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Contract Machine Learning Startup Jobs (NOW HIRING)

Atrium

Contract Machine Learning Engineer

Manhattan, NY · On-site

$75 - $110/hr

This is an opportunity for a Contract Machine Learning Engineer to work alongside experienced Engineers, Data Scientists, and Platform teams in a fast-paced and collaborative environment. Salary ...

Pelica Health

Machine Learning Engineer

... paced startup environment with high ownership and ambiguity. • Ability to clearly explain ... non-machine-learning stakeholders. Preferred : • Experience working with healthcare or ...

Pattern AI

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 ...

Pattern AI

Machine Learning Engineer

San Mateo, CA · On-site

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 ...

Judi Health

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 ...

Judi Health

Machine Learning Engineer

New York, NY · 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 ...

UnifyID

Machine Learning Engineer

Redwood City, CA · On-site

... 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 ...

Hadrian

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 ...

Goodfire

Machine Learning Engineer

San Francisco, CA · On-site

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 ...

Anytime AI

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 ...

Neurable, INC

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 ...

Coinflow

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 ...

Goodfire

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 ...

Neurable, INC

Machine Learning

Cambridge, MA

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 ...

EarnIn

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 ...

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Contract Machine Learning Startup information

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How much do contract machine learning startup jobs pay per hour?

As of May 31, 2026, the average hourly pay for contract machine learning startup in the United States is $48.93, according to ZipRecruiter salary data. Most workers in this role earn between $41.11 and $50.72 per hour, depending on experience, location, and employer.

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

Success in a Contract Machine Learning Startup role generally requires expertise in machine learning algorithms, data analysis, and a solid background in computer science or related fields. Familiarity with programming languages such as Python or R, experience with ML frameworks like TensorFlow or PyTorch, and knowledge of cloud platforms (e.g., AWS, GCP) are typically expected. Strong problem-solving, adaptability, and effective communication help professionals collaborate with clients and respond to rapidly changing project requirements. These skills and qualities are vital to deliver innovative, scalable solutions in fast-paced, outcome-driven startup environments.

What are some common challenges faced by machine learning professionals working on a contract basis at startups?

Machine learning professionals working as contractors at startups often face challenges such as rapidly changing project scopes, limited access to large datasets, and the need to quickly adapt to new tools and frameworks. Startups typically move fast, so contractors must be comfortable with ambiguity and prioritize delivering value in short timeframes. Additionally, they may need to collaborate closely with cross-functional teams, such as product managers and engineers, to ensure that machine learning solutions align with business goals.

What is a Contract Machine Learning Startup?

A Contract Machine Learning Startup is a company or team that provides machine learning solutions and services to clients on a contract basis. Instead of developing their own products, these startups typically work with other businesses to build custom machine learning models, analyze data, and help integrate AI technologies into existing workflows. They may offer expertise in areas such as natural language processing, computer vision, or predictive analytics, and usually operate on short-term or project-based contracts. This approach allows client companies to access specialized knowledge without hiring full-time data scientists or engineers.

What is the difference between Contract Machine Learning Startup vs Data Scientist?

AspectContract Machine Learning StartupData Scientist
CredentialsRelevant degrees, certifications in ML/AITypically similar credentials, often with advanced degrees
Work EnvironmentProject-based, startup setting, flexible hoursOffice or remote, corporate or research settings
Employer & IndustryStartups in tech, AI, or data-driven sectorsVaried industries including tech, finance, healthcare
Search & Comparison IntentUnderstanding contract roles in ML startupsExploring data science career options

Contract Machine Learning Startup roles focus on short-term, project-based work within startup environments, often requiring specialized skills in ML and AI. Data Scientists typically work in more established companies or research settings, with similar credentials but often in a full-time capacity. Both roles demand strong technical backgrounds, but contract roles offer flexibility and varied projects, while Data Scientists may have more stability and broader responsibilities.

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What states have the most Contract Machine Learning Startup jobs? States with the most job openings for Contract Machine Learning Startup jobs include:
What job categories do people searching Contract Machine Learning Startup jobs look for? The top searched job categories for Contract Machine Learning Startup jobs are:
Contract Machine Learning Startup jobs near you
Contract Machine Learning Engineer

Contract Machine Learning Engineer

Atrium

Manhattan, NY • On-site

$75 - $110/hr

Other

Medical, PTO

Posted 7 days ago

Atrium Health rating

7.5

Company rating: 7.5 out of 10

Based on 603 frontline employees who took The Breakroom Quiz

183rd of 864 rated healthcare providers

Job description

Client Overview:
We are partnering with an innovative technology organization focused on delivering scalable AI and machine learning solutions across enterprise platforms. The team is building modern cloud-native infrastructure and advanced ML systems to support high-impact business initiatives, and they are looking to add a Contract Machine Learning Engineer. This is an opportunity for a Contract Machine Learning Engineer to work alongside experienced Engineers, Data Scientists, and Platform teams in a fast-paced and collaborative environment.
Salary/Hourly Rate:
$75/hr - $110/hr (Depending on experience, technical skill set, and project scope)
Position Overview:
Our client is seeking an experienced Contract Machine Learning Engineer to support the deployment, automation, and operationalization of machine learning platforms and production AI systems. This Contract Machine Learning Engineer will work closely with Data Science, DevOps, Cloud Engineering, and Software Development teams to streamline ML workflows, improve deployment reliability, and optimize scalable cloud infrastructure. The ideal candidate has hands-on experience supporting production ML environments and building automated MLOps pipelines.
Responsibilities of the Contract Machine Learning Engineer:
  • Design, implement, and support scalable MLOps infrastructure and deployment frameworks.
  • Build and maintain CI/CD pipelines for machine learning model training, testing, and deployment.
  • Collaborate with Data Scientists and Engineering teams to productionize ML models and AI services.
  • Automate model monitoring, validation, retraining, and performance tracking processes.
  • Support containerized deployments using Kubernetes and Docker technologies.
  • Manage and optimize cloud-based ML environments across AWS, Azure, or GCP.
  • Implement model versioning, experiment tracking, and reproducibility standards.
  • Monitor production systems for model drift, latency, reliability, and operational issues.
  • Troubleshoot infrastructure and deployment-related challenges across distributed environments.
  • Document MLOps workflows, platform architecture, and operational best practices.
Required Experience/Skills for the Contract Machine Learning Engineer:
  • 4+ years of experience in MLOps, Machine Learning Engineering, DevOps, or Platform Engineering.
  • Strong experience deploying machine learning models into production environments.
  • Advanced Python programming skills and familiarity with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Experience with CI/CD tools, including GitHub Actions, Jenkins, GitLab CI, or similar platforms.
  • Hands-on expertise with Docker, Kubernetes, and container orchestration.
  • Strong cloud platform experience with AWS, Azure, or Google Cloud Platform.
  • Experience with ML orchestration and lifecycle management tools such as MLflow, Kubeflow, SageMaker, Vertex AI, or Airflow.
  • Familiarity with Infrastructure-as-Code tools such as Terraform or CloudFormation.
  • Strong understanding of APIs, distributed systems, and production monitoring tools.
  • Excellent troubleshooting, communication, and collaboration skills.
Preferred Experience/Skills for the Contract Machine Learning Engineer:
  • Experience supporting Generative AI, LLMOps, or AI platform engineering initiatives.
  • Familiarity with vector databases, RAG architectures, and AI orchestration frameworks.
  • Experience working within enterprise or highly regulated environments.
  • Knowledge of Spark, Kafka, Snowflake, or large-scale data processing platforms.
  • Exposure to GPU infrastructure and model optimization workflows.
  • Cloud certifications or Kubernetes certifications preferred.
Education Requirements:
  • Bachelor's degree in Computer Science, Engineering, Information Technology, Data Science, or a related technical discipline is preferred.
Benefits:
  • Competitive hourly compensation.
  • Opportunity for contract extension and long-term engagement.
  • Exposure to enterprise-scale AI/ML initiatives.
  • Access to modern cloud and AI technologies.
  • Collaborative Engineering and Data Science teams.
  • Weekly pay and dedicated recruiter support.
  • Atrium Care Package available, upon eligibility (including healthcare plans, discount programs, and paid time off).
About Atrium: What you do matters. Guided by our Applicant-Centric™ approach, we foster an environment of collaboration, high performance, and innovation where your talents are valued, and your achievements are celebrated. Join us and become part of an inclusive team committed to your growth and success.
By applying to this job, you agree to receive calls, AI-generated calls, text messages, and/or emails from Atrium and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to opt out on any message you receive. For more details, please review our Terms of Use and Privacy Policy .
As a woman-owned firm, we value diversity. We are an equal opportunity and affirmative action employer and will consider all applications without regard to race, sex (including gender, pregnancy, sexual orientation and gender identity), age, color, religion or creed, national origin or ancestry, veteran status, disability (physical or mental), genetic information, citizenship or any other characteristic protected by law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Candidates who apply for roles through the Atrium website will be added to our candidate pool and may be considered for additional roles of a similar title. Please contact us to request an accommodation.
EOE/M/F/D/V/SO
Position ID: 396660

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About Atrium Health

Sourced by ZipRecruiter

Atrium Health is one of the nation's leading healthcare organizations, connecting patients with on-demand care, world-class specialists and the region's largest primary care network. A recognized leader in healthcare delivery, quality and innovation, our foundation rests on providing clinically excellent and compassionate care. We've been serving our community since 1940, when we opened our doors as Charlotte Memorial Hospital. Since then, our network has grown to include more than 40 hospitals and 900 care locations ranging from doctors' offices to behavioral health centers to nursing homes. Our focus: Delivering the highest quality patient care, supporting medical research and education, and joining with partners outside our walls to keep our community healthy.

Industry

Hospitals

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

1940

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