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Ml Scientist Jobs (NOW HIRING)

Wispr Flow

ML Scientist

San Francisco, CA · On-site

$250K - $400K/yr

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 ...

Verana Health

ML Scientist

Manhattan, NY · On-site

$200K - $250K/yr

J ob Description We're hiring an exceptional ML scientist. In this role, you will be responsible for pioneering innovative machine learning techniques to advance our fundamental clinical machine ...

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insitro

(Senior) ML Scientist

South San Francisco, CA · On-site

$183K - $238K/yr

Ph.D. in computer science, machine learning, computational biology, systems biology, or a related discipline. * Extensive hands on experience developing ML methods for biological data modalities

Cleerly

Sr. ML Scientist

Boston, MA · On-site

In this role, you will collaborate with ML scientists, data engineers, biostatisticians, regulatory experts, and senior leadership to understand clinical requirements, develop innovative solutions ...

Lululemon Athletica

AI/ML Scientist

Seattle, WA · On-site

$147 - $193/hr

Core responsibilities As an Applied AI/ML Scientist, you design, develop, test, and optimize AI/ML solutions that address defined business problems, with an emphasis on applied modeling ...

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How much do ml scientist jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for ml scientist in the United States is $57.49, according to ZipRecruiter salary data. Most workers in this role earn between $38.70 and $73.80 per hour, depending on experience, location, and employer.

What is an ML scientist?

ML Scientists, or Machine Learning Scientists, are professionals who research, design, and develop algorithms that enable computers to learn from and make predictions or decisions based on data. They often work at the intersection of computer science, statistics, and domain expertise to solve complex problems using machine learning techniques. Their responsibilities may include building and optimizing models, conducting experiments, analyzing results, and collaborating with engineers and data scientists to deploy solutions. ML Scientists are employed in various industries, such as technology, healthcare, finance, and more, where they help drive innovation by leveraging data.

What are the key skills and qualifications needed to thrive as an ML scientist?

To thrive as an ML Scientist, you need strong knowledge of machine learning algorithms, statistics, and programming languages like Python or R, typically supported by an advanced degree in computer science, mathematics, or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and tools for data manipulation and visualization is crucial, along with experience using cloud platforms like AWS or Azure. Excellent problem-solving, critical thinking, and communication skills help translate complex data insights into actionable business solutions. These skills ensure the effective development, deployment, and interpretation of machine learning models that drive innovation and informed decision-making.

What are some common challenges ML scientists face when deploying models to production environments?

ML Scientists often encounter challenges when transitioning models from research to production, such as ensuring model scalability, maintaining data consistency, and addressing performance degradation over time. Collaborating closely with data engineers and software developers is essential to integrate models seamlessly into existing systems. Additionally, monitoring deployed models for concept drift and retraining needs is a critical responsibility to maintain accuracy and reliability in real-world applications.

What is the difference between Ml Scientist vs Data Analyst?

AspectML ScientistData Analyst
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related fields; strong programming skillsBachelor's degree in Statistics, Mathematics, or related fields; proficiency in data visualization tools
Work EnvironmentResearch-focused, developing models, experimenting with algorithmsData cleaning, reporting, and interpreting data for business insights
Industry UsageTech companies, research institutions, AI developmentBusiness, marketing, finance, healthcare sectors

ML Scientists focus on developing and refining machine learning models using advanced algorithms, often working in research or AI development environments. Data Analysts primarily interpret data to generate reports and insights for business decision-making. While both roles require strong analytical skills, ML Scientists typically have more technical credentials and work on complex modeling tasks, whereas Data Analysts focus on data interpretation and visualization for practical applications.

Is machine learning a high paying job?

Machine learning scientists typically earn high salaries due to the specialized skills required, such as programming, statistics, and data analysis. Salaries vary by experience, location, and industry, but overall, it is considered a well-compensated profession in the tech field.

What does a machine learning scientist do?

A machine learning scientist develops algorithms and models that enable computers to learn from data and make predictions or decisions. They analyze large datasets, select appropriate techniques, and often use tools like Python, TensorFlow, or PyTorch to build and optimize models for applications such as image recognition, natural language processing, and predictive analytics.
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Ml Scientist jobs near you
Infographic showing various Ml Scientist job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 95% Full Time, 1% Part Time, and 3% Contract. Highlights an 78% Physical, 6% Hybrid, and 16% Remote job distribution, with an average salary of $119,587 per year, or $57.5 per hour.

ML Scientist

Wispr Flow

San Francisco, CA • On-site

$250K - $400K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 21 days ago

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 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.

Apply