more painless way to understand the contracts we sign, and this has become our obsession.
As a team, we strive to be open, transparent and happy. Being a fully remote company, we’re deliberate about the way we work and communicate. We have weekly team calls, watercooler chats and even optional gaming nights — which are all ways to help us bond and get familiar with one another. Importantly, we value independence in all our team members, and that means that while we are very much results-oriented, you won’t be having pointless daily stand-ups. At the end of the day, we hope to build a work environment that will let us do the best work of our lives and build the best relationships of our careers.
Data source
We Work Remotely