Senior Applied AI Engineer – Data Science & Analytics

An active TS//SCI clearance with polygraph is required for this role

👋🏼 Hey!

Bitwise is a leading provider of mission-focused intelligence solutions that advance national security for the Intelligence Community and Department of Defense. We're a small and growing company, so you can expect to hop in on the ground floor with us and be a consequential member of the team. You'll be more than a contract performer for us — you'll also be asked for ideas to improve our company and improve your career, and you'll contribute to our team culture. We value growth and community above almost all else, so we gather regularly for game nights, happy hours, tech talks, and plenty more. We think you'll like it here!

Remember, Bitwise is not a cult. 🖖🏼

🎯 What We Look For

Bitwise hires talented engineers who are driven by purpose and who value a culture of technical excellence, growth, and overall wellness. We deliver new and innovative intelligence solutions to our customers at the very forefront of our country's national security missions. And we do it every single day. Our work matters, and so will you.

We ask that every new hire be able to:

• Contribute meaningful thought leadership — if not right away, over time
• Interact with our customers and earn their confidence in your abilities
• Be detailed, even if that means taking a little more time to get it right
• Contribute their ideas and ideals to improve all aspects of our company
• Allow us to invest in their education so we both grow together
• Know and live our core values every single day

💡 About this Role

We're looking for a Senior Applied AI Engineer with a strong data science and analytics background to join a fast-moving AI team delivering mission-critical capabilities to analysts and operators who need to make better, faster decisions. This is not a back-office research role — you'll work directly with mission customers, dig into real operational problems, and rapidly prototype AI solutions that create tangible impact.

You'll combine data science, machine learning, and software engineering to transform large, complex datasets into actionable mission insights. The team moves fast, values customer collaboration, and favors practical AI solutions over lengthy development cycles. If you're energized by the idea of seeing your work matter in a high-stakes environment, you'll fit right in here.

In this role, you will:

• Design and develop AI-enabled analytics applications using Python and modern software engineering practices
• Perform exploratory data analysis, feature engineering, statistical analysis, and machine learning on mission datasets
• Develop pattern-of-life, anomaly detection, clustering, and predictive analytics capabilities
• Build retrieval-augmented generation (RAG) and LLM-powered workflows that enhance analytical processes
• Collaborate directly with mission customers to understand their datasets and develop AI-driven analytical solutions
• Integrate structured and unstructured data into scalable AI applications
• Evaluate emerging AI and machine learning techniques for mission applicability
• Mentor junior engineers and contribute to technical direction across the team

📋 Requirements

• 12 years of relevant experience, or 16 years in lieu of a B.S. in a technical discipline
• Experience developing production software using Python
• Experience with data science, machine learning, or statistical analysis
• Hands-on experience with libraries such as Pandas, NumPy, Scikit-learn, or similar
• Experience building AI or machine learning applications
• Experience working with SQL, Elasticsearch, or other large-scale data platforms
• Strong analytical and problem-solving skills
• Ability to communicate technical concepts clearly to both technical and non-technical stakeholders
• Experience collaborating directly with customers to solve analytical problems
• Active TS//SCI clearance with polygraph

🌟 Preferred Skills

• Experience with LLMs, prompt engineering, or retrieval-augmented generation (RAG)
• Experience with geospatial analysis, pattern-of-life analytics, or time-series analysis
• Experience with data visualization tools and dashboard development
• Experience deploying machine learning models into production environments
• Experience supporting classified mission environments

🏝️ Benefits at Bitwise

• Top salaries because we're top performers
• Pick your PTO — Everyone values time and money differently, so we give you the flexibility to choose between 3 and 5 weeks of PTO with a corresponding adjustment to your pay. Your choice, your balance.
• All 11 federal holidays, paid!
• Up to 2 snow days, paid!
• We'll quadruple (4x!) the first 6% you contribute to your 401(k), giving you up to a 24% company match. Contributing less than 6%? Unclaimed matches come right back to you as extra income, giving you a guaranteed 24% that goes to your retirement, to your paycheck, or both. C'mon now! 🚀
• 100% employer-paid medical, dental, vision, life, and disability insurances. That's a lot. Already covered on health insurance? No problem — we'll trade you this benefit for a boost to your salary instead.
• $5,250 annual education assistance for training, certifications, tuition, and even student loan repayments.
• Spot bonuses for obtained certifications, customer recognition, and just about anything else that makes us go "Hot damn!". We hope to say that many times about you. 🔥

💰 Salary Range

$282,000 – $332,000

This range includes our flex income and depends upon your annual work hours.

Salary is determined on an individual basis following the interview process and considering various factors such as years of experience, skills, education, and certifications.

🛎️ What to Expect After Applying

You'll get an email from us right away to acknowledge your application. After that, we'll:

• Send over additional company materials for you to review
• Schedule a video call to talk about you, our company, and your place in it
• Craft a delightful offer package for you and record a video walkthrough
• Work closely with you through onboarding. We'll keep it joyful and easy.

ℹ️ Disclaimers

Bitwise is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected status. All employment decisions are based on qualifications, merit, and business needs.

Compensation for this position, including all compensation options, will be determined on an individual basis following the interview process.

If you require accommodations at any stage of the application or interview process, please reach out to us.

Last updated: 8/3/26