High Alpha is hiring key team members for a new AI security startup. This position is with High Alpha’s latest company, which is currently operating in stealth. You’ll work closely with the internal High Alpha team while reporting directly to Liminal’s CTO. This is an unparalleled, ground-zero opportunity to join the founding team of a well-capitalized AI-focused startup, supported by one of the top-performing venture studios in the US. 

This role is instrumental in the successful, long-term development of Liminal’s product. You will guide our use of data science, machine learning, and related methodologies in pursuit of securing the use of generative AI throughout all regulated industries. You’ll collaborate with our product development team—as a hands-on practitioner, subject matter expert, and guide—and be responsible for Liminal’s data science and machine learning practice for the long term.

What You’ll Do:

• Develop, optimize, and deploy machine learning algorithms and models for the Liminal Engine, focused on highly accurate detection of PII, PHI, sensitive information, and custom strings.
• Clean, preprocess, and transform large datasets to extract relevant features for training machine learning models.
• Implement state-of-the-art machine learning algorithms using popular frameworks and libraries such as Tensorflow/Keras, PyTorch, or scikit-learn. Train and fine-tune models using appropriate training techniques (e.g., supervised, unsupervised, reinforcement learning) and evaluate their performance using suitable metrics.
• Collaborate with software engineers and DevOps teams to deploy machine learning models into production environments. Ensure seamless integration of models with existing systems and optimize their performance in real-world scenarios.
• Conduct exploratory data analysis to gain insights and identify patterns or trends in the data. Communicate findings effectively through visualizations, reports, and presentations to stakeholders.
• Stay updated with the latest advancements in the field of machine learning, deep learning, and artificial intelligence. Evaluate and implement state-of-the-art techniques to improve model performance and solve complex business challenges.
• Collaborate with a multi-functional, agile team, spanning data science, design, product management, engineering, and domain experts, to understand requirements, develop solutions, and deliver high-quality products. Participate in code reviews, knowledge sharing sessions, and provide mentorship to junior team members when necessary.

What You’ll Need:

• Bachelor's degree in Computer Science, Data Science, Machine Learning, or a similar field or related field of study
• 5 years of real-world experience in a data science or machine learning engineering role
• Previous experience as a data scientist or machine learning engineer in a similar role
• Detailed knowledge of machine learning concepts and models, including modern deep learning frameworks
• Technical expertise in model development and deployment, data mining, and building data pipelines
• Strong development experience through hands-on coding in Python
• Hands-on experience with implementing models using scikit-learn, Tensorflow or PyTorch
• Strong understanding of MLOps best practices
• Strong numerical, statistical and analytical skills
• Experience and familiarity with at least one cloud platform; Google Cloud Platform (GCP) is a plus
• Exceptional verbal, written, and presentation skills.
• Ability to work effectively both independently and as part of a team, including customer teams

Our Values:

• We are kind - We assume positive intent, celebrate co-workers' success, avoid toxic behaviors, and call out bad acting when we see it
• We earn trust- we are authentic, humble, and empathetic. Empathy is the cornerstone of building trust. And in a world that is certain to be full of change, trust is a requirement
• We are fearless- We are bold, honest, direct, and candid. We have the courage to challenge assumptions and push boundaries. And we are not afraid when someone challenges us. If we make mistakes, which we will, they are unique and good opportunities to learn
• We value discourse, not dissonance- Constructive discourse is exceptionally healthy and desirable. Expect to be challenged and rise to the occasion! Create space for the best ideas to rise to the top and let data be the ultimate decision-maker, not emotion
• We seek understanding, not consensus- As leaders, we stand firm in our informed convictions until overturned by data. It’s healthy to disagree, but we commit to the outcome when a decision is made
• We are owners- We empower each other to problem solve and take the initiative necessary to meet our goals. We are purposeful and intentional in our thinking and know that we are individually accountable for our own impacts on the company's results
• We are curious- We are passionate about learning and constantly seek out opportunities to grow and develop. Our space changes by the day and we adapt and mature with it 

High Alpha is an equal-opportunity employer, and we value diversity at our company. We don’t discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.