Associate Machine Learning Chemistry Jobs in Massachusetts

A career in IBM Consulting is rooted by long term relationships and close collaboration with clients across the globe.

You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio, including Software and Red Hat.

Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in groundbreaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.

About Business Unit:

IBM Consulting is IBM’s consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients’ businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet.

Your role and responsibilities

Our team is looking for candidates with exceptional technical aptitude, a passion for applied data science, and an interest in solving business challenges with machine learning.

The successful candidate will join a fast-paced consulting team composed of Partners, Product Managers, Data Scientists, Architects, and Software Engineers to conceptualize, develop, and deploy machine learning solutions that solve enterprise-scale problems. As a team, we pride ourselves on tackling some of the most complex challenges our clients face by combining subject matter expertise, data science, and technical execution.

As a Machine Learning Developer Associate, you will have the opportunity to work with industry-leading machine learning technologies on cloud platforms such as IBM Cloud, Microsoft Azure, AWS, and edge environments. You will contribute to projects that deliver business value for client engagements and internal initiatives while collaborating with experienced practitioners across AI, software engineering, and consulting disciplines.

Depending on project requirements and business needs, you may work with technologies such as:

• GenAI and Agentic AI frameworks and models (AutoGen, LangGraph, vLLM, Microsoft Agent Framework, LLM)
• PyTorch, TensorFlow, CUDA
• Computer Vision technologies
• Machine Learning Operations (MLOps) and cloud-native AI solutions
• Spark, Kafka

In this role, you will:

• Design, develop, test, and deploy machine learning and AI solutions for enterprise clients
• Support the development of GenAI, automation, and advanced analytics solutions
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
• Participate in model development, evaluation, deployment, and optimization activities
• Contribute to proof of concepts, prototypes, and production-ready AI applications
• Support project teams in delivering AI and machine learning solutions on major cloud platforms
• Continuously develop your technical and consulting skills through hands‑on project experience, learning opportunities, and mentorship

Candidates considered for positions located in Quebec must be fluent in French.

This opportunity is based in in Toronto, Calgary, or Montreal and supports Associate Consultant hiring cohorts commencing in May 2027 and September 2027. We are recruiting for both start dates and encourage eligible candidates to apply.

Successful applicants must have graduated from a recognized post‑secondary institution prior to their employment start date. Please note that MBA and PhD graduates are not eligible for this program.

Required education

Bachelor's Degree

Required technical and professional expertise

• Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Data Science, Mathematics, Statistics, or a related technical field
• Demonstrated familiarity or interest in machine learning, statistical analysis, artificial intelligence, or data mining through academic projects, internships, hackathons, research, publications, or personal projects
• Experience with one or more programming languages, preferably Python
• Hands‑on experience with GenAI tools and frameworks (e.g., LangChain, Microsoft Agent Framework) and LLM concepts such as prompt engineering, RAG, and agentic workflows
• Strong analytical and problem‑solving skills
• Ability to communicate technical concepts effectively to peers, managers, and clients
• Ability to work independently and collaboratively within cross‑functional teams
• Must be eligible to work full‑time in Canada

Preferred technical and professional experience

• Internship, co‑op, research, or project experience related to machine learning, computer vision, artificial intelligence, data science, or software engineering
• Experience using machine learning or data engineering frameworks such as Scikit‑learn, PyTorch, TensorFlow, or PySpark
• Experience developing software prototypes, proof‑of‑concepts, or AI‑driven applications
• Experience supporting projects involving AI, Machine Learning, Automation, GenAI, or Large Language Models
• Familiarity with cloud‑native application development and related technologies such as Kubernetes, Docker, CI/CD pipelines, and distributed storage systems
• Experience with AI and cloud services on Microsoft Azure, AWS, Google Cloud Platform (GCP), or IBM Cloud
• Familiarity with MLOps concepts, model deployment, monitoring, and governance
• Experience working with data pipelines, ETL processes, or large‑scale data platforms is an asset

IBM Consulting is IBM’s consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients’ businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet.

In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.

Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.

Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on‐going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can‑do attitude and always striving for an outcome focused approach within everything that they do.

Are you ready to be an IBMer?

IBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.

Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business.

At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

IBM is proud to be an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Must have the ability to work in Canada without sponsorship.

This role will involve working with technology that is covered by Export Regulations sanctions. If you are a Foreign National from any of the following US sanctioned countries (Cuba, Iran, North Korea, Syria, and the Crimea, Luhansk, Donetsk, Kherson, and Zaporizhia regions of Ukraine) on a work permit, you are not eligible for employment in this position.

The salary range for the position is based on a full‑time schedule. Your ultimate salary within this range may vary depending on your job‑related skills and experience for this position.

Job Title

Machine Learning Developer Associate (May or September 2027 - Toronto, Calgary, or Montreal)

Job ID

130380

City / Township / Village

State / Province

Country

Canada

Work arrangement

Hybrid

Employment type

Regular

Contract type

Regular

Projected Minimum Salary per year

91,375.00

Projected Maximum Salary per year

129,000.00

Position type

Entry Level

Up to 80% or 4 days a week (home on weekends - based on project requirements)

Company

Shift

General (daytime)

Is this role a commissionable/sales incentive based position?