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$37K

$78K

$132.5K

How much do profound technologies jobs pay per year?

As of Jun 9, 2026, the average yearly pay for profound technologies in the United States is $77,966.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $88,000.00 per year, depending on experience, location, and employer.

What types of projects can I expect to work on at Profound Technologies, and how does the team collaborate on them?

At Profound Technologies, you can expect to work on a wide range of audiovisual integration projects for corporate, educational, and government clients. The team typically collaborates closely across engineering, project management, and installation roles to deliver customized AV solutions. Regular communication through team meetings, project planning sessions, and site visits is essential to ensure smooth project execution. You'll gain hands-on experience with the latest AV technologies while working alongside experienced professionals, offering excellent opportunities for skill development and career advancement.

What are the key skills and qualifications needed to thrive as an AV Systems Engineer at Profound Technologies, and why are they important?

To thrive as an AV Systems Engineer, you need a solid background in audio-visual technology, systems integration, and troubleshooting, typically supported by a relevant degree or certifications like CTS. Familiarity with Crestron, Extron, AMX programming, AutoCAD, and networking protocols is commonly required. Strong project management, customer service, and problem-solving skills help you excel in client-facing and collaborative environments. These abilities are essential for delivering high-quality AV solutions that meet client expectations and maintain system reliability.

What is Profound Technologies?

Profound Technologies is a company specializing in audiovisual (AV) integration and IT solutions. They design, install, and support advanced AV systems for businesses, educational institutions, and other organizations. Their services often include conference room setups, digital signage, video conferencing solutions, and integrated control systems. Profound Technologies aims to enhance communication and collaboration through tailored technology solutions. Their expertise covers both hardware and software aspects to ensure seamless user experiences.

What is the difference between Profound Technologies vs Data Analyst?

AspectProfound TechnologiesData Analyst
Required CredentialsTypically requires a degree in computer science, engineering, or related fields; certifications in data management or programming are commonUsually requires a degree in statistics, mathematics, or related fields; certifications in data analysis tools (e.g., Excel, SQL) are common
Work EnvironmentTech companies, software development firms, or IT departments; often involves project-based workBusiness, finance, healthcare, or marketing sectors; focuses on interpreting data to inform decisions
Employer & Industry UsageUsed by tech firms, consulting agencies, and large corporations for software and system developmentUsed across industries for data interpretation, reporting, and strategic insights

While both roles involve working with data, Profound Technologies typically focuses on software development and technical solutions, whereas Data Analysts primarily interpret data to support business decisions. The roles often overlap in data handling but differ in technical depth and application focus.

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Profound Technologies jobs near you
Infographic showing various Profound Technologies job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $77,966 per year, or $37.5 per hour.

Senior Machine Learning Engineer / Data Scientist

ProFound Therapeutics

Boston, MA • On-site

Full-time

Posted 7 days ago

Job description

Job Summary:
ProFound Therapeutics is pioneering the discovery of the expanded human proteome to unlock a new universe of potential therapeutics. They are seeking a highly motivated Senior Machine Learning Engineer / Data Scientist to join their AI/ML team, focusing on designing and implementing advanced AI/ML systems to support therapeutic discovery and development.
Responsibilities:
• Architect and implement scalable RAG and LLM-based systems that integrate multi-modal data sources, including knowledge graphs, documents, and structured biological datasets.
• Design and deploy RAG and graph-based RAG pipelines that leverage LLMs and knowledge graphs to retrieve, reason over, and synthesize complex biological information.
• Build and maintain agentic orchestration frameworks (multi-agent systems) that coordinate LLM-based agents for end-to-end scientific reasoning, data retrieval, and decision support.
• Collaborate with data engineering teams to design data pipelines that harmonize and prepare large-scale omics datasets for model training.
• Develop and optimize conversational AI (chatbot) interfaces that enable scientists and stakeholders to query, explore, and interact with internal data and model outputs using natural language.
• Partner with experimental scientists to ensure model outputs are biologically interpretable and experimentally testable.
• Stay abreast of advances in LLMs, RAG architectures, agentic AI, and conversational AI; bring innovative ideas into the team.
Qualifications:
Required:
• Ph.D. in Computer Science, Machine Learning, Applied Mathematics, Computational Biology, or related field with 1–3 years of industry experience (preferred); or M.S. in a related field with 4–6 years of industry experience.
• Proven track record in building LLM-based applications, with hands-on expertise in RAG, graph-based RAG, agentic orchestration, and/or chatbot development.
• Proficiency in Python and LLM/ML frameworks such as LangChain, Hugging Face Transformers, PyTorch, or similar.
• Strong experience with knowledge graph technologies, graph databases, and vector databases.
• Demonstrated ability to work in cross-disciplinary teams, communicate complex ideas clearly, and deliver results in fast-moving environments.
Preferred:
• Experience working with multi-omics or high-dimensional biological data is a plus.
• Familiarity with probabilistic modeling, causal reasoning, or statistical inference is a plus.
Company:
ProFound Therapeutics is creating profound impacts on the understanding of biology and disease and the ability to create therapeutics. Founded in 2019, the company is headquartered in Cambridge, USA, with a team of 11-50 employees. The company is currently Early Stage.

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