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Weekend No Experience Machine Learning Jobs in Brighton, MA

Professional Experience & Qualifications * Masters level (or above) experience in CS, ML, and AI is preferred, but can be relaxed for exceptional candidates. * Strong foundation in machine learning ...

Machine Learning Systems Engineer

Boston, MA · On-site +1

$144K - $192K/yr

Experience optimizing machine learning model execution during training and inference, alongside a strong understanding of fundamental machine learning concepts, architectures, and processes.

Machine Learning Systems Engineer

Boston, MA · On-site +1

$144K - $192K/yr

Experience optimizing machine learning model execution during training and inference, alongside a strong understanding of fundamental machine learning concepts, architectures, and processes.

About the position: We're looking for a Senior Machine Learning Engineer with deep expertise in ... Experience with healthcare data or regulated ML systems. * Background in multimodal or stacked ...

Showing results 41-60

Weekend No Experience Machine Learning information

See Brighton, MA salary details

$12

$19

$31

How much do weekend no experience machine learning jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for weekend no experience machine learning in Brighton, MA is $19.60, according to ZipRecruiter salary data. Most workers in this role earn between $17.84 and $19.90 per hour, depending on experience, location, and employer.

What is a weekend no experience machine learning job?

A Weekend No Experience Machine Learning job is a part-time opportunity typically scheduled on weekends for individuals interested in machine learning but who have little or no prior experience in the field. These jobs are designed for beginners and may involve tasks such as data labeling, assisting with simple coding projects, or supporting research teams. They provide a great entry point for those looking to gain hands-on experience, learn industry tools, and build their resumes while balancing other commitments like school or a full-time job.

What are the key skills and qualifications needed to thrive as a weekend no experience machine learning professional?

To thrive as a Machine Learning professional, foundational knowledge in mathematics, statistics, and programming (especially Python) is essential, typically demonstrated through coursework or self-directed learning. Familiarity with machine learning libraries such as scikit-learn or TensorFlow and version control systems like Git is highly beneficial, even at an entry level. Curiosity, problem-solving abilities, and effective communication help newcomers stand out as they learn quickly and collaborate with more experienced team members. These skills and qualities are crucial to building practical expertise, contributing to projects, and adapting to the evolving demands of machine learning roles.

What kind of support and training can I expect starting a weekend no experience machine learning role?

In a weekend machine learning role designed for beginners, you can typically expect onboarding sessions, access to online learning materials, and mentorship from more experienced team members. Many organizations provide structured guidance through tutorials, code reviews, and collaborative projects to help you build foundational skills. You’ll likely be assigned manageable tasks that allow you to gradually familiarize yourself with real datasets and tools, while regular feedback ensures your steady progress. Team meetings and open communication channels are common, so don’t hesitate to ask questions and seek help as you learn.

What is the difference between Weekend No Experience Machine Learning vs Weekend Data Analyst?

AspectWeekend No Experience Machine LearningWeekend Data Analyst
Required CredentialsBasic understanding of programming, no formal certification neededBasic knowledge of data analysis tools, possibly some certifications
Work EnvironmentProject-based, flexible hours, often remotePart-time, flexible hours, often remote or on-site
Industry UsageTech, finance, healthcare, startupsBusiness, marketing, finance, consulting

Weekend No Experience Machine Learning roles focus on introductory tasks like data preprocessing and basic model training, suitable for beginners. Weekend Data Analyst positions involve analyzing datasets, creating reports, and supporting decision-making. Both roles are flexible and often part-time, but they differ in technical depth and industry focus.

What cities near Brighton, MA are hiring for Weekend No Experience Machine Learning jobs?

Cities near Brighton, MA with the most Weekend No Experience Machine Learning job openings:

Machine Learning Research Engineer

Socket.dev

Cambridge, MA • On-site

$120 - $192.50/hr

Other

Medical, Retirement

Posted 16 days ago


Job description

The Company

FL105 is a privately held, early-stage company pioneering the use of artificial intelligence to transform human psychological fitness and wellbeing. We are creating a platform that empowers people to build a life they are proud of and fulfilled by.


FL105 is backed by Flagship Pioneering, an innovation enterprise that conceives, creates, resources, and builds companies that invent breakthrough technologies that transform the world. Flagship has created over 100 groundbreaking companies since 2000, including Moderna.


The Role

FL105 seeks a talented Machine Learning Research Engineer. The successful candidate will innovate, develop and apply machine learning (ML) methods to create foundational psychological tools. This position is ideal for someone with broad expertise in machine learning, reinforcement learning from human feedback, supervised fine tuning, and computational sciences who is looking to join a very dynamic and innovative environment and pioneer the next frontier of innovation, application, and human-ai interactions enabled by state-of-the-art models. A successful candidate should have a passion for building technologies that enable others to maximize their potential.


Working at FL105, you will have the opportunity to work with world-class scientists, engineers, and researchers who work on cutting-edge ai research and applications.


Key Responsibilities

  • Design, develop, and deploy ML-powered applications that leverage large language models (LLMs) to address complex challenges in wellbeing.

  • Collaborate with psychological experts and translate interdisciplinary insights into computational frameworks.

  • Help advance the state of the art in context engineering, agentic AI and learning from human feedback.

  • Build scalable pipelines for data collection, labeling, training, and deployment of LLM-based systems.

  • Support the integration of ML systems into real-world applications with measurable outcomes.

  • Communicate findings to a multi-disciplinary audience.


Professional Experience & Qualifications

  • Masters level (or above) experience in CS, ML, and AI is preferred, but can be relaxed for exceptional candidates.

  • Strong foundation in machine learning, deep learning, and natural language processing (NLP).

  • Publications at top ML / NLP venues such as NeurIPS, ICML, ACL and EMNLP are a bonus

  • Proven experience deploying LLM-powered applications in production environments, including expertise in frameworks like PyTorch, vLLM, and LangGraph.

  • Proficiency in Python and tools for ML development, large-scale data pipelines and pre-processing, and standard evaluation protocols.

  • Self-motivated and comfortable working in ambiguous, fast-moving environments with evolving goals.

  • Excellent communication and presentation skills.

  • Must be able to think independently and work collaboratively.

  • Experience in a previous startup is a plus.


About Flagship Pioneering

Flagship Pioneering invents and builds platform companies, each with the potential for multiple products that transform human health, sustainability and beyond. Since its launch in 2000, Flagship has originated more than 100 companies. Many of these companies have addressed humanity’s most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture.


Flagship has been recognized twice on FORTUNE’s “Change the World” list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies and has been twice named to Fast Company’s annual list of the World’s Most Innovative Companies. Learn more about Flagship at www.flagshippioneering.com.


At Flagship, we accept impossible missions to enable bigger leaps. Our core values guide us through uncertainty and toward lasting impact.


We are an equal opportunity employer

We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.


We recognize that great candidates often bring unique strengths without fulfilling every qualification. If you have some of the experience listed above but not all, please apply anyway. We are dedicated to building diverse and inclusive teams and look forward to learning more about your background and interest in Flagship.


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


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.


The salary range for this role is $120,000 - $192,500. Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. FL105 currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on FL105'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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