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Phd Machine Learning Jobs in Salem, MA (NOW HIRING)

Axon

Senior Machine Learning Scientist

Boston, MA

$99K - $135K/yr

Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI ... PhD and with +5 years for ML Scientist, +8 years for Sr. ML Scientist, +10 years for Principal ML ...

STR

Lead Research Scientist - Machine Learning

Boston, MA · On-site

$174K - $220K/yr

... machine learning, statistics, estimation theory, and information theory algorithms for signals ... MS with at least 8 years of experience, and/or PhD with at least 5 years of experience (or ...

STR

Lead Research Scientist - Machine Learning

Woburn, MA · On-site

$174K - $220K/yr

... machine learning, statistics, estimation theory, and information theory algorithms for signals ... MS with at least 8 years of experience, and/or PhD with at least 5 years of experience (or ...

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Phd Machine Learning information

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How much do phd machine learning jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for phd machine learning in Salem, MA is $24.94, according to ZipRecruiter salary data. Most workers in this role earn between $21.54 and $27.84 per hour, depending on experience, location, and employer.

What is a PhD in machine learning?

A PhD in Machine Learning is an advanced doctoral degree focused on developing new algorithms, theories, and applications in the field of machine learning. Graduates typically conduct original research, contribute to academic publications, and often specialize in areas like deep learning, reinforcement learning, or probabilistic modeling. This degree prepares individuals for careers in academia, industry research labs, or leadership roles in tech companies. The program usually involves coursework, comprehensive exams, and the completion of a dissertation based on novel research.

What are the key skills and qualifications needed to thrive as a PhD-level machine learning professional?

To thrive as a PhD-level Machine Learning professional, you need deep expertise in mathematics, statistics, computer science, and advanced machine learning algorithms, typically supported by a doctoral degree. Proficiency with programming languages like Python or R, machine learning frameworks such as TensorFlow or PyTorch, and experience with large-scale data systems are essential. Strong problem-solving skills, critical thinking, and effective communication set outstanding candidates apart by enabling them to tackle complex research challenges and collaborate across teams. These skills and qualities are crucial for driving innovation, publishing research, and developing impactful machine learning solutions.

What are some common challenges faced by PhD-level professionals in machine learning when transitioning from academia to industry roles?

PhD graduates in machine learning often encounter challenges such as adapting to faster-paced project timelines, aligning research with business objectives, and collaborating in multidisciplinary teams. Unlike academia, where projects can be exploratory and long-term, industry roles usually require actionable results within shorter deadlines. Additionally, communicating complex technical ideas to non-technical stakeholders and prioritizing practical solutions over theoretical novelty are key adjustments. However, these challenges also present opportunities for professional growth and broader impact.

What is the difference between Phd Machine Learning vs Data Scientist?

AspectPhd Machine LearningData Scientist
Required CredentialsPhD in Computer Science, AI, or related fieldBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentResearch labs, academia, R&D departmentsBusiness, tech companies, analytics teams
Industry UsageResearch-focused roles, advanced algorithm developmentData analysis, model building, business insights
Common Search/ComparisonYesYes

While both roles involve working with data and algorithms, a Phd Machine Learning typically focuses on research, developing new models, and theoretical work, often in academic or R&D settings. A Data Scientist applies these techniques to solve practical business problems, analyze data, and generate insights in industry environments.

How much does a PhD in machine learning make?

A PhD in machine learning typically earns between $100,000 and $150,000 annually in industry roles, with salaries increasing for senior positions or in high-demand sectors. Academic positions may offer lower salaries but include research funding and teaching responsibilities.

What can you do with a PhD in machine learning?

A PhD in machine learning prepares individuals for advanced roles such as research scientist, machine learning engineer, data scientist, or AI specialist. These roles involve developing algorithms, analyzing large datasets, and applying AI techniques across industries like technology, healthcare, finance, and autonomous systems. Strong programming skills and knowledge of tools like Python, TensorFlow, or PyTorch are essential for these positions.

What cities near Salem, MA are hiring for Phd Machine Learning jobs?

Cities near Salem, MA with the most Phd Machine Learning job openings:

Phd Machine Learning jobs near you
Infographic showing various Phd Machine Learning job openings in Salem, MA as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 27% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $51,867 per year, or $24.9 per hour.

Machine Learning Scientist

Somerville, MA • On-site

Flagship Pioneering, Inc.
Biotechnology Research and Development • 51 - 200 employees
Learn more about Flagship Pioneering, Inc.external

Full-time

Medical, Retirement

Posted 11 days ago

Job description

What if you could join a rapidly growing company and play a critical role in bringing new medicines to patients through looking at and treating disease in a revolutionary way.
What this position is all about:
We seek a Machine Learning Scientist to join our ML team and lead focused efforts in applying and adapting proprietary foundation models to enable Cellarity's predictive drug discovery platform. As a lead ML Scientist the candidate will develop and apply AI methods to identify novel interventions and targets to accelerate early drug discovery.
This role involves hands-on modeling of high-dimensional biological data, leveraging and fine-tuning state-of-the-art foundation models, while enabling interpretability and biological reasoning. Ideal candidate will have demonstrated application of deep learning and computational biology to biological problems.
The successful candidate will work closely with researchers in biology, chemistry, and omics technology in a collaborative environment.
What you would be responsible for:
  • Model Development
    • Apply, fine-tune, and post-train foundation models (e.g., transformer-based, diffusion, VAE architectures) on single-cell RNA-seq data and other modalities to model disease cellular states
    • Build state-of-the-art perturbation models using multi-modal perturbation data (small molecules, CRISPR, cytokines) and phenotypic data, with emphasis on CRISPR screen data (e.g., Perturb-seq).
    • Develop mechanistic interpretability methods to infer gene networks and regulatory mechanisms via attention, graph-based, and/or causal representation methods, supporting downstream applications such as target identification.
    • Deploy and run inference on generative AI models using proprietary datasets on cloud platforms.
    • Establish clinically relevant benchmarking and evaluation frameworks to assess context generalization and guide model improvements.
    • Stay current with the latest research in foundation models, representation learning (across biology, NLP, vision, and audio), and perturbation modeling.

    Scientific Collaboration
    • Collaborate with interdisciplinary scientists from biology, chemistry, and technology teams to translate research questions into cutting-edge ML solutions.
    • Opportunity to collaborate with and co-develop platform modules alongside other Flagship Pioneering companies.
    • Communicate technical concepts clearly to diverse scientific audiences.

What experiences will you need:
  • PhD in Computer Science, Computational Biology, or related field, OR Master's degree with 3+ years or Master's or Bachelor's degree with 6+ years of relevant ML research experience for drug discovery.
  • Strong foundation in statistics, deep learning and generative AI.
  • Experience with high-dimensional biological data analysis (bulk/single-cell RNA-seq, gene regulatory networks, PPI networks, multi-omics integration).
  • Experience with chemical / CRISPR perturbation screen data (e.g., Perturb-seq), including analysis and modeling.
  • Familiarity with single-cell foundation models (e.g., Geneformer, scGPT, scFoundation) and their downstream applications.
  • Experience applying or fine-tuning pretrained foundation models or deep generative models for downstream biological tasks.
  • Experience with cloud computing (AWS/GCP) and MLOps best practices.
  • Excellent communication skills and ability to work in interdisciplinary teams.

What sets you apart:
  • Experience building agentic AI systems (e.g., LLM-based agents, tool use, multi-step reasoning workflows) for scientific discovery or data analysis.
  • Familiarity with target identification and prioritization in drug discovery.

What it's like to work at Cellarity
At Cellarity, we
  • Push Boundaries: We create a legacy with breakthrough science in service of patients.
  • Inject Energy: We build strengths from different perspectives and tell it like it is
  • Own it: We transcend our job descriptions and relentlessly follow through on our commitments.
  • Go all out: We work quickly and with conviction.

Company Summary: Cellarity is a privately held, clinical-phase drug discovery startup using AI and single-cell omics to develop life-changing medicines that are unreachable by traditional methods of drug discovery. Our pipeline spans multiple exploratory programs across different indications, offering broad opportunities to apply machine learning to diverse disease areas. Cellarity is a product of Flagship Pioneering's venture creation engine, which has conceived and created companies such as Moderna (NASDAQ: MRNA), Generate:Biomedicines, and Lila Sciences.
Cellarity is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Recruitment & Staffing Agencies: Cellarity does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Cellarity or its employees is strictly prohibited unless contacted directly by Cellarity's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Cellarity, and Cellarity will not owe any referral or other fees with respect thereto.
The salary range for this role is $132,000 - $209,000. Compensation for the role will depend on a number of factors, including a candidate's qualifications, skills, competencies, and experience. Cellarity currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on Cellarity's good faith estimate as of the date of publication and may be modified in the future.
Privacy Notice for Applicants: When you apply for a role at Flagship Pioneering or one of its portfolio companies, we collect and use personal information you provide (such as your name, contact details, work history, and application materials) to evaluate your application, communicate with you, and comply with legal obligations. Your application data is processed through Greenhouse, our applicant tracking system, and may also be reviewed using AI-assisted screening tools. We do not sell your personal information. California residents have rights under the CCPA/CPRA including to know, delete, and opt out of the sharing of their personal information. If you are located in the EU or UK, we process your data under GDPR and you have rights to access, rectify, and erase your data. To exercise your rights or for questions, contact privacy@flagshippioneering.com.

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