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Machine Learning Ai Developer Jobs in Massachusetts

Nanite Inc.

Machine Learning Engineer

Boston, MA · On-site

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... Design and implement complex data engineering processes to support innovative data science modeling

Nanite Inc.

Machine Learning Engineer

Boston, MA

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... Design and implement complex data engineering processes to support innovative data science modeling

Skill

AI Engineer - Machine Learning 3

Boston, MA · On-site

$80 - $90/hr

Experience evaluating, debugging, and improving machine learning models, data pipelines, and AI-powered applications. * Proficiency in programming with experience in problem diagnosis and resolution.

Alsym Energy

Machine Learning Engineer (Malden)

Malden, MA · On-site

$130K - $215K/yr

Base pay range $130,000.00/yr - $215,000.00/yr Direct message the job poster from Alsym Energy Alsym Energy is seeking a Machine Learning Scientist or Engineer to design, build, and deploy agentic AI ...

Roberts Recruiting

AI Developer

Boston, MA · On-site

Robotics, human-robot interaction, game development, agent AI, autonomous planning, machine learning, probabilistic reasoning, etc. * Strong programming skills, preferably with JavaScript ...

Deloitte

Oracle AI Manager

Boston, MA · On-site

... machine learning operations, continuous integration/continuous delivery pipelines, and DevOps practices Experience applying AI solutions in finance, healthcare, or supply chain environments ...

Goodwin

Sr. AI Developer

Boston, MA · On-site

$59.25 - $78.25/hr

We are seeking an AI Engineer with a passion for emerging AI technologies from Microsoft. This ... Azure Machine Learning: Utilize Azure Machine Learning for model training, deployment, and ...

Goodwin Procter LLP

Sr. AI Developer

Boston, MA · On-site

$59.25 - $78.25/hr

We are seeking an AI Engineer with a passion for emerging AI technologies from Microsoft. This ... Azure Machine Learning: Utilize Azure Machine Learning for model training, deployment, and ...

Amazon

Machine Learning Engineer, Alexa AI

Boston, MA · On-site

The Alexa AI team is looking for a passionate, talented, and inventive Machine Learning Engineer with a strong machine learning background, to build capabilities such as fine tuning, distillation ...

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Machine Learning Ai Developer information

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence or machine learning, such as senior AI researcher, lead data scientist, or AI architect, often requiring advanced skills, extensive experience, and expertise in tools like Python, TensorFlow, or PyTorch. Such roles usually involve strategic decision-making, innovation, and leadership in AI projects, and they tend to be found in large tech companies or specialized research organizations. Compensation at this level reflects the complexity and impact of the work, along with responsibilities like managing teams or developing cutting-edge AI solutions.

What engineer makes $500,000 a year?

Senior machine learning AI developers with extensive experience, advanced skills in deep learning, and proficiency in tools like TensorFlow or PyTorch can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within top tech companies. Such roles often require advanced degrees, certifications, and a strong track record of impactful projects.

What is the difference between Machine Learning Ai Developer vs Data Scientist?

AspectMachine Learning Ai DeveloperData Scientist
CredentialsBachelor's or higher in CS, AI, or related fields; certifications in ML/AIBachelor's or higher in CS, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentDevelops AI models, algorithms, and applications; often in tech companies or R&DAnalyzes data, builds models, and provides insights; in various industries including finance, healthcare
Industry UsagePrimarily in AI product development, software, and tech firmsAcross industries for data analysis, business intelligence, and decision-making

While both roles require knowledge of machine learning and programming, Machine Learning Ai Developers focus on creating and deploying AI models and applications, whereas Data Scientists analyze data to extract insights and inform business strategies. The roles often overlap but differ in primary focus and application.

What is the salary of AI ML developer?

The salary of a Machine Learning AI Developer varies based on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually in many regions. Senior roles or those with specialized skills in deep learning, natural language processing, or cloud platforms can earn higher salaries, especially with certifications and advanced degrees.

Which 3 jobs will survive AI?

For a Machine Learning AI Developer, roles that require complex problem-solving, creativity, and human judgment are likely to persist, such as data scientists, AI ethics specialists, and AI system architects. These positions involve tasks that are difficult to automate and often require advanced domain knowledge, critical thinking, and collaboration skills. Continuous learning and expertise in tools like Python, TensorFlow, or cloud platforms enhance job security in this field.
What are popular job titles related to Machine Learning Ai Developer jobs in Massachusetts? For Machine Learning Ai Developer jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Machine Learning Ai Developer jobs in Massachusetts look for? The top searched job categories for Machine Learning Ai Developer jobs in Massachusetts are:
What cities in Massachusetts are hiring for Machine Learning Ai Developer jobs? Cities in Massachusetts with the most Machine Learning Ai Developer job openings:
Machine Learning Ai Developer jobs near you
Applied Machine Learning/AI Scientist

Applied Machine Learning/AI Scientist

Repertoire Immune Medicines

Cambridge, MA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 24 days ago

Job description

Applied Machine Learning/AI ScientistRepertoire Immune Medicines is a clinical-stage biotechnology company harnessing the power of the human immune system to develop transformative therapies for cancer and autoimmune disease. Using its proprietary DECODETM platform—which maps the immune synapse between T cell receptors (TCRs) and their antigen targets—Repertoire translates unique biological insights into potent and targeted off-the shelf immune medicines. The company integrates deep protein engineering expertise with artificial intelligence, powered by a proprietary DECODE database of over one billion TCR-antigen interactions, to accelerate discovery and optimize drug candidates.
From its sites in Cambridge, Massachusetts and Zurich, Switzerland, Repertoire is advancing a pipeline of T cell-targeted immunotherapies with the potential to address a broad range of cancers and autoimmune disorders. The company’s lead oncology program, RPTR-1-201, a TCR bispecific, has initiated a Phase 1/2 clinical trial across multiple solid tumor indications. Repertoire plans to advance additional TCR bispecific therapies into clinical trials over the next 12-18 months. In autoimmune disease, Repertoire is partnering with leading pharmaceutical companies to develop mRNA tolerizing therapies designed to selectively expand regulatory T cells and reset the immune system.
Repertoire was founded in 2019 by Flagship Pioneering and is supported by a strong investor base. The DECODE platform has been validated through four strategic partnerships with leading pharmaceutical companies—Bristol Myers Squibb, Genentech, Eli Lilly, and Pfizer—representing over $4.5 billion in disclosed total deal value and $185 million in upfront payments received to date.Role OverviewRepertoire Immune Medicines is seeking an Applied Machine Learning Scientist to join the Artificial Immune Intelligence team to enable the discovery of new insights from our extensive and growing immune synapse database. The successful candidate will work at the intersection of applied machine learning, statistics, computational biology, and data science with broad impact across early discovery, candidate development, and biomarker discovery efforts.
This position offers a unique opportunity to apply and advance state‑of‑the‑art computational methods—including protein language models, structural modeling, and deep learning—to better understand the immune response and leverage these insights to develop transformational immune medicines. The successful candidate will collaborate closely with experimental, clinical, and computational colleagues to translate computational insights into therapeutic candidates and biomarker strategies.Key Responsibilities
  • Assist in the conception, development, optimization, and evaluation of machine learning models to better understand the TCR–peptide‑MHC interface.
  • Develop, evaluate, and implement rigorous analytical models and methods as needed for scientific discovery and development.
  • Work alongside other machine learning scientists, computer science engineers, wet-lab scientists, and project managers, contributing to early discovery, lead identification, lead optimization, and biomarker development.
  • Maintain familiarity with current scientific literature to assist in the development and benchmarking of new methods.
  • Communicate findings both internally and externally via presentations and publication.
Qualifications/Experience
  • PhD in computational biology, machine learning, engineering, statistics, biostatistics, biomedical engineering, immunology, genetics, cancer biology, or a related quantitative field; or a Master’s degree with 3+ years of relevant industry or academic experience.
  • Demonstrated ability to deliver impact in cross‑functional, multidisciplinary scientific teams.
  • Hands‑on experience with protein language models (PLMs), structural modeling, or related ML approaches for biological data.
  • Familiarity with evaluating and interpreting predicted protein structures, including interface confidence metrics (e.g., pTM, ipTM), and incorporating structural features into machine learning workflows.
  • Strong programming skills in Python, including experience with scientific and ML libraries such as NumPy, SciPy, pandas, PyTorch, and/or TensorFlow.
  • Proven ability to analyze and model complex, high‑dimensional biological datasets using sound computational and statistical practices to drive novel insights.
  • Track record of contributing to scientific publications or equivalent technical outputs (e.g., preprints, conference papers, internal technical reports).
  • Intellectual curiosity, scientific rigor, and enthusiasm for working in a fast‑paced, evolving research environment.
Preferred Qualifications
  • Experience working with TCR-pMHC binding is a strong plus as well as a background in immunology/immuno-oncology.
  • Practical experience with PLM fine-tuning, embedding extraction, and attention-based interpretation for downstream biological tasks (e.g. binding prediction, fitness landscapes, mutational scanning).
  • Experience with structural modeling tools and frameworks, including protein structure prediction (AlphaFold2/3, RoseTTAFold, ESMFold), structure-based design (ProteinMPNN, RFdiffusion), and/or graph neural networks operating on 3D protein coordinates (e.g. GCN, raph Transformers, GVP-GNN).

The base salary for this role ranges from $134,000 to $160,000 and is determined based on a candidate’s skills, experience, and internal equity. In addition to a competitive base salary, Repertoire offers a broad range of benefits designed to attract, retain, and motivate top talent, including medical, dental, vision, and life insurance, flexible time off, a 401(k) retirement plan, and short- and long-term incentive opportunities. Compensation and benefits are based on Repertoire’s good faith estimate at the time of publication and may be updated in the future.
 
Repertoire is committed towards social responsibility and developing an inclusive culture.  Much as the power of the immune system lies in the diversity of T and B cells, we believe that our work requires the creativity and ingenuity of a diverse workforce, and we are committed to pursuing that in all facets of the work experience at Repertoire.  We will continue to educate ourselves about the inequities and barriers present in our society and act as a company where we can make a difference.
Repertoire is proud to be an Equal Opportunity Employer.
 

Recruitment & Staffing Agencies: Repertoire Immune Medicines (“Repertoire”) does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Repertoire or its employees is strictly prohibited unless contacted directly by Repertoire’s internal Human Resources team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Repertoire, and Repertoire will not owe any referral or other fees with respect thereto.
 

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