Machine Learning Scientist, AI Voice Interface

Location

San Francisco

Employment Type

Full time

Location Type

On-site

Department

AI Lab

Compensation

• $250K – $400K
• Offers Equity
  
  

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

OverviewApplication

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
  
  

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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 encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We’re designing how humans interact with AI, which makes representation even more important, and we strive to include a range of diverse perspectives on our team.

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

Compensation Range: $250K - $400K

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

Discover our full range of relocation jobs with comprehensive support packages to help you relocate and settle in your new location.

• 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.

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 encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We’re designing how humans interact with AI, which makes representation even more important, and we strive to include a range of diverse perspectives on our team.

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

Compensation Range: $250K - $400K

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.

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 encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We’re designing how humans interact with AI, which makes representation even more important, and we strive to include a range of diverse perspectives on our team.

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

Compensation Range: $250K - $400K