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Contract Machine Learning Startup Jobs in Illinois

Senior ML Engineer

Chicago, IL · Remote

$180K - $240K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a ... You're an applied AI engineer who thrives in startup environments, writes clean Python, and can ...

$28 - $30/hr

ASAP Pay Rate: $28-$30 per hour Contract Length: 12 months - potential conversion to FTE **This ... Machine Learning Support * Collaboration with ML Engineers and Architects: Work with Machine ...

AI/ML

Chicago, IL · On-site

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects ...

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects ...

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects ...

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects ...

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects ...

Role: Agentic AI/AI Engineer - Generative AI & Machine Learning Location:  Schaumburg, IL (Hybrid - 3 Days Onsite per Week) Long Term Contract Job Summary: We are seeking a highly motivated and ...

... startup. As a leading U.S. ordering and delivery marketplace, we feature over 415,000 merchants in ... Proven experience applying data science and machine learning to complex business problems, such as ...

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Contract Machine Learning Startup information

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 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.

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 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 are the most commonly searched types of Machine Learning Startup jobs in Illinois? The most popular types of Machine Learning Startup jobs in Illinois are:
What job categories do people searching Contract Machine Learning Startup jobs in Illinois look for? The top searched job categories for Contract Machine Learning Startup jobs in Illinois are:
What cities in Illinois are hiring for Contract Machine Learning Startup jobs? Cities in Illinois with the most Contract Machine Learning Startup job openings:

Senior ML Engineer

Career Renew

Chicago, IL • Remote

$180K - $240K/yr

Full-time

Medical, PTO

Re-posted 14 days ago


Job description

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 180-240K USD plus benefits plus equity.
Since 2017, we’ve been on a mission to use AI to resolve as many conversations as possible while elevating human agents to do what they are uniquely good at.

We are looking for a Senior Machine Learning Engineer with 5+ years of experience to join our small but mighty ML team building production-grade AI voice agents used by enterprise customers like AAA and Fanatics. You're an applied AI engineer who thrives in startup environments, writes clean Python, and can ship LLM-powered systems that handle real, high-stakes conversations at scale — not just run experiments.


What will you be doing?

  • Leading the exploration and application of Large Language Models and Generative AI, venturing into new areas within these fields

  • Translating the latest research into high-performing systems and models that can be practically applied to enhance user experiences

  • Help set the team's strategic direction, cultivating an environment that encourages innovation and professional growth

  • Actively engaging in all aspects of development, from ideation and experimentation to implementation and deployment

  • Collaborating with various teams and product managers to develop and implement ML based solutions, ensuring performance optimization and alignment with broader business goals

Requirements:
5 - 10 years of experience in applied ML engineering, building production systems in Python with LLMs or NLP (Mandatory)
Experience building production systems in Python (Mandatory)
Familiarity with low-latency production ML systems (Mandatory)
Experience working at a high-growth startup (Mandatory)
Background in NLU, NLP, or conversational AI (Nice-to-have)
BS/MS/PhD in CS, ML, Mathematics, or closely related field with ML coursework (Mandatory)
Why you should join
  • Industry leader in Voice AI for customer service since 2017 — powering enterprise customers like AAA and Fanatics where 50%+ of callers get fully resolved by the bot with higher satisfaction scores than human agents.
  • $113M raised from top-tier investors including Stripes, Salesforce Ventures and Norwest — Series B closed in 2022 at $78M with strong backing from day one.
  • Work on genuinely cutting-edge AI problems — low latency inference, hallucination reduction, prompt injection guardrails and dynamic conversation design at the frontier of what's possible with LLMs today.
  • Small team means real ownership and real impact — every improvement you ship moves the needle for enterprise customers in high-stakes scenarios (think: someone stranded on the road calling AAA).
  • Remote-first with strong perks — flexible vacation, paid sabbatical after 5 years, comprehensive health benefits, wellness stipend and a tech/learning stipend for conferences, books and courses. Competitive salary ($180K–$230K) plus meaningful equity.