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Machine Learning Startup Jobs (NOW HIRING)

10a Labs

Machine Learning Engineer

Washington, DC · On-site

$130K - $200K/yr

We are seeking a Machine Learning Engineer (3-5+ years of experience) to help design, build ... Is resourceful, proactive, and comfortable operating in a fast-moving startup environment. * Is ...

Modulate

Machine Learning Engineer

Somerville, MA · On-site

$170K - $200K/yr

We're looking for a Senior Machine Learning Engineer to help advance the state of voice ... Experience in fast-paced startup environments Benefits * Competitive salary + equity * Full health ...

Modulate

Machine Learning Engineer

Somerville, MA · On-site +1

$170K - $200K/yr

We're looking for a Senior Machine Learning Engineer to help advance the state of voice ... Experience in fast-paced startup environments Benefits * Competitive salary + equity * Full health ...

Modulate

Machine Learning Engineer

Somerville, MA · On-site +1

$170K - $200K/yr

We're looking for a Senior Machine Learning Engineer to help advance the state of voice ... Experience in fast-paced startup environments Benefits * Competitive salary + equity * Full health ...

Shipwell

Machine Learning Engineer

Austin, TX · On-site +1

... Startup. Our Culture Shipwell is a fast-paced, high-energy start-up that strives to build the ... About the Role As a Machine Learning Engineer at Shipwell, you'll play a pivotal role in building ...

BetterHelp

OR · On-site

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 ...

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All JobsMachine Learning Startup Jobs

Machine Learning Startup information

See salary details

$25.5K

$42.6K

$88K

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 Expert

Machine Learning Expert

Adidev Technologies Inc

Jersey City, NJ • On-site

Full-time

Re-posted 27 days ago

Job description

Role - Machine Learning Expert
(This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.)
Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our premier client.
About Adidev Technologies Inc.
Adidev Technologies,(www.adidevtechnologies.com) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company - we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation.
Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience.
Global Presence: Our diverse employee workforce spans four continents.
Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA.
How We'll Guide You
Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients.
Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success.
Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients.
Career Growth: We facilitate industry experience to propel your technical journey forward.
Key Responsibilities:
  • Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions.
  • Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring.
  • Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions.
  • Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences.
  • Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement.
  • Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency.
  • Conduct exploratory data analysis to extract valuable insights and influence strategic decisions.
  • Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks.
  • Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices.

Requirements:
  • Degree in Computer Science, Engineering, Statistics, or a related technical field.
  • Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains.
  • Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings.
  • Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems.
  • Strong foundational understanding of algorithmic complexity and data structure optimization.
  • Excellent problem-solving, collaboration, and communication abilities.
  • Develop and implement cutting-edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI.
  • Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions.
  • Stay ahead of AI research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects.
  • Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
  • Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures.
  • Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices.
  • Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative AI, within the team.
  • Ensure all AI implementations are compliant with ethical guidelines and data privacy standards.

How to Apply:
Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise.
Perks and Beyond!
Competitive salary range: Based on experience and market value
Pack your bags! Paid relocation is on us.
We provide support, even from afar, with our remote assistance.
Regular salary reviews? You betcha!
Ready to Embark?
We invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth.
Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Apply