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Compression Services Jobs in Boston, MA (NOW HIRING)

TraceLink

Applied Scientist, GenAI

Wilmington, MA · On-site

... compression strategies, and inference efficiency improvements. • Mentor peers through code ... service operations: containers, APIs, observability, reliability practices • MS/PhD in CS/ML/NLP ...

Massgeneralbrigham

HVAC Repairman - BG2

Salem, MA

Design care and services for and with each patient. Recognize that patients see quality service as ... Adjusts refrigerant flow and suction valves in order to maintain desired degree of compression and ...

Restore Hyper Wellness

Wellness Representative

Hingham, MA · On-site

$16 - $21/hr

Enjoy Red Light Therapy, Cryotherapy, Compression Therapy, Infrared Sauna, and Mild Hyperbaric Oxygen Therapy at no cost. * Free & Discounted Wellness Services: Receive one FREE IV Drip and one FREE ...

Mass General Brigham

HVAC Repairman - BG2

Salem, MA · On-site

As a not-for-profit, we support patient care, research, teaching, and community service, striving ... degree of compression and temperature levels. Drains and refills equipment with refrigerant as ...

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Compression Services information

What are the key skills and qualifications needed to thrive as a Compression Services Technician, and why are they important?

To thrive as a Compression Services Technician, you need a solid understanding of mechanical systems, experience with gas compression equipment, and typically a technical diploma or relevant industry certification. Familiarity with diagnostic tools, maintenance software, and safety protocols is essential for effective equipment servicing. Strong problem-solving, communication, and teamwork skills help technicians diagnose issues quickly and collaborate with field teams. These skills ensure safe, efficient operation of compression systems, minimizing downtime and maintaining compliance with industry standards.

What are Compression Services?

Compression services refer to the maintenance, repair, and optimization of equipment used to compress gases, such as natural gas, for transportation and storage. These services are commonly needed in industries like oil and gas, manufacturing, and utilities where efficient gas movement is critical. Providers of compression services may handle installation, troubleshooting, and routine inspections to ensure equipment runs safely and efficiently. The goal is to minimize downtime and maximize the performance and lifespan of compression systems.

What is the difference between Compression Services vs Pipefitters?

AspectCompression ServicesPipefitters
CertificationsHVAC, refrigeration, or specialized compression certificationsJourneyman or master pipefitter licenses, welding certifications
Work EnvironmentIndustrial plants, HVAC systems, refrigeration unitsConstruction sites, industrial facilities, piping systems
Industry UsageHVAC, refrigeration, manufacturingPlumbing, piping installation, industrial maintenance

Compression Services and Pipefitters both work with piping systems, but Compression Services focus on installing and maintaining compression equipment like HVAC and refrigeration systems, while Pipefitters specialize in piping installation and repair across various industries. Understanding these differences helps clients choose the right professional for their project needs.

What are some common challenges faced by professionals working in Compression Services, and how can they be addressed?

Professionals in Compression Services often encounter challenges such as troubleshooting equipment malfunctions, managing high-pressure situations during system failures, and ensuring compliance with safety regulations. Staying updated with the latest technologies and maintenance practices can help address these issues effectively. Collaboration with engineering, operations, and safety teams is essential for quickly resolving problems and maintaining optimal system performance. Continuous training and clear communication are key to overcoming these challenges and ensuring reliable compression services.
What are popular job titles related to Compression Services jobs in Boston, MA? For Compression Services jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Compression Services jobs in Boston, MA look for? The top searched job categories for Compression Services jobs in Boston, MA are:
Compression Services jobs near you
Infographic showing various Compression Services job openings in Boston, MA as of July 2026, with employment types broken down into 2% As Needed, 76% Full Time, 12% Part Time, 5% Contract, 1% Nights, and 4% Summer. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.
Applied Scientist, GenAI

Applied Scientist, GenAI

TraceLink, Inc

Wilmington, MA • On-site

Other

Re-posted 10 days ago

Job description

Staff / Senior Applied Scientist, GenAI & ML Systems

Location: Wilmington, MA (US) - Fulltime Onsite 

About the Role

We are hiring a Staff / Senior Applied Scientist to lead the design and deployment of production-grade GenAI and ML systems with a strong emphasis on being hands-on. You will personally build, iterate, and ship systems focused on LLM/SLM optimization for agentic, multi-agent architectures in cloud environments.

This role is ideal for someone with deep expertise in one or more areas of LLM/SLM optimization for agent-based systems, and hands-on experience in designing, implementing, and operating large-scale multi-agent systems in the cloud.

Key Responsibilities

  • Hands-on ownership of building and shipping multi-agent systems (planner/executor, tool-using agents, supervisor patterns, routing, role-based agents) from prototype to production.

  • Write production-quality code for agent orchestration, tool integration, memory/state design, and context management.

  • Lead context engineering strategies for multi-agent coordination: prompt design, state persistence, agent handoffs, grounding, constraints, and safety controls.

  • Hands-on fine-tune and deploy SLM models for production usage: dataset creation, training workflows, evaluation, and inference serving.

  • Build Advanced RAG pipelines end-to-end, including semantic search, embeddings, hybrid retrieval, and cross-encoder reranking.

  • Implement evaluation frameworks for multi-agent systems covering quality, latency, cost, robustness, and failure mode detection.

  • Collaborate with platform and product engineering to ensure solutions are cloud-native, secure, observable, and scalable (monitoring, logging, CI/CD).

  • Optimize for cost and latency via model routing, caching, compression strategies, and inference efficiency improvements.

  • Mentor peers through code reviews, architecture sessions, and hands-on technical leadership.

Required Knowledge & Experience

  • Context engineering for complex multi-agent systems
    (prompt orchestration, tool calling, memory/state design, routing, constraint handling)

  • Fine-tuning of SLMs and delivering them to production
    (training strategies, validation, deployment, monitoring, rollback readiness)

  • Experience with Advanced RAG, semantic search, embeddings, and cross-encoders
    (retrieval tuning, chunking strategies, query rewriting/planning, reranking)

  • Ability to translate ambiguous requirements into concrete architectures, metrics, and deliverables

  • Hands-on inference optimization experience: quantization, distillation, batching, caching, model routing, speculative decoding

  • Experience building retrieval systems at scale using vector DBs and search stacks

  • Comfort working across the full lifecycle: research prototype A/B test production hardening

Preferred Qualifications

  • Familiarity with enterprise constraints: privacy, security, data governance, permissions, auditability

  • Experience designing and running GenAI observability: traces, prompt/versioning, tool call logging, feedback loops

  • Strong ability to implement production-quality systems in Python (and/or adjacent backend languages)

  • Proven experience deploying GenAI/ML systems in cloud environments (AWS/Azure/GCP)

  • Experience with scalable inference and service operations: containers, APIs, observability, reliability practices

  • MS/PhD in CS/ML/NLP/Stats (or equivalent applied experience building production systems)

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