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Startup Machine Learning Remote Jobs in Pittsfield, MA

ACS Consultancy Services

AI/ML Engineer

Albany, NY · Remote

Remote We are currently seeking candidates who meet the following qualifications. Key Responsibilities * Develop, train, and deploy machine learning and deep learning models for classification ...

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Startup Machine Learning Remote information

See Pittsfield, MA salary details

$28.5K

$47.5K

$98.2K

How much do startup machine learning remote jobs pay per year?

As of Sep 5, 2026, the average yearly pay for startup machine learning remote in Pittsfield, MA is $47,537.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,300.00 and $51,400.00 per year, depending on experience, location, and employer.

What is a startup machine learning engineer remote?

Remote startup machine learning jobs involve working for early-stage companies or startups to design, develop, and implement machine learning models and solutions, all while working from a remote location. These roles typically require strong programming skills, experience with data analysis, and familiarity with machine learning frameworks. Startups often offer dynamic environments where employees can work on diverse projects and contribute directly to the product's growth. Remote positions provide flexibility in work location and hours, but also require self-motivation and excellent communication skills to collaborate with distributed teams.

What skills and qualifications are needed to thrive as a startup machine learning engineer remote?

To thrive as a Startup Machine Learning Engineer remotely, you need a solid background in computer science, statistics, and machine learning algorithms, typically supported by a relevant degree or equivalent experience. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms (AWS, GCP, or Azure), and version control systems like Git is essential. Strong self-motivation, communication skills, and the ability to collaborate effectively across time zones help set outstanding candidates apart. These skills and qualities are crucial for delivering impactful ML solutions independently while contributing to fast-paced, distributed startup teams.

What are some unique challenges faced by startup machine learning engineers working remotely?

Machine learning professionals at startups often encounter fast-paced environments where priorities can shift quickly, and working remotely adds another layer of complexity. Collaboration with cross-functional teams, such as engineers and product managers, may require proactive communication to ensure alignment and clarity on project goals. Additionally, limited resources and data infrastructure at startups may mean you'll need to wear multiple hats and help shape processes from the ground up. However, this environment offers high autonomy, opportunities to have a direct impact, and rapid career growth potential as the startup scales.

What cities near Pittsfield, MA are hiring for Startup Machine Learning Remote jobs?

Cities near Pittsfield, MA with the most Startup Machine Learning Remote job openings:

Startup Machine Learning Remote jobs near you
Infographic showing various Startup Machine Learning Remote job openings in Pittsfield, MA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $47,537 per year, or $22.9 per hour.

AI/ML Engineer

ACS Consultancy Services

Albany, NY • Remote

Other

Re-posted 13 days ago

Job description

Job Title: AI/ML Engineer

Location: Remote

We are currently seeking candidates who meet the following qualifications.

Key Responsibilities

  • Develop, train, and deploy machine learning and deep learning models for classification, prediction, recommendation, NLP, or computer vision tasks.
  • Work with large, structured and unstructured datasets to extract insights and prepare data for modeling.
  • Build and optimize data pipelines and ML workflows using frameworks like TensorFlow, PyTorch, scikit-learn, or XGBoost.
  • Implement models in production environments using MLOps best practices (e.g., model versioning, monitoring, CI/CD).
  • Collaborate with software engineers to integrate AI/ML solutions into production applications and services.
  • Perform model evaluation, A/B testing, and tuning to ensure high performance and reliability.
  • Stay current with the latest research and trends in machine learning and artificial intelligence.
Requirements
  • Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related field.
  • Experience in AI/ML engineering or a related role.
  • Proficient in Python and familiar with ML libraries such as TensorFlow, Keras, PyTorch, scikit-learn, and pandas.
  • Solid understanding of supervised, unsupervised, and deep learning algorithms.
  • Experience with cloud platforms (AWS, Azure, or GCP) and services like SageMaker, Vertex AI, or Azure ML.
  • Experience with version control (Git) and containerization tools like Docker and Kubernetes.
  • Strong problem-solving skills and a collaborative mindset.
  • Federal Experience is a plus.
  • Required Security clearance.
    If you meet these qualifications, please submit your application via link provided in Linkedin.
    Kindly do not call the general line to submit your application.