Engineering Village Jobs in Dedham
197 positions found — Page 12
Enterprise Account Executive US
Series C Scale Up - AI Engineering
Salary: $300,000 – $400,000 OTE (50/50)
Location: United States – Remote
We’re partnering with an innovative deep-tech scale-up transforming how engineering teams run complex design/building processes.
Their platform enables engineering and R&D teams to run high-performance development dramatically faster than traditional tools, helping accelerate product innovation across industries like aerospace, automotive, semiconductors, and advanced manufacturing.
They’re now looking for a high-performing Enterprise Account Executive to drive growth across the US market.
What you’ll be doing
• Own the full enterprise sales cycle from prospecting through to closing
• Target large engineering-led organisations (5,000+ employees) across the US
• Sell directly to VPs of Engineering, Simulation Leaders, and R&D teams
• Lead technical evaluations, pilots, and proof-of-concepts with engineering stakeholders
• Build and execute a strategic territory plan to generate and convert pipeline
• Expand and grow relationships within enterprise accounts
What they’re looking for
• 5+ years experience in enterprise technology sales
• Experienced selling complex, strategic AI platforms into large enterprise organisations
• Major focus on new business and a track record of large quota overachievement
• Ability to learn complex new technologies and create value within technical audiences
• Proven track record closing mid/high-six figure enterprise deals
• Experience selling technical software to engineering, R&D, or technical teams
• Experience selling into aerospace, automotive, manufacturing, logistics, defense companies
• Thrives in a high-growth scale-up environment
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Senior Software Engineer – Deployment & Reliability (Digital Pathology / Medical Imaging)
A fast-growing technology company operating in the digital pathology and medical imaging space is seeking a Senior Software Engineer to support the deployment, configuration, and long-term reliability of advanced imaging and AI-driven software systems.
This role sits at the intersection of software deployment, infrastructure engineering, and site reliability, ensuring complex software platforms are successfully installed, integrated with customer IT environments, and maintained at high levels of performance and stability.
You will work closely with engineering, customer support, and monitoring teams to ensure a smooth transition from system deployment to ongoing operational support while contributing to improvements that make deployments more scalable and reliable over time.
Key Responsibilities
Deployment & Configuration
- Lead end-to-end deployments of imaging, AI, and data management software systems at customer environments
- Configure and integrate servers, clusters, and storage systems within hospital or laboratory IT infrastructures
- Work with networking, authentication, storage, and security configurations to ensure successful installations
- Collaborate with field engineering teams during system installation and commissioning
- Develop standardized deployment playbooks, documentation, and validation checklists
System Reliability & Upgrades
- Manage software version rollouts, upgrades, and patching across deployed customer environments
- Work with monitoring and observability teams to track system performance and health
- Troubleshoot complex issues across multi-component systems including imaging software, AI inference pipelines, and storage layers
- Improve automation around upgrades, rollbacks, and maintenance processes
Engineering Collaboration & Continuous Improvement
- Identify recurring deployment or performance challenges and work with R&D teams to design long-term solutions
- Provide structured feedback from field deployments to improve product architecture and deployment workflows
- Validate new deployment tools, frameworks, and configuration approaches prior to wider rollout
- Contribute to improving the scalability and resilience of the overall platform
Customer IT & Cross-Functional Collaboration
- Serve as a technical liaison with customer IT teams regarding networking, infrastructure, security, and data access
- Ensure deployments comply with institutional IT policies and healthcare regulatory requirements
- Collaborate closely with support and monitoring teams to align escalation processes and root cause investigations
- Participate in post-deployment reviews to improve operational processes and reliability
Documentation & Knowledge Sharing
- Maintain detailed installation and configuration documentation
- Develop deployment guides, troubleshooting documentation, and internal knowledge resources
- Support and mentor field teams on standardized deployment and configuration practices
Requirements
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or related discipline
- 5+ years of experience in software deployment, DevOps, infrastructure engineering, or systems engineering
- Strong Linux (Ubuntu) administration and scripting skills
- Experience with containerization and orchestration technologies (Docker, Kubernetes)
- Experience with database technologies such as PostgreSQL or MongoDB
- Familiarity with web service configuration (Nginx or Apache)
- Solid understanding of networking concepts including VPNs, firewalls, and authentication systems
- Ability to troubleshoot complex distributed systems across software, infrastructure, and data layers
- Strong communication and collaboration skills when working with cross-functional teams and customer IT stakeholders
Preferred Experience
- Exposure to medical imaging systems, digital pathology, or healthcare technology environments
- Familiarity with DICOM or PACS systems
- Experience deploying or supporting AI/ML models in production environments
- Experience with observability and monitoring tools (Prometheus, Grafana, ELK)
- Knowledge of regulated environments and healthcare compliance frameworks (HIPAA, GDPR, IVDR)
- Experience supporting hardware and software integrated systems
Why This Role
This position offers the opportunity to work on advanced digital pathology and imaging technologies that support clinical diagnostics and research globally. The role combines hands-on technical deployment with the chance to influence how complex systems are designed, automated, and scaled across a growing global customer base.
Position Summary:
The Project Manager is responsible for overseeing all aspects of assigned projects including planning, budgeting, procurement, scheduling, safety, construction, testing and start-up. Projects will range in size from small equipment or system modifications to major new programs. Projects will include safety improvements, energy conservation, site infrastructure, buildings and production equipment. Project Manager will interface with internal Teams and external contractors, equipment suppliers, engineering firms and regulatory agencies as necessary. Project managers’ key responsibility is the safe delivery of projects on time, on budget while maintaining quality standards.
Essential Functions and Responsibilities:
- Demonstrated understanding and commitment to Environmental, Health and Safety best practices.
- Lead project development process from conceptual design through construction.
- Manage project design utilizing internal and/or external design resources. Challenge design development through the entire process to eliminate scope creep and over conservative design.
- Manage and update project budget through the design and final CAPEX approval process. This includes equipment quotes and sub-contractor scopes of work.
- Manage procurement process by balancing cost, quality and lead time. Ensure procurement of long lead equipment does not impact project schedule.
- Create project schedules in Microsoft Project and update on a periodic basis. Actively manage project schedule to achieve earliest possible completion dates.
- Prepare project specific safety plans that address the unique challenges and risks of each project. Work with the EH&S Team to eliminate project risks.
- Identify project critical attributes, necessary 3rd party inspections and maintain quality control document.
- Ensure that project files are complete, accurate and as-built documentation is provided to Mill.
- Manage internal and external relationships for a successful project outcome.
- Hold Project Team accountable for safety, quality, cost and schedule.
- Provide complete and concise internal updates to project stakeholders.
Education and Experience:
- BS in a technical discipline, Construction Management, Mechanical, Electrical, Chemical Engineering.
- Advanced degree and Professional certifications are desirable.
- 15 years of progressive experience in Construction Management, Engineering or Operations, including employment in a process‐related industrial facility and/or an industrial consulting engineering design firm.
- Strong business process skills, including project management, lean manufacturing or Six Sigma methodologies.
- Must have proven project management skills and competencies.
- Strong project controls skills including budgeting, scheduling and cost reporting.
- Excellent written and verbal communication skills.
- Ability to effectively handle multiple priorities and establish and meet financial and schedule constraints.
- Must be highly motivated and be able to work both independently and as a collaborative team leader and member.
- Demonstrated experience managing teams consisting of internal staff and external contractors, supervising engineering, and construction activities, and preparing turnover documentation.
- Ability to effectively work on projects remotely using remote project management tools and routine site visits.
- Working knowledge of computers and application of software to develop and communicate engineering solutions (including MS Excel, Word, Project, PowerPoint, and Exchange, AutoCAD, others).
Hollingsworth & Vose is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, gender, sexual orientation, gender identity or expression, religion, national origin, marital status, age, disability, veteran status, genetic information, or any other protected status.
Our client is a U.S. based engineered manufacturing organization that designs and produces highly technical, build-to-print components for OEM customers across regulated and high-growth markets. The business is expanding vertically and is seeking a Key Account Sales Executive to lead account management and sales within this space on the east coast.
This is a true customer service role focused on the inside sales development of OEM accounts. The successful hire will maintain long-term relationships that move through engineering validation into recurring production programs. This role is heavily focused on account management and customer service rather than business development.
The role works closely with engineering and operations and is suited to someone comfortable navigating long, technical sales cycles within regulated environments.
Key Responsibilities:
- Serve as the primary commercial point of contact for assigned OEM customers
- Focus on equipment manufacturers within the industrial manufacturing space
- Work closely with internal engineering teams once opportunities enter testing and development
- Align customer outlooks with internal capacity and inventory planning
- Manage complex sales cycles involving technical, quality, and commercial stakeholders
Compensation:
- Competitive base salary with flexibility for the right candidate
- Uncapped incentive plan aligned to opportunity creation and new business development
- Long-term upside tied to conversion of opportunities into recurring production business
Required Skills:
- Minimum of 3 years proven experience within customer service or account management
- Background selling engineered components, materials, or build-to-print products
- Comfortable with long sales cycles, validation processes, and technical buying groups
- Strong account management and customer service skills
- Able to engage credibly with engineering, quality, and operations stakeholders
Are you ready to take the next step in a career that’s both challenging and deeply rewarding? Your skills in the following areas will make you an ideal candidate for this role -
Hardware (console) manufacturing of a FDA regulated medical device and/or an in-depth knowledge of complex medical device injection molding and plastic joining techniques (ultrasonic/RF/laser welding, adhesive bonding.) A background in automation, high mix/low volume, the ability to anticipate roadblocks and provide a high level of team leadership.
Our client, located in the Greater Boston area, is a commercial-stage medical device company transforming transplant care through advanced technology that increases access to viable donor organs. Their innovations have dramatically improved patient survival and recovery—and they’re just getting started.They are hiring a Principal Manufacturing Engineer – NPI to lead new product introduction and scale high-impact technology that supports clinical care, service excellence, and life-saving outcomes. This role is ideal for a strategic, hands-on engineer who thrives in fast-paced, mission-driven environments.
Responsibilities
This position is responsible for, but not limited to, the following:
- Serve as the technical project leader for NPI manufacturing activities, driving the development and commercialization of products.
- Provide strategic oversight of manufacturing readiness for new product introductions, ensuring alignment of engineering resources, project schedules, and cross-functional deliverables.
- Lead cross-functional collaboration with Product Development, Quality, Regulatory, Supply Chain, and Manufacturing Operations to ensure robust, scalable, and compliant processes.
- Coordinate, identify, and implement advanced manufacturing processes to ensure production capacity, efficiency, cost-effectiveness, and adherence to quality standards.
- Define project plans, timelines, and resources needed to support NPI manufacturing programs, ensuring accountability for milestones and deliverables.
- Apply in-depth technical expertise to specify, design, and validate equipment, tooling, fixtures, and automation used in production.
- Drive PFMEA, DFM/DFA, and design transfer activities to establish capable, efficient, and risk-mitigated manufacturing processes.
- Develop manufacturing assembly and test methods that ensure Critical to Quality (CTQ) and Critical to Assembly (CTA) requirements are met.
- Establish and track Key Performance Indicators (KPIs) and process capability metrics using statistical tools such as MSA, GR&R, and SPC.
- Represent externally and internally as a manufacturing subject matter expert (SME), ensuring effective knowledge transfer to production and suppliers.
- Mentor and guide junior engineers and technical staff, fostering a culture of engineering rigor, accountability, and innovation.
- Perform other tasks and duties as assigned/required.
- BS in Mechanical Engineering or related engineering discipline required.
- 10+ years of experience in an FDA/ISO-regulated medical device or medical equipment manufacturing environment.
- Are you ready to take the next step in a career that’s both challenging and deeply rewarding? If you have a background with
- Proven leadership in the selection, qualification, and scale-up of capital assembly equipment and automation.
- Advanced degree preferred.
- Demonstrated expertise in automated assembly methods, robotics, automated inspection, and fixture/tooling design.
- Strong knowledge of injection molding and plastic joining techniques (ultrasonic/RF/laser welding, adhesive/solvent bonding).
- Proficiency in SolidWorks for 3D modeling and design of assembly models, fixtures, and tooling.
- Lean Six Sigma experience and proficiency in statistical data analysis tools (Minitab or equivalent) strongly preferred.
- Strong project management skills, with demonstrated accountability for planning, execution, and delivery of NPI milestones.
- Exceptional leadership and interpersonal skills, with ability to influence and align cross-functional teams.
- Excellent verbal and written communication skills, with the ability to present technical and project information to leadership and stakeholders.
- Proven ability to thrive in a fast-paced, dynamic environment, with adaptability to shifting priorities.
- Ability to work independently with high competency, while also driving and coordinating team-based execution.
- Medical with Health Reimbursement Account through Blue Cross/Blue Shield of MA
- Dental
- Vision
- Healthcare Flexible Spending Account
- Dependent Care Flexible Spending Account
- Short Term Disability
- Long Term Disability
- 401K Plan
- Pet insurance
- Employee Stock Purchase Plan
#ZR
WHAT YOU'LL DO Obtain and maintain required Operator Authorizations– Demonstrate competency and maintain authorization to operate precision equipment according to company standards. Develop and validate CNC programs – Create, edit, and verify CNC programs while configuring complex fixturing for CNC and manual machines to meet production requirements. Configure machine parameters to specification – Set machine origins, work offsets, and tool lengths in accordance with technical specifications to ensure accurate production runs. Execute work to technical specifications – Perform machining operations according to blueprints, material specifications, method sheets, and written work instructions to deliver quality components. Machine components to required tolerances – Produce parts meeting exact dimensional specifications, including squareness, concentricity, parallelism, and surface finish requirements. Collaborate with Engineering on production optimization – Work with Engineering on custom projects and process improvements to enhance manufacturing efficiency and capability. Prepare and validate machine setups – Select, configure, and load tooling; perform first-piece inspections and validate setup accuracy prior to production runs. Perform quality inspections– Conduct in-process and final inspections of components using precision measurement instruments including micrometers and calipers to verify conformance to specifications. Provide technical guidance to production staff – Train and support fellow machinists on setup procedures, best practices, and job-specific requirements. Maintain equipment reliability – Perform routine preventive maintenance and troubleshoot CNC equipment issues to ensure consistent production capability. Document production activities – Record labor transactions and complete required production and quality documentation using company computer systems.
WHAT YOU BRING Minimum of 5 years proven experience as a Machinist in a precision manufacturing environment Strong ability to read blueprints and technical drawings Solid understanding of materials, tooling, and machining best practices High attention to detail and commitment to quality Strong math and problem-solving skills Ability to work independently and as part of a team Safety-first mindset and reliable work habits High school diploma or GED; vocational training or apprenticeship is an asset WHAT SETS YOU APART Experience with CAM programming (e.g., Mastercam, Fusion, Gibbs) Fixture or tooling design experience Background in aerospace, medical, or other tight-tolerance industries
Why Work Here? Because we’re not just another manufacturing plant. We offer: Competitive pay and benefits Clean, climate-controlled work environment Opportunity to work with a range of equipment and a skilled team on best-in-class, innovative products A culture that values craftsmanship, safety, and continuous improvement Strong commitment to work–life balance You’ll love our convenient location just off Route 95 in Sharon, MA, our welcoming team, and our long-standing reputation for quality and innovation. ???? If you’re a dedicated machinist who takes pride in doing things right the first time, apply now! All your information will be kept confidential according to EEO guidelines. Hourly Rate Range: $32.00-$41.00. Final rate will be determined by relevant experience, skills, and qualifications; 15% differential for 2nd shift Trade Compliance Statement Access to our facilities is restricted under the International Traffic in Arms Regulations (ITAR) and/or the Export Administration Regulations (EAR) to U.S. Persons (U.S. Citizens, lawful permanent residents, U.S. Nationals, U.S. refugees, asylees, or temporary residents under amnesty provisions ), and to properly licensed foreign persons. Applicants receiving a conditional offer of employment will be required to provide information to determine whether they are subject to these regulations and, if so, to assess their country of chargeability for export control purposes. Additionally, potential employee names will be screened against the Consolidated Screening List (maintained by the United States government) to determine eligibility to receive controlled technical data. To ensure there is no unexpected delay to your start date with our Company and due to the potential need to obtain an export license, we would like to promptly assess whether such a license is needed to access our facility and/or systems. Such licenses can take several weeks/months to obtain from the U.S. Government. Our Trade Compliance department may reach out to you with a Licensing Assessment form, which we request you kindly complete and return as soon as possible. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. EOE M/F/D/V/VEVRAA Federal Contractor PandoLogic. Keywords: Machinist, Location: Sharon, MA - 02067
Embark on a transformative journey as our Sr. Domain Expert Lead, where intellectual rigor meets technological innovation. As a Sr. Domain Expert Lead, you will blend your advanced analytical skills and domain expertise to provide strategic oversight to our human-in-the-loop and model-in-the-loop data pipelines. You will also provide mentorship and guidance to junior team members. Your responsibilities will ensure data excellence through strategic oversight of high-quality data output, while delivering expert consultation throughout the pipeline and fostering iterative development. This position directly impacts the effectiveness and reliability of our AI solutions by maintaining the highest standards of data quality throughout the development process while building capability within the broader team.
Key job responsibilities
• Serve as a trusted domain advisor to cross-functional teams, providing strategic direction and specialized problem-solving support
• Champion domain knowledge sharing across multiple channels and teams to maintain data quality excellence and standardization
• Drive collaborative efforts with science teams to optimize output of complex data collections in your domain expertise, ensuring data excellence through iterative feedback loops
• Foster team excellence through mentorship and motivation of peers and junior team members
• Make informed decisions on behalf of our customers, ensuring that selected code meets industry standards, best practices, and specific client needs
• Collaborate with AI teams to innovate model-in-the-loop and human-in-the-loop approaches, to ensure the collection of high-quality data, safeguarding data privacy and security for LLM training, and more.
• Stay abreast of the latest developments in how LLMs and GenAI can be applied to your area of expertise to ensure our evaluations remain cutting-edge.
• Develop and write demonstrations to illustrate "what good data looks like" in terms of meeting benchmarks for quality and efficiency
• Provide detailed feedback and explanations for your evaluations, helping to refine and improve the LLM's understanding and output
- 2+ years of data scientist experience
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- 1+ years of guiding and coaching a group of researchers experience
- 1+ years of working with or evaluating AI systems experience
- 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
- Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
- Experience applying theoretical models in an applied environment- Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
- Knowledge of machine learning concepts and their application to reasoning and problem-solving
- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company
- Experience in defining and creating benchmarks for assessing GenAI model performance
- Experience working on multi-team, cross-disciplinary projects
- Experience applying quantitative analysis to solve business problems and making data-driven business decisions
- Experience effectively communicating complex concepts through written and verbal communication
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at , MA, Boston - 136, ,000.00 USD annually
USA, WA, BELLEVUE - 136, ,000.00 USD annually
Title: Senior Technical Support Engineer (Care Delivery)
Employment Type: 6-Month Contract-to-Hire
Start Date: ASAP
Work Model: Hybrid – 3 days onsite required
Eligible Locations: Boston, MA | Raleigh, NC | Dallas, TX | Waterloo, Ontario (Canada)
Compensation: 65-68/hr
About the Role
We are hiring a Senior Technical Support Engineer to support a complex production application environment focused on care delivery workflows. This is a hands-on troubleshooting role for someone who enjoys diagnosing real system problems — not a developer stop-gap role.
You will investigate live production issues, analyze application behavior, read backend code, execute SQL queries, and either resolve problems directly or partner with engineering teams to drive fixes.
The ideal candidate is a career technical support professional who takes ownership of issues and thrives in a high-impact operational environment.
What You’ll Do
- Reproduce and diagnose complex production issues
- Read and interpret object-oriented backend code
- Execute advanced SQL queries to validate system behavior
- Identify root cause and resolve issues when possible
- Escalate bugs to engineering with clear technical documentation
- Support ongoing operational stability of the platform
- Work within ticketing systems to manage incidents
- Improve support tooling and workflows
- Collaborate cross-functionally with engineering and operations teams
Required Qualifications
Technical
- Strong object-oriented programming background in Java, Go, or Python (must be strong in at least one)
- Advanced SQL querying skills
- Application-level troubleshooting experience
- Ability to read and debug code (not just run scripts)
- Experience working within ticketing/incident systems
Preferred Qualifications
- Experience as a Senior/Staff/Principal Technical Support Engineer
- Python scripting or automation experience
- Exposure to AI workflow optimization
- Healthcare or life sciences industry experience (nice to have)
Ideal Candidate Profile
- Senior application support engineer (career support track)
- Comfortable reading production code daily
- Strong ownership mindset — drives problems to resolution
- Not a developer seeking a temporary role
- Enjoys deep troubleshooting and operational stability work
Additional Details
- 6-month contract to hire
- Hybrid (3 days onsite required)
- Candidates must reside in Boston, Raleigh, Dallas, or Waterloo
- Immediate start preferred
Immediate need for a talented USA-Systems Engineer III (IT). This is a 08+ Months Contract opportunity with long-term potential and is located in Waltham, MA (Hybrid). Please review the job description below and contact me ASAP if you are interested.
Job ID:26-06360
Pay Range: $60 - $85/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).
Key Responsibilities:
- Design, develop, deploy, and operate production‑grade AI/ML systems and data pipelines in an agile environment.
- Build, maintain, and optimize CI/CD pipelines using GitHub Actions to enable automated testing and deployment.
- Deploy and operate applications on Kubernetes using GitOps practices (e.g., ArgoCD).
- Develop user‑facing applications through APIs and/or graphical interfaces.
- Deploy predictive models into production environments with a strong focus on reliability, scalability, and observability.
- Build and optimize compute pipelines supporting data processing and model training.
- Collaborate closely with data scientists, computational biologists, and vaccine researchers to translate scientific needs into robust digital solutions.
- Actively participate in agile ceremonies and contribute to continuous improvement of team practices.
- Ensure high standards for code quality, documentation, and knowledge transfer.
- Communicate complex technical concepts clearly to both technical and non‑technical stakeholders.
Key Requirements and Technology Experience:
- Skills-Experience in agile environments, with proven experience deploying and operating applications in production, and Python programming skills
- Experience with GitHub Actions and CI/CD pipeline implementation, Kubernetes-based container orchestration, and GitOps practices (ArgoCD or equivalent). DevOps, automation
- Experience in Production deployment of machine‑learning models and MLOps practices, API and/or web application development, and familiarity with major cloud platforms (AWS, Azure, or GCP)
- Bachelor’s degree or higher in Computer Science, Software Engineering, Data Science, or a related field. Advanced degrees are valued but not required.
- Minimum of 5 years of professional software engineering experience.
- Demonstrated delivery of production‑level systems with measurable impact.
- Strong experience working in agile environments with a customer‑oriented mindset.
- Proven experience deploying and operating applications in production.
- Technical Skills:
- GitHub Actions and CI/CD pipeline implementation.
- Kubernetes‑based container orchestration.
- Git Ops practices (Argo CD or equivalent).
- Strong Python programming skills.
- API and/or web application development.
- Production deployment of machine‑learning models and ML Ops practices.
- Familiarity with major cloud platforms (AWS, Azure, or GCP).
- English: fluent (mandatory). French: nice to have.
- Experience in pharmaceutical, biotechnology, or life‑sciences environments.
- Awareness of drug discovery, vaccine development, or experimental sciences.
- Experience with workflow orchestration tools such as Meta flow.
- Experience in mentoring or technical training.
- Contributions to open‑source or technical communities.
- Experience designing scalable data engineering solutions.
- Manager's Note:-Hybrid working model with a minimum of three days per week on site in Waltham, MA.
- Agile and fast-paced team environment focused on rapid iteration and delivery.
- Strong cross‑functional collaboration across Vaccines R&D, Digital, and CMC.
- Open to candidates willing to relocate at their own expense
- Free parking site
- Possibility of extension, with a gap in work at the end of year (Nov/ Dec) and restart work in January
- English: fluent (mandatory)
- Primary Manager sits in France, local team will be present in EU and US
- Team is building a system of predictive models
- Software Engineer, previous experience moving models in to prediction
Our client is a leading Healthcare Industry and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.
Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
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Company Description
Edensign is building the future of AI-powered visual and spatial engine. Backed by the Harvard Innovation Labs, we’re creating next-generation intelligent systems that merge generative AI, 3D understanding, and spatial intelligence to transform how real-world spaces are visualized, staged, and experienced.
Contact Email:
Role Description
Full-time | Preference for Boston based candidates
We’re looking for a senior technical leader to drive the development of our core AI engine. The ideal candidate has deep experience training large generative models, including diffusion, 3D reconstruction networks, multimodal, VLM architectures. In this role, you will spearhead model training pipelines, R&D experiments, data strategy, and foundational architecture decisions.
This is an opportunity to help build the next generation of spatial AI - from multi-view consistency to 2D-to-3D-to-2D transformation and advanced scene understanding.
Key Responsibilities
- Design, train, and optimize cutting-edge generative models, including diffusion, 3D reconstruction, and multimodal/VLM architectures
- Build and manage scalable training pipelines, data curation workflows, and experiment tracking
- Lead research experiments, benchmarking, and exploration of new modeling techniques
- Architect the evolution of our spatial AI stack—from prototyping new ideas to deploying production-ready models
- Collaborate with engineering and product teams to integrate AI capabilities seamlessly into real-world workflows
- Make strategic decisions around infrastructure, GPU utilization, model efficiency, and training optimization
- Contribute to Edensign’s long-term technical roadmap and innovation direction
Qualifications
- Strong expertise in training generative models (diffusion, GANs, 3D generative models, or scene-reconstruction networks)
- Deep background in Computer Vision, Computer Graphics, 3D geometry, NeRF-like architectures, or multi-view learning
- Familiarity with node-based generative tools (e.g., ComfyUI) is a plus
- Experience with VLMs, multimodal models, grounding, or spatial reasoning is highly valuable
- Proficiency in Python and modern ML frameworks
- Hands-on experience with distributed training, GPU optimization, and large-scale experiment management
- Ability to work independently and lead technical direction in a fast-paced startup environment
- Strong analytical, problem-solving, and system design skills
- Excellent communication and collaboration skills
- Master’s or PhD in Computer Science, AI/ML, Computer Vision, or a related field
- Experience in real estate, architecture, spatial design, or spatial computing is a bonus
- Proficiency in Mandarin is preferred
