... paced startup environment with high ownership and ambiguity. • Ability to clearly explain ... non-machine-learning stakeholders. Preferred : • Experience working with healthcare or ...
... paced startup environment with high ownership and ambiguity. • Ability to clearly explain ... non-machine-learning stakeholders. Preferred : • Experience working with healthcare or ...
Machine Learning Engineer
San Mateo, CA · On-site +1
Company Description PatternAI is an automated machine learning platform that reveals critical ... Additional Information About PatternAI PatternAI is an early stage startup that is growing rapidly ...
Machine Learning Engineer
San Mateo, CA · On-site +1
Company Description PatternAI is an automated machine learning platform that reveals critical ... Additional Information About PatternAI PatternAI is an early stage startup that is growing rapidly ...
Company Description PatternAI is an automated machine learning platform that reveals critical ... Additional Information About PatternAI PatternAI is an early stage startup that is growing rapidly ...
Company Description PatternAI is an automated machine learning platform that reveals critical ... Additional Information About PatternAI PatternAI is an early stage startup that is growing rapidly ...
Machine Learning Engineer Location: Fort Meade, MD Required Clearance : TS/SCI w/ Full-Scope Poly ... Previous experience in a fast-paced, startup environment.
Machine Learning Engineer Location: Fort Meade, MD Required Clearance : TS/SCI w/ Full-Scope Poly ... Previous experience in a fast-paced, startup environment.
Machine Learning Engineer
Denver, CO · Remote
Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that ... Develop and productionize machine learning (ML) solutions in the fields of Document understanding ...
Machine Learning Engineer
Denver, CO · Remote
Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that ... Develop and productionize machine learning (ML) solutions in the fields of Document understanding ...
Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that ... Develop and productionize machine learning (ML) solutions in the fields of Document understanding ...
Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that ... Develop and productionize machine learning (ML) solutions in the fields of Document understanding ...
Research Intern, Machine Learning
New York, NY · On-site
$3.50K - $11.50K/mo
Research Intern (PhD), Machine Learning Join our team and help build the world's first biological ... You thrive in a fast-paced, startup environment and are excited about making a significant impact ...
Quick apply
Research Intern, Machine Learning
New York, NY · On-site
$3.50K - $11.50K/mo
Research Intern (PhD), Machine Learning Join our team and help build the world's first biological ... You thrive in a fast-paced, startup environment and are excited about making a significant impact ...
Research Intern (PhD), Machine Learning Join our team and help build the world's first biological ... You thrive in a fast-paced, startup environment and are excited about making a significant impact ...
Research Intern (PhD), Machine Learning Join our team and help build the world's first biological ... You thrive in a fast-paced, startup environment and are excited about making a significant impact ...
Research Intern, Machine Learning
San Francisco, CA · On-site
$3.50K - $11.50K/mo
Research Intern (PhD), Machine Learning Join our team and help build the world's first biological ... You thrive in a fast-paced, startup environment and are excited about making a significant impact ...
Quick apply
Research Intern, Machine Learning
San Francisco, CA · On-site
$3.50K - $11.50K/mo
Research Intern (PhD), Machine Learning Join our team and help build the world's first biological ... You thrive in a fast-paced, startup environment and are excited about making a significant impact ...
... in a dynamic startup environment • Bring your own unique expertise to the team and learn from ... ideally with machine learning playing a critical role • Strong foundational knowledge of ...
... in a dynamic startup environment • Bring your own unique expertise to the team and learn from ... ideally with machine learning playing a critical role • Strong foundational knowledge of ...
Machine Learning Engineer
Los Angeles, CA · On-site
The Senior Machine Learning Engineer will be responsible for designing, building, and scaling ... startup environment Company : Hadrian builds AI-powered automated factories that manufacture ...
Machine Learning Engineer
Los Angeles, CA · On-site
The Senior Machine Learning Engineer will be responsible for designing, building, and scaling ... startup environment Company : Hadrian builds AI-powered automated factories that manufacture ...
They are seeking Machine Learning Engineers to build their platform for training, evaluating, and ... Preferred : • Open-source ML infra contributions. • Startup or frontier lab experience in fast ...
They are seeking Machine Learning Engineers to build their platform for training, evaluating, and ... Preferred : • Open-source ML infra contributions. • Startup or frontier lab experience in fast ...
Be Seen First
Machine Learning Engineer
OR · Remote
$100K - $200K/yr
Position Overview As a Machine Learning Engineer, you will be instrumental in crafting and refining ... startup, we want to hear from you! Join us in transforming the way lawyers work with AI-driven ...
Quick apply
Be Seen First
Machine Learning Engineer
OR · Remote
$100K - $200K/yr
Position Overview As a Machine Learning Engineer, you will be instrumental in crafting and refining ... startup, we want to hear from you! Join us in transforming the way lawyers work with AI-driven ...
Machine Learning
Cambridge, MA · On-site
Company Description Neurable is a funded brain-computer interface (BCI) startup spun out of the ... We are currently looking for a Machine Learning Scientist/Researcher to join our team. We would ...
Machine Learning
Cambridge, MA · On-site
Company Description Neurable is a funded brain-computer interface (BCI) startup spun out of the ... We are currently looking for a Machine Learning Scientist/Researcher to join our team. We would ...
Machine Learning Engineer
Chicago, IL · On-site
$160K - $220K/yr
Coinflow is seeking a Machine Learning Engineer to help build the intelligence layer that powers ... Experience as an early data/ML hire at a startup * Experience working with high-volume behavioral ...
Machine Learning Engineer
Chicago, IL · On-site
$160K - $220K/yr
Coinflow is seeking a Machine Learning Engineer to help build the intelligence layer that powers ... Experience as an early data/ML hire at a startup * Experience working with high-volume behavioral ...
Machine Learning Engineer
Manhattan, NY · On-site
They are seeking Machine Learning Engineers to build a platform for training, evaluating, and ... Preferred : • Open-source ML infra contributions. • Startup or frontier lab experience in fast ...
Machine Learning Engineer
Manhattan, NY · On-site
They are seeking Machine Learning Engineers to build a platform for training, evaluating, and ... Preferred : • Open-source ML infra contributions. • Startup or frontier lab experience in fast ...
Experience working in a startup or fast-paced environment. * Hands-on experience fine-tuning machine learning models, including supervised fine-tuning (SFT) and reinforcement learning from human ...
Experience working in a startup or fast-paced environment. * Hands-on experience fine-tuning machine learning models, including supervised fine-tuning (SFT) and reinforcement learning from human ...
Company Description Neurable is a funded brain-computer interface (BCI) startup spun out of the ... We are currently looking for a Machine Learning Scientist/Researcher to join our team. We would ...
Company Description Neurable is a funded brain-computer interface (BCI) startup spun out of the ... We are currently looking for a Machine Learning Scientist/Researcher to join our team. We would ...
Head of Machine Learning
Mountain View, CA · Hybrid
$477K - $583K/yr
... fast-paced startup environments. This leader should have a strong coding foundation, deep ... Define and own the machine learning roadmap in alignment with business goals. * Lead the ML ...
Head of Machine Learning
Mountain View, CA · Hybrid
$477K - $583K/yr
... fast-paced startup environments. This leader should have a strong coding foundation, deep ... Define and own the machine learning roadmap in alignment with business goals. * Lead the ML ...
Role - Machine Learning Expert (This role is open to US Citizens, Green Card holders, GC-EAD only ... Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects ...
Role - Machine Learning Expert (This role is open to US Citizens, Green Card holders, GC-EAD only ... Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects ...
Machine Learning Startup information
See salary details
$25.5K - $31.2K
5% of jobs
$33.1K is the 25th percentile. Wages below this are outliers.
$31.2K - $36.9K
59% of jobs
$36.9K - $42.5K
9% of jobs
$43K is the 75th percentile. Wages above this are outliers.
$42.5K - $48.2K
17% of jobs
$48.2K - $53.9K
4% of jobs
$53.9K - $59.6K
2% of jobs
$59.6K - $65.3K
3% of jobs
$65.3K - $71K
0% of jobs
$71K - $76.6K
0% of jobs
$76.6K - $82.3K
0% of jobs
$82.3K - $88K
0% of jobs
$25.5K
$42.6K
$88K
How much do machine learning startup jobs pay per year?
As of May 31, 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 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.
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.
More about Machine Learning Startup jobs
- What are the key skills and qualifications needed to thrive in the Machine Learning Startup position and why are they important?
- What are the typical responsibilities and daily challenges when working at a Machine Learning Startup?
- What is a Machine Learning Startup job?
- The 10 Top Types Of 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:
Full-time
Posted 3 days ago
Job description
Job Summary:
Pelica Health is an innovative company focused on value-based care, integrating various healthcare data into a cohesive system supported by AI. The Machine Learning Engineer will build and manage production machine learning systems, design data pipelines, and collaborate with engineers and product leaders to enhance decision-making processes in healthcare.
Responsibilities:
• Build and own production machine learning systems end-to-end, from data modeling and feature engineering to training, evaluation, deployment, and monitoring.
• Design and implement data pipelines that turn raw, messy real-world healthcare data into reliable features for machine learning models.
• Train and evaluate models for ranking, prioritization, and prediction problems, for example identifying high-risk or high-priority cases.
• Deploy models into production as reliable services or batch jobs, with clear versioning, monitoring, and rollback strategies.
• Work closely with backend engineers and product leaders to integrate machine learning into real workflows and decision-making systems.
• Make architectural decisions around model choice, evaluation metrics, retraining cadence, and system guardrails, balancing accuracy, explainability, reliability, and operational constraints.
• Collaborate directly with founders and engineers to translate product and operational needs into scalable, maintainable machine learning solutions.
Qualifications:
Required:
• At least 3 years of experience building and deploying machine learning systems in production.
• Strong foundation in machine learning for structured (tabular) data, including feature engineering, regression or classification models, and ranking or prioritization problems.
• Experience with the full machine learning lifecycle: data preparation, train/test splitting, evaluation, deployment, retraining, and monitoring.
• Solid backend engineering skills: writing production-quality code, building services or batch jobs, and working with databases and data pipelines.
• Good system design instincts. You understand trade-offs between model complexity, reliability, latency, scalability, and maintainability.
• Comfort working in a fast-paced startup environment with high ownership and ambiguity.
• Ability to clearly explain modeling choices, assumptions, and limitations to non-machine-learning stakeholders.
Preferred:
• Experience working with healthcare or operational decision-support systems.
• Experience building or integrating LLM systems in production, such as retrieval-augmented generation, fine-tuning, or structured prompting workflows.
• Prior startup experience or founder mindset. We value ownership, pragmatism, and bias toward shipping.
• Experience with model monitoring, data drift detection, or ML infrastructure tooling.
Company:
Pelica Health is transforming healthcare operations with AI agents. Learn more at https://www.pelica.com/ Founded in 2025, the company is headquartered in San Francisco, US, , with a team of 11-50 employees. The company is currently Early Stage.
Pelica Health is an innovative company focused on value-based care, integrating various healthcare data into a cohesive system supported by AI. The Machine Learning Engineer will build and manage production machine learning systems, design data pipelines, and collaborate with engineers and product leaders to enhance decision-making processes in healthcare.
Responsibilities:
• Build and own production machine learning systems end-to-end, from data modeling and feature engineering to training, evaluation, deployment, and monitoring.
• Design and implement data pipelines that turn raw, messy real-world healthcare data into reliable features for machine learning models.
• Train and evaluate models for ranking, prioritization, and prediction problems, for example identifying high-risk or high-priority cases.
• Deploy models into production as reliable services or batch jobs, with clear versioning, monitoring, and rollback strategies.
• Work closely with backend engineers and product leaders to integrate machine learning into real workflows and decision-making systems.
• Make architectural decisions around model choice, evaluation metrics, retraining cadence, and system guardrails, balancing accuracy, explainability, reliability, and operational constraints.
• Collaborate directly with founders and engineers to translate product and operational needs into scalable, maintainable machine learning solutions.
Qualifications:
Required:
• At least 3 years of experience building and deploying machine learning systems in production.
• Strong foundation in machine learning for structured (tabular) data, including feature engineering, regression or classification models, and ranking or prioritization problems.
• Experience with the full machine learning lifecycle: data preparation, train/test splitting, evaluation, deployment, retraining, and monitoring.
• Solid backend engineering skills: writing production-quality code, building services or batch jobs, and working with databases and data pipelines.
• Good system design instincts. You understand trade-offs between model complexity, reliability, latency, scalability, and maintainability.
• Comfort working in a fast-paced startup environment with high ownership and ambiguity.
• Ability to clearly explain modeling choices, assumptions, and limitations to non-machine-learning stakeholders.
Preferred:
• Experience working with healthcare or operational decision-support systems.
• Experience building or integrating LLM systems in production, such as retrieval-augmented generation, fine-tuning, or structured prompting workflows.
• Prior startup experience or founder mindset. We value ownership, pragmatism, and bias toward shipping.
• Experience with model monitoring, data drift detection, or ML infrastructure tooling.
Company:
Pelica Health is transforming healthcare operations with AI agents. Learn more at https://www.pelica.com/ Founded in 2025, the company is headquartered in San Francisco, US, , with a team of 11-50 employees. The company is currently Early Stage.