At a Glance
- Tasks: Drive benchmarking of speech AI and build evaluative frameworks with top AI teams.
- Company: Join Artificial Analysis, Inc., a leader in innovative AI technology.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with opportunities to collaborate on cutting-edge projects.
- Why this job: Make a real impact in the exciting field of speech AI and Frontier AI.
- Qualifications: 3+ years in speech AI, strong Python skills, and a passion for innovation.
The predicted salary is between 60000 - 70000 £ per year.
Artificial Analysis, Inc. is hiring a Member of Technical Staff (Speech) to drive the benchmarking of speech AI—from text-to-speech to speech-to-speech models—and to build evaluative frameworks with leading AI teams.
You will contribute to agentic voice benchmarks and real-time assessments across major vendors in a hands-on role.
You should bring 3+ years of experience with speech AI, strong Python/data skills, and a deep interest in Frontier AI.
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Staff Speech AI Engineer — Benchmarking & Equity (SF) in Tipton employer: Artificial Analysis, Inc.
Artificial Analysis is an exceptional employer, offering a unique opportunity to work at the forefront of AI technology in the vibrant city of San Francisco. With a strong focus on employee growth and development, team members are encouraged to become world experts in AI while collaborating with leading labs and enterprises. The company fosters a dynamic work culture that values innovation and reliability, providing competitive compensation and equity as part of its commitment to attracting top talent.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Speech AI Engineer — Benchmarking & Equity (SF) in Tipton
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We think you need these skills to ace Staff Speech AI Engineer — Benchmarking & Equity (SF) in Tipton
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Artificial Analysis, Inc..
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Artificial Analysis, Inc. and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Artificial Analysis, Inc.
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Artificial Analysis, Inc. uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
