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Machine Learning Startup Jobs (NOW HIRING)

BetterHelp

Machine Learning Engineer

As a Machine Learning at BetterHelp, you'll join a diverse team of licensed clinicians, engineers ... We have the startup DNA but we're fully backed and funded, all the way to success. * You will NOT ...

Hadrian Automation

Machine Learning Engineer

Torrance, CA · On-site

$160K - $250K/yr

As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling ... Prior experience working in a startup environment Compensation For this role, the target salary ...

Spotter

Machine Learning Scientist

Culver City, CA · Remote

You thrive in a fast-paced startup environment and are motivated by building models that don't just ... What You'll Do You'll develop machine learning models that move beyond experimentation and into ...

exacare ai

Machine Learning Engineer

New York, NY · On-site

About the Role We are looking for a Machine Learning Engineer, MLOps to help operationalize and ... Great startup culture, including company off-sites * High-achieving team, including ex-Amazon ...

Spotter

Machine Learning Scientist

Culver City, CA · On-site

... Machine Learning Scientist with deep expertise in building and deploying production machine ... You thrive in a fast-paced startup environment and are motivated by building models that don't just ...

Ema

Software Engineer, Machine Learning

Bodega Bay, CA · On-site

$135K - $200K/yr

Most importantly, you are excited to be part of a mission-oriented high-growth startup that can create a lasting impact. You Will * Conceptualize, develop, and deploy machine learning models that ...

Swish Analytics

Machine Learning Engineer

San Francisco, CA · On-site +1

$160K/yr

Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of ... The Data Science team is hiring an experienced Machine Learning Engineer with a background building ...

Ema

Software Engineer, Machine Learning

San Francisco, CA · On-site

$135K - $200K/yr

Most importantly, you are excited to be part of a mission-oriented high-growth startup that can create a lasting impact. You Will * Conceptualize, develop, and deploy machine learning models that ...

Keebo

Senior Machine Learning Engineer

$125K - $165K/yr

Keebo is a venture-backed startup that offers a turnkey cloud-based Data Learning platform for ... Built on state-of-the-art in machine learning and artificial intelligence, and over 15 years of ...

Ayo Semiconductor

Machine Learning Architect

Boston, MA · On-site

About Ayo We are a venture-backed early-stage startup developing processors specialized for machine learning. The processor will provide orders or magnitude improvement in speed and power efficiency ...

Extend

Manager, Machine Learning

$180K - $210K/yr

Required: * 6+ years of work experience building and deploying machine learning systems into ... Stock in an early-stage startup growing quickly. * Generous, flexible paid time off policy ...

Blissway Inc.

Machine Learning Engineer

Denver, CO · On-site

Blissway Inc. is a startup focused on simplifying toll collection and enhancing highway safety through innovative technology. They are seeking a Machine Learning Engineer who will own the entire ...

Adobe

Machine Learning Engineer

San Jose, CA

Good understanding of machine learning, deep learning, or data analytics concepts. * Excellent ... We match the pace, innovation and excitement of a startup, backed by the resources and ...

SmarterDx

Staff Software Engineer, Machine Learning

$260K/yr

Nice To Haves * You're a former startup founder, or have been the first engineering hire at a ... Experience with end-to-end machine learning project lifecycle, from data collection and model ...

Adobe, Inc.

Machine Learning Engineer

San Jose, CA · On-site

Good understanding of machine learning, deep learning, or data analytics concepts. * Excellent ... We match the pace, innovation and excitement of a startup, backed by the resources and ...

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Machine Learning Startup information

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$25.5K

$42.6K

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How much do machine learning startup jobs pay per year?

As of Jul 11, 2026, the average yearly pay for machine learning startup in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Machine Learning Startup position, and why are they important?

To succeed in a Machine Learning Startup, a strong background in computer science, statistics, and applied mathematics is essential, along with practical experience building and deploying machine learning models. Proficiency in tools such as Python, TensorFlow, PyTorch, and cloud-based platforms, as well as familiarity with data versioning and model deployment systems, is highly valuable. Adaptability, entrepreneurial thinking, and strong communication skills are crucial for thriving in the dynamic startup environment. These competencies enable effective product development, rapid iteration, and impactful collaboration within a fast-paced, resource-constrained setting.

What are the typical responsibilities and daily challenges when working at a Machine Learning Startup?

At a Machine Learning Startup, your daily tasks often include collecting and preprocessing data, training and validating models, collaborating with engineers to deploy solutions, and iterating rapidly based on feedback and performance metrics. You may also contribute to brainstorming sessions, product roadmapping, and customer discovery processes. Common challenges include working with limited labeled data, balancing research with production needs, and managing shifting priorities as the business pivots or scales. This dynamic environment provides a valuable opportunity to make a tangible impact, develop a broad skill set, and gain exposure to multiple aspects of both technology and entrepreneurship.

What is a Machine Learning Startup job?

A Machine Learning Startup job typically involves working in a fast-paced, early-stage company focused on developing and applying machine learning technologies. Employees may take on diverse responsibilities, including data collection, model development, algorithm optimization, and deployment. Since startups require adaptability, roles often blend research, engineering, and business-oriented problem-solving. These positions offer opportunities to work on cutting-edge innovations but may also demand long hours and rapid prototyping.

More about Machine Learning Startup jobs
What cities are hiring for Machine Learning Startup jobs? Cities with the most Machine Learning Startup job openings:
What are the most commonly searched types of Machine Learning Startup jobs? The most popular types of Machine Learning Startup jobs are:
What states have the most Machine Learning Startup jobs? States with the most job openings for Machine Learning Startup jobs include:
What job categories do people searching Machine Learning Startup jobs look for? The top searched job categories for Machine Learning Startup jobs are:
Machine Learning Startup jobs near you
Infographic showing various Machine Learning Startup job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Machine Learning Engineer

Machine Learning Engineer

BetterHelp

Remote

Full-time

Medical, Dental, Vision, Retirement

Posted 16 days ago

BetterHelp rating

7.2

Company rating: 7.2 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

Job description

Who are we and why should you join us?
BetterHelp is on a mission to remove the traditional barriers to therapy and make mental health care more accessible to everyone. Founded in 2013, we are now the world's largest online therapy service, providing affordable and convenient therapy across the globe. Our network of over 30,000 licensed therapists has helped millions of people take ownership of their mental health and change their lives forever. And we're not stopping there - as the unmet need for mental health services continues to grow, BetterHelp is committed to being part of the solution.
As a Machine Learning at BetterHelp, you'll join a diverse team of licensed clinicians, engineers, product pros, creatives, marketers, and business leaders who share a passion for expanding access to therapy. And as a mental health company, we take employee mental health just as seriously as we do our mission. We deeply invest in our team's well-being and professional development, because we know that business and individual growth go hand-in-hand. At BetterHelp, you'll carve your own path, make an immediate impact, and be challenged every day - with a supportive community behind you the whole way.
What are we looking for?
BetterHelp is looking for a Machine Learning Engineer to help build and scale the next generation of AI-powered experiences across our platform. This role will focus on Natural Language Processing (NLP), Large Language Models (LLMs), evaluation systems, and AI safety infrastructure.
We're looking for someone with a strong foundation in machine learning and NLP who is excited about building reliable, scalable AI systems in production. The ideal candidate has experience working with language models, evaluating model quality, implementing guardrails, and optimizing inference systems for real-world applications.
What will you do?
  • Develop and improve NLP systems and language model-powered experiences.
  • Fine-tune and optimize open-source and proprietary language models for domain-specific use cases.
  • Evaluate model performance and identify opportunities for quality improvements.
  • Design and implement evaluation frameworks to measure model quality, reliability, and business impact.
  • Build automated testing pipelines to identify regressions, quality drops, hallucinations, and failure modes.
  • Develop metrics and monitoring systems to continuously assess model performance in production.
  • Design and implement guardrails that improve model reliability, safety, and consistency.
  • Build systems to detect unsafe outputs, prompt injection attempts, abuse patterns, and fraud-related behaviors.
  • Partner with product and engineering teams to ensure AI systems behave predictably and responsibly.
  • Optimize inference performance through quantization, distillation, batching, and model serving improvements.
  • Deploy and maintain production-grade ML systems running on GPU infrastructure.
  • Improve latency, scalability, and operational efficiency of LLM-powered applications.
  • Partner closely with Product, Engineering, and Data Science teams to identify opportunities where AI can improve user experiences.
  • Translate business requirements into scalable ML solutions.
  • Communicate technical concepts clearly to both technical and non-technical stakeholders.
What will you NOT do?
  • You will NOT worry about "runway", "cash left", or "how much time we have until the next round". We have the startup DNA but we're fully backed and funded, all the way to success.
  • You will NOT be confined to your "job". You will get involved in product, marketing, business strategy, and almost everything we do.
  • You will NOT be bogged down by office politics, ego, or bad attitude. Only positive, pleasure-to-work-with people are allowed here!
  • You will NOT get yourself burned out. We work hard but we believe in maintaining a sustainable work/life balance. Really.
Can I work remotely?
Yes. We operate on PST and candidates in any time zone are welcome to apply. We ask employees to travel to our San Jose, CA office up to three times per year plus one company-wide offsite to collaborate in person and strengthen working relationships. Travel expenses are covered and reasonable accommodations are made for those under unique circumstances who cannot travel.
Requirements
  • Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, Statistics, Mathematics, Computational Linguistics, or a related quantitative field. Master's or PhD preferred.
  • 3+ years of industry experience building machine learning systems
  • Strong Python programming skills
  • Experience working with NLP and Large Language Models
  • Experience with PyTorch (preferred) or TensorFlow
  • Strong understanding of deep learning fundamentals, transformers, embeddings, and modern NLP architectures
  • Experience evaluating machine learning models and designing quality measurement frameworks
  • Experience fine-tuning language models for production use cases
  • Familiarity with model serving, inference optimization, and deployment workflows
  • Experience working with SQL and large-scale datasets
  • Excellent communication and collaboration skills
Benefits
  • Remote work with regular in-person bonding experiences sponsored by the company
  • Competitive compensation
  • Holistic perks program (including free therapy, employee wellness, and more)
  • Excellent health, dental, and vision coverage
  • 401k benefits with employer matching contribution
  • The chance to build something that changes lives - and that people love
  • Any piece of hardware or software that will make you happy and productive
  • An awesome community of co-workers

The base salary range for this position is $150,000 - $180,000. In addition to the base salary, this position is eligible for a performance bonus and the extensive benefits listed here (subject to eligibility requirements): Teladoc Health Benefits 2026. Total compensation is based on several factors - including, but not limited to, type of position, location, education level, work experience, and certifications. This information is applicable to all full-time positions.
At BetterHelp we thrive on difference and individuality, and as part of the Teladoc Health family, we are proud to be an Equal Opportunity Employer. We never have and never will discriminate against any job candidate or employee due to age, race, ethnicity, religion, sex, color, national origin, gender, gender identity, sexual orientation, medical condition, marital status, parental status, disability, or Veteran status.
Notice to Candidates:
BetterHelp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team - please know that we have no affiliation or connection to these situations. We only post open roles on our career page (betterhelp.com/careers) or reputable job boards like our official LinkedIn or Indeed pages, and all official BetterHelp recruitment emails will come from the domain @betterhelp.com. Our commitment is to ensure a safe and transparent hiring experience for all candidates. We will never ask you for money, gift cards, or any form of payment during our hiring process, and we will never send money or checks to candidates. If you experience this, it is a scam.

What BetterHelp employees say

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Benefits

Hours and flexibility

Workplace

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BetterHelp logo

About BetterHelp

Sourced by ZipRecruiter

* We help people change their lives. BetterHelp is the world's largest therapy service. We set out on a mission to provide everyone with easy, affordable, and private access to professional counseling: anytime, anywhere. To date, our network of over 20,000 licensed, accredited, and board-certified therapists have assisted more than 1,000,000 people. Every month, our secure website and mobile app facilitate over 5,000,000 messages, chats, voice calls, and video sessions that help people face life's challenges. * We're taking mental healthcare to the next level. We combine clinical care, cutting-edge technology and data-driven product development to constantly learn, iterate, and improve. We are relentless in our pursuit of better, always questioning the status quo and discovering new ways to get things done and serve our members. * We are a community that grows together - both professionally and personally. Even with our exponential growth, our team is kept agile and nimble, allowing you to have a huge impact and carve your own path from day one. We invest in our team's well-being and professional development because we know that business and individual growth go hand-in-hand. You will move fast, remain flexible, and be challenged every day. Join us!

Industry

Health care and social assistance

Company size

1,001 - 5,000 Employees

Headquarters location

San Francisco, CA, US

Year founded

2013

Social media

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