ML Scientist

Visa Hunt; San Francisco (CA); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Equity

Health insurance

401(k) matching

Flexible leave

Relocation assistance

Equipment provided

Team events

Parental leave

Job summary

Wispr is building a scalable voice interface that aims to reach billions of users. As a ML scientist, you will prototype features, design infrastructure for sub-500ms LLM inference, and scale the personalization of speech models and LLMs across a global user base.

You will focus on ML personalization, training speech models, and utilizing fine-tuning and RL techniques to enhance LLM performance. A fast-moving, collaborative team culture and hybrid work options are offered.

Qualifications

• PhD in machine learning or related field (neuroscience, EE, etc)
• Strong publication track record at top conferences (ICML, NeurIPS, ICLR, ICASSP)
• Fluency in Python and LLM development
• Attention to detail and eagerness to learn
• Aptitude and clarity of thought
• Creativity in R&D, excellence in engineering, and code velocity

Responsibilities

• Prototype and design new features of our voice interface.
• Build infrastructure for <500ms LLM inference for millions of requests.
• Scale personalization of speech models and LLMs.
• Lead ML personalization, training speech models, and applying fine-tuning and RL to improve LLMs.

Skills

PhD in ML

Publication track record

Python & LLM development

Attention to detail

Aptitude & clarity

Creative R&D & coding velocity

Education

PhD in machine learning or related field

Tools

Python

Job description

About Wispr

We're building the first voice interface a billion people use every day.

Our first product, Flow, lets you talk instead of type anywhere on your computer or phone, and turns messy speech into polished text that is ready to send. It's scaled from $2M $50M in ARR in under 12 months with millions of users and thousands of enterprise customers. How we think

The team is still small enough that every person shapes what gets built.

About the Role

As a ML scientist at Wispr, you’ll play a crucial role in building the first capable, habit forming voice interface that scales to a billion users. Members of our technical staff are responsible for prototyping and designing new features of our voice interface, building infrastructure to handle <500ms LLM inference for millions of requests from everywhere around the world, and scaling the personalization of our speech models and LLMs. You'll be primarily responsible for ML personalization, training speech models, and using fine-tuning and RL techniques to improve LLMs.

What are we looking for?

• PhD in machine learning or related field (neuroscience, EE, etc)

• Strong publication track record at top conferences (ICML, NeurIPS, ICLR, ICASSP)

• Fluency in Python and LLM development

• Attention to detail and eagerness to learn

• Aptitude and clarity of thought

• Creativity in R&D, excellence in engineering, and code velocity

Logistics

Location. About 60% of the team is in San Francisco and the rest are remote, mostly US-based.

• If you're in SF: you'll be in the office most days. We think the best work happens in person. Most of the team is here five days a week, and a few do three or four days depending on family or long commutes.

• If you're remote: we're open to remote for some roles. We fly remote teammates to SF for three to four days a month.

Visa sponsorship. We sponsor visas: H1B, O1, EB1, L1, STEM + OPT, and more. We can't successfully sponsor for every role and every candidate, but if we make you an offer we'll make every reasonable effort, and we retain an immigration law firm to help.

What we offer

We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect:

• Equity on employee-friendly terms, including extended exercise windows and a combination of ISOs and RSUs. Ask us for more details!

• Health, dental and vision. We cover 100% of the premium on the Anthem Blue Cross Gold PPO, and 75% of premiums for dependents. (US only)

• 401(k) with up to a 4% match. (US only)

• Flexible time off and company holidays.

• All meals in the office, plus commuter benefits and relocation reimbursement if you’re moving to San Francisco.

• A high-spec laptop, monitor, and a whisper-friendly microphone.

• Regular team events and off-sites.

• 16 weeks of paid parental leave (12 weeks for non-birthing parent). The early days with a new baby matter more than anything we're doing here, and we want you to be present for them.

We are committed to ensuring a fair and accessible interview process. If you need any accommodations or adjustments, please let us know.