Founding Research Engineer

As a Founding Research Engineer, you’ll have a unique opportunity to have a big impact at Harmony! Your work will be multi-faceted, spanning software engineering, AI safety research, product ideation, project planning, building customer relationships, and more.

What you’ll be doing:

(Don't worry if this sounds a little different from the kind of work you've done in the past. AI safety is a constantly evolving field, and some amount of "learning on the job" is expected and encouraged.)

• Building dangerous capabilities evals in different categories: cybersecurity, biosecurity, persuasion and manipulation, model autonomy, and more
• Designing scaffolding to let autonomous agents use tools, understand their environment, plan, and use long-term memory
• Red teaming, i.e. identifying potential weaknesses, vulnerabilities, or unintended behaviors in AI systems
• Building secure sandbox environments for testing autonomous agents
• Keeping up with the latest AI research
• Interfacing directly with external clients, partners, and research collaborators
• Brainstorming and prototyping new product or service ideas
• Communicating findings in detailed qualitative and quantitative reports for different audiences
• Scaling up infrastructure and making code run faster and more efficiently
• Writing detailed project proposals for both clients and grantors

What you bring to the table:

• A deep commitment to AI safety
• Ability to be flexible and wear multiple hats, context-switching between different roles and responsibilities as needed
• Experience building complex software projects across all stages of development: architecture design, prototyping, deployment to production, and long-term maintenance/debugging
• Deep Python experience across a variety of domains
• Familiarity with basic web technologies: HTTP, HTML, CSS, and JavaScript
• Excellent communication and collaboration skills, with the ability to articulate technical concepts clearly to both technical and non-technical audiences
• Grounding in software engineering best practices, including version control, testing, CI, and documentation

Nice to haves:

• Familiarity with popular Python libraries and frameworks such as NumPy, pandas, Flask, asyncio, scikit-learn, TensorFlow, and PyTorch
• Experience with Docker and related tools (e.g. Docker Compose, Kubernetes)
• Knowledge of common LLM architectures (e.g. GPT, BERT), and experience with fine-tuning and/or prompting LLMs
• Experience with data analysis, visualization, and reporting tools (e.g. pandas, Matplotlib, seaborn, Plotly)
• Exposure to DevOps / cloud infra services such as AWS, GCP, Azure or similar

Why you’ll love it here:

• Make a meaningful impact solving one of the biggest challenges of our lifetimes
• Work from a variety of locations all over the world
• 20 vacation days and unlimited family & caregiver leave
• Regular company off-sites at fun, energising locations
• Inclusive culture that embraces diverse perspectives and backgrounds
• Continuous learning opportunities and clear paths for career growth

Compensation:

• Competitive salary in your preferred locale that reflects your experience and the value you bring to the table. We believe in paying fairly and rewarding top talent.
• Generous stock options that give you a stake in the company's success. Equity ranges from 0.1% to 2% depending on your skills and background.

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