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Phd Machine Learning Startup Jobs in Springfield, MA

Munich Re

Senior Data Scientist

Hartford, CT · On-site

PhD in qualitative discipline is preferred * 4+ years' experience predictive analytics, data mining ... Solid foundation in statistics and machine learning models, processes, and theories, with the ...

Munich Re

Senior Data Scientist

Hartford, CT

PhD in qualitative discipline is preferred * 4+ years' experience predictive analytics, data mining ... Solid foundation in statistics and machine learning models, processes, and theories, with the ...

Raytheon

Senior Statistician (Onsite)

East Hartford, CT · On-site

$86K - $106K/yr

High Dimensional Data Analysis, Bayesian Methods, Survival Analysis, Machine Learning, Data ... or PhD Degree in Statistics (Biostatistics, Mathematics, Data Science, Operations Research or ...

Kafene

Business Development Manager

Hartford, CT · On-site

$140/hr

Cutting-edge AI and machine learning that analyzes 20,000+ data inputs in real-time, empowering ... That's why Built In named us a Startup to Watch and Forbes recognized us as one of the Best Startup ...

Speechify

Go-to-Market - Hartford, CT, USA

Hartford, CT

$150K - $200K/yr

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over ... leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many ...

Speechify

Go-to-Market - Hartford, CT, USA

Hartford, CT · On-site

$150K - $200K/yr

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over ... leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many ...

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All JobsPhd Machine Learning Startup JobsPhd Machine Learning Startup Jobs in Springfield, MA

Phd Machine Learning Startup information

See Springfield, MA salary details

$25.4K

$42.4K

$87.7K

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

As of Aug 8, 2026, the average yearly pay for phd machine learning startup in Springfield, MA is $42,435.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,400.00 and $45,800.00 per year, depending on experience, location, and employer.

What are common challenges faced by PhD machine learning professionals in startups?

PhD-level professionals in machine learning startups often encounter challenges such as balancing research innovation with the need for rapid product development. Unlike academia, startups prioritize practical solutions that fit tight deadlines and resource constraints. Team members typically wear multiple hats and collaborate closely with engineers, product managers, and business stakeholders, requiring strong communication skills and adaptability. Additionally, translating cutting-edge research into scalable, real-world applications can be both intellectually rewarding and demanding.

What does a PhD machine learning professional do at a startup?

PhD holders in Machine Learning at startups typically lead research and development efforts to create innovative algorithms and models that solve real-world problems. They often work on designing and implementing advanced machine learning solutions, analyzing large datasets, and collaborating with product and engineering teams to bring research ideas to production. Their expertise helps startups stay competitive by driving technological advancements and fostering a culture of innovation.

What skills and qualifications are needed to thrive as a PhD machine learning professional in a startup?

To excel as a PhD-level Machine Learning professional at a startup, you need advanced expertise in machine learning algorithms, statistical modeling, and a doctoral degree in a related field. Experience with Python, TensorFlow, PyTorch, and version control systems, along with a strong publication record, is typically expected. Initiative, adaptability, and excellent problem-solving and communication abilities are crucial soft skills in the fast-paced startup setting. These competencies enable rapid innovation, effective team collaboration, and successful deployment of machine learning solutions under resource constraints.
What job categories do people searching Phd Machine Learning Startup jobs in Springfield, MA look for? The top searched job categories for Phd Machine Learning Startup jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Phd Machine Learning Startup jobs? Cities near Springfield, MA with the most Phd Machine Learning Startup job openings:
Phd Machine Learning Startup jobs near you

AI Trainer - Microbiology Expert

micro1 AI

Springfield, MA • Remote

$70 - $90/hr

Part-time

Posted 11 days ago

Job description

Role Title: Microbiologist


Role Type: Contractor


Location: Remote


micro1 is engaging Microbiologists to contribute their scientific expertise to a unique customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Key Responsibilities:

  1. Investigate and analyze the development, morphology, and behavior of microscopic organisms including bacteria, fungi, and algae.
  2. Contribute to the study of the relationship between microorganisms and disease, supporting projects involving medical microbiology.
  3. Assess the impact of antibiotics and other agents on microbial populations, providing insights for AI model accuracy.
  4. Document experimental findings and processes with a focus on clarity for AI training data.
  5. Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.
  6. Provide written and verbal expertise on microbiological phenomena and their relevance to real-world and computational contexts.
  7. Utilize rubrics and established evaluation criteria to assess data quality and support AI training workflows.


Required Skills and Qualifications:

  1. Bachelor’s degree or higher in Biology, Microbiology, Chemistry, or a related field.
  2. Extensive knowledge of bacterial, fungal, and algal systems.
  3. Demonstrated expertise in investigating microbial structure and physiology.
  4. Strong written and verbal communication skills for technical and interdisciplinary collaboration.
  5. Ability to document processes and findings clearly for integration into AI systems.
  6. Comfort working independently in a fully remote, digital-first environment.
  7. Attention to detail and commitment to scientific accuracy.


Preferred Qualifications:

  1. Prior experience developing or applying rubrics in scientific or educational contexts.
  2. Experience with AI, machine learning, or annotation projects related to biology or microbiology.
  3. Advanced degree (Master’s or PhD) in a relevant field.

Apply