Engineering Jobs in Baltimore Md Flexible

The Senior R&D Scientist will lead and contribute to cutting-edge research and development initiatives to drive innovation in products, processes, and technologies within DAP Global Inc. This position involves working on complex scientific challenges, researching new technologies, developing new product formulations, and collaborating with cross-functional teams. The Senior R&D Scientist will play a key role in advancing product development, optimizing manufacturing processes, and ensuring that new technologies meet performance, quality, safety, and regulatory standards. The position requires advanced scientific expertise, project leadership skills, and the ability to mentor junior scientists.

This Senior R&D Scientist position is in the Technology Development team which is responsible for early-stage research and development of technologies new to DAP Global Inc, significant technical advancements within DAP’s core technologies, and/or development of technology platforms or capabilities that extend across multiple product categories.

Responsibilities

• Develop creative technical solutions to Innovation challenges and design and execute the necessary experimental plans for technology development projects or new product development. Independently perform detailed analysis of experimental results. Demonstrate expert formulation capability, advanced problem-solving in complex projects, identification of bottlenecks, and innovative strategies.
• Demonstrate detailed conceptual and operational knowledge of analytical and material characterization technique capabilities, generate high quality data, and perform detailed analysis of the data generated.
• Lead and manage R&D projects from concept through commercialization, ensuring projects are completed on time, within budget, and aligned with company goals.
• Oversee the preparation and maintenance of technical documentation, including research protocols, product specifications, test reports, and regulatory submissions.
• Independently assemble information for and generate highly effective written reports and oral presentations to effectively communicate complex technical results to a wide variety of stakeholders including R&D personnel and cross-functional teams.
• Ensure all R&D activities comply with relevant regulatory requirements, industry standards, and best practices
• Contribute to continuous improvement initiatives by identifying and implementing new techniques, tools, and processes that enhance productivity and innovation.
• Exhibit leadership in laboratory safety practices and participate in all safety and housekeeping initiatives.

Requirements / Qualifications

• A Ph.D. in Chemistry, Chemical Engineering, Materials Science, Polymer Science, or a related field.
• 0–2 years post‑PhD, no prior industry experience required.
• Advanced knowledge of scientific principles, product development, and manufacturing processes.
• Expertise in designing and conducting experiments, data analysis, and interpreting scientific results.
• Proficiency in using general scientific software, data analysis tools, and laboratory equipment.
• Experience in managing large data sets along with implementation and use of Artificial Intelligence agents to solve Chemistry, Materials Science, or Chemical Engineering problems.
• A passion for learning, chemistry, and material sciences.

Benefits

• Medical, Dental and Vision Insurance
• Company Provided Life Insurance
• Paid Time Off (PTO)
• Company-paid short-term and long-term disability
• 401(k) plans
• Employer-funded pension plan
• Tuition Reimbursement

Pay Range

• $95,000 to $125,000 per year.

About DAP

DAP is a market leading manufacturer, innovator and marketer of home repair and construction products including caulks, sealants, spray foam insulation, adhesives, and patch and repair products. DAP is part of RPM International Inc., a $7.3 billion, multinational company with subsidiaries that are world leaders in specialty coatings, sealants, building materials and related services.

You will find DAP products in the hands of professional painters, remodelers, builders, and do-it-yourselfers, and in 60,000 retail outlets, ranging from home centers and mass merchandisers to your local hardware, pro contractor channels and paint stores. DAP's eight manufacturing and distribution facilities in the United States of America and Canada service North America and the world.

At DAP, we hire the best people and give them a collaborative and rewarding work environment that empowers them to succeed! We support associates in continuous professional growth and collaborate on the steps it takes to get to the next level in their careers. Our associates enjoy a comprehensive benefits package including 401(k) with company match, pension, paid parental leave, competitive health insurance rates, employee stock purchase plan, tuition reimbursement, free wellness programs and more! Learn more about DAP’s history, culture and benefits at - On the job since 1865

In-House Opportunity - Assistant GC - Baltimore, MD - Hybrid

• Lead or support all legal aspects of distributed generation renewable projects, from origination through financing, construction, and operation
• Structure, draft, and negotiate complex project agreements, including: Power Purchase Agreements (PPAs), site control and lease documents, Engineering, Procurement & Construction (EPC) contracts, Operations & Maintenance (O&M) agreements, interconnection, and project acquisition documents
• Advise on and implement project finance structures, including construction debt, term debt, tax equity partnerships, and tax credit transfers, with a focus on compliance with the Inflation Reduction Act (IRA), ITC/48E adders, and related Treasury guidance
• Coordinate and perform due diligence for project acquisitions, financings, and portfolio sales, including review of title, permitting, environmental, and interconnection materials
• Provide strategic legal and commercial counsel to senior management on project and corporate matters, balancing legal risk and business objectives
• Manage and triage day-to-day legal document review, including master service agreements (MSAs), vendor contracts, nondisclosure agreements, and other transactional documents; provide comments, risk assessments, and guidance to internal stakeholders
• Develop and refine company form documentation (PPAs, EPCs, NDAs, term sheets, MIPAs, etc.) and maintain internal legal knowledge systems
• Support corporate governance, compliance, and risk management initiatives, including subsidiary management and policy development
• Engage and manage outside counsel efficiently and cost-effectively

Qualifications

• Active bar membership in good standing in at least one U.S. jurisdiction
• J.D. from an accredited law school with excellent academic credentials
• 3–6 years of sophisticated transactional experience in project finance, renewable energy, or infrastructure at a reputable law firm or in-house.
• Experience in solar or distributed generation project development strongly preferred
• Real estate and corporate finance experience a plus
• Familiarity with IRA-related tax credits, safe-harbor and begun-construction concepts, and prevailing wage/apprenticeship requirements desirable
• Ability to prioritize and manage multiple complex transactions simultaneously in a fast-paced, collaborative environment
• Excellent written and verbal communication skills

About the Role

Facility Engineering Services (FES) is seeking an experienced Project Manager to lead and deliver Building Automation System (BAS) and Direct Digital Control (DDC) projects from planning through closeout.

This role requires a mix of organizational leadership, technical understanding, and client communication. The ideal candidate thrives in a fast-paced environment, can manage multiple projects simultaneously, and ensures every installation meets FES standards for quality, schedule, and financial performance.

Key Responsibilities

• Plan and manage BAS/DDC installations, including scheduling, budgeting, and resource allocation for concurrent projects.
• Collaborate with Business Development to understand customer goals, operational challenges, and project expectations.
• Coordinate with the Engineering Department, providing feedback on design intent, constructability, and field implementation.
• Execute projects efficiently, maintaining customer satisfaction and alignment with project scope.
• Generate and manage RFIs to resolve project-specific questions and ensure technical clarity.
• Identify and document change order opportunities for scope additions or modifications.
• Work closely with engineering and field teams to maintain quality control, job pace, manpower allocation, and material readiness.
• Review job cost reports to ensure manpower and budgets are aligned with project cash flow.
• Support monthly billing, forecasting, and project reporting by providing progress updates and field insights.
• Liaise between field and office teams to enhance communication, resolve issues, and maintain project momentum.
• Provide technical and logistical support for field personnel throughout project execution.
• Build and maintain strong customer and subcontractor relationships vital to successful project completion.
• Oversee project closeout and identify future business opportunities with existing clients.
• Maintain positive cash flow and profitability across assigned projects.
• Develop a working knowledge of each project’s contract documents and specifications.
• Occasional travel to job sites may be required.

Qualifications

• Minimum 3+ years of project management experience in Building Automation, DDC, or HVAC controls.
• Proven ability to manage multiple projects simultaneously while maintaining accuracy and attention to detail.
• Strong written and verbal communication and leadership skills.
• Proficiency in reading and interpreting mechanical drawings, controls submittals, and project manuals.
• Familiarity with project scheduling, cost tracking, and forecasting tools.
• Ability to collaborate effectively with engineers, field technicians, subcontractors, and customers.
• Demonstrated success in maintaining budget control, timelines, and customer satisfaction.

Preferred Experience

• Background in Schneider Electric, Delta Controls, or Niagara-based BAS platforms.
• Technical understanding of BACnet, Modbus, or IP-based control networks.
• Experience working in healthcare, commercial, or institutional environments.
• PMP or equivalent project management certification (a plus).

Compensation & Benefits

• Competitive salary commensurate with experience.
• Health & Dental Insurance – CareFirst Blue Advantage (FES contributes 50%; individual or family plan).
• 401(k) with company match up to 4% after 6 months.
• Vision Insurance – employee paid.
• Short- & Long-Term Disability Insurance – employee paid.
• Paid Time Off (PTO) and paid holidays (New Year’s Day, Memorial Day, Independence Day, Labor Day, Thanksgiving, and Christmas).

Why Join FES

• Join a technically skilled, mission-driven team that values integrity and long-term relationships.
• Manage projects that impact critical environments such as hospitals, research labs, and major government facilities.
• Enjoy the stability of a well-established company with opportunities for professional growth and leadership development.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Title: AI Research Scientist

Location: San Jose, CA

Responsibilities:

• Design, execute, and analyze machine learning experiments, establishing strong baselines and selecting appropriate evaluation metrics.
• Stay up to date with the latest AI research; identify, adapt, and validate novel techniques for company-specific use cases.
• Define rigorous evaluation protocols, including offline metrics, user studies, and adversarial (red team) testing to ensure statistical soundness.
• Specify data and annotation requirements; develop annotation guidelines and oversee quality control processes.
• Collaborate closely with domain experts, product managers, and engineering teams to refine problem statements and operational constraints.
• Develop reusable research assets such as datasets, modular code components, evaluation suites, and comprehensive documentation.
• Work alongside ML Engineers to optimize training and inference pipelines, ensuring seamless integration into production systems.
• Contribute to academic publications and represent the company in research communities, as needed.

Educational Qualifications:

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred.
• Candidates with a master’s degree and exceptional research or industry experience will also be considered.

Industry Experience:

• 3–5 years of experience in AI/ML research roles, ideally in applied or product-focused environments.
• Demonstrated success in delivering research-driven solutions that have been deployed in production.
• Experience collaborating in cross-functional teams across research, engineering, and product.
• Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR) are a plus.

Technical Skills:

• Strong foundational knowledge in machine learning and deep learning algorithms.
• Hands-on experience with PEFT/LoRA, adapters, fine-tuning techniques, and RLHF/RLAIF (e.g., PPO, DPO, GRPO).
• Ability to read, implement, and adapt state-of-the-art research papers to real-world use cases.
• Proficiency in hypothesis-driven experimentation, ablation studies, and statistically sound evaluations.
• Advanced programming skills in Python (preferred), C++, or Java.
• Experience with deep learning frameworks such as PyTorch, Hugging Face, NumPy, etc.
• Strong mathematical foundations in probability, linear algebra, and calculus.
• Domain expertise in one or more areas: natural language processing (NLP), symbolic reasoning, speech processing, etc.
• Ability to translate research insights into roadmaps, technical specifications, and product improvements.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Title: Machine Learning Engineer

Location: San Jose, CA

Responsibilities:

• Productize and optimize models from Research into reliable, performant, and cost-efficient services with clear SLOs (latency, availability, cost).
• Scale training across nodes/GPUs (DDP/FSDP/ZeRO, pipeline/tensor parallelism) and own throughput/time-to-train using profiling and optimization.
• Implement model-efficiency techniques (quantization, distillation, pruning, KV-cache, Flash Attention) for training and inference without materially degrading quality.
• Build and maintain model-serving systems (vLLM/Triton/TGI/ONNX/TensorRT/AITemplate) with batching, streaming, caching, and memory management.
• Integrate with vector/feature stores and data pipelines (FAISS/Milvus/Pinecone/pgvector; Parquet/Delta) as needed for production.
• Define and track performance and cost KPIs; run continuous improvement loops and capacity planning.
• Partner with ML Ops on CI/CD, telemetry/observability, model registries; partner with Scientists on reproducible handoffs and evaluations.

Educational Qualifications:

• Bachelors in computer science, Electrical/Computer Engineering, or a related field required; Master’s preferred (or equivalent industry experience).
• Strong systems/ML engineering with exposure to distributed training and inference optimization.

Industry Experience:

• 3–5 years in ML/AI engineering roles owning training and/or serving in production at scale.
• Demonstrated success delivering high-throughput, low-latency ML services with reliability and cost improvements.
• Experience collaborating across Research, Platform/Infra, Data, and Product functions.

Technical Skills:

• Familiarity with deep learning frameworks: PyTorch (primary), TensorFlow.
• Exposure to large model training techniques (DDP, FSDP, ZeRO, pipeline/tensor parallelism); distributed training experience a plus
• Optimization: experience profiling and optimizing code execution and model inference: (PTQ/QAT/AWQ/GPTQ), pruning, distillation, KV-cache optimization, Flash Attention
• Scalable serving: autoscaling, load balancing, streaming, batching, caching; collaboration with platform engineers.
• Data & storage: SQL/NoSQL, vector stores (FAISS/Milvus/Pinecone/pgvector), Parquet/Delta, object stores.
• Write performant, maintainable code
• Understanding of the full ML lifecycle: data collection, model training, deployment, inference, optimization, and evaluation.

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Sr. Data Engineer (Hybrid)

Chicago, IL

The American Medical Association (AMA) is the nation's largest professional Association of physicians and a non-profit organization. We are a unifying voice and powerful ally for America's physicians, the patients they care for, and the promise of a healthier nation. To be part of the AMA is to be part of our Mission to promote the art and science of medicine and the betterment of public health.

At AMA, our mission to improve the health of the nation starts with our people. We foster an inclusive, people-first culture where every employee is empowered to perform at their best. Together, we advance meaningful change in health care and the communities we serve.

We encourage and support professional development for our employees, and we are dedicated to social responsibility. We invite you to learn more about us and we look forward to getting to know you.

We have an opportunity at our corporate offices in Chicago for a Sr. Data Engineer (Hybrid) on our Information Technology team. This is a hybrid position reporting into our Chicago, IL office, requiring 3 days a week in the office.

As a Sr. Data Engineer, you will play a key role in implementing
and maintaining AMA's enterprise data platform to support analytics,
interoperability, and responsible AI adoption. This role partners closely with
platform engineering, data governance, data science, IT security, and business
stakeholders to deliver highquality, reliable, and secure data products. This
role contributes to AMA's modern lakehouse architecture, optimizing data
operations, and embedding governance and quality standards into engineering
workflows. This role serves as a
senior technical contributor within the team-providing mentorship to junior
engineers and implementing engineering best practices within the data platform function,
in alignment with architectural direction set by leadership.

RESPONSIBILITIES:

Data Engineering & AI Enablement

• Build and maintain scalable data pipelines and
  ETL/ELT workflows supporting analytics, operational reporting, and AI/ML use
  cases.
• Implement best practice patterns for ingestion,
  transformation, modeling, and orchestration within a modern lakehouse
  environment (e.g., Databricks, Delta Lake, Azure Data Lake).
• Develop highperformance
  data models and curated datasets with strong attention to quality, usability,
  and interoperability; create reusable engineering components and automation.
• Collaborate with the Architecture Team, the Data
  Platform Lead, and federated IT teams to optimize storage, compute, and
  architectural patterns for performance and costefficiency.
• Build model-ready data sets and feature
  pipelines to support AI/ ML use cases; serve as a technical coordination point
  supporting business units' AI-related infrastructure needs.
• Collaborate with data scientists and AI Working
  Group to operationalize models responsibly and maintain ongoing monitoring
  signals.

Governance, Quality & Compliance

• Embed data governance, metadata standards,
  lineage tracking, and quality controls directly into engineering workflows;
  ensure technical implementation and alignment within engineering workflows.
• Work with the Data Governance Lead and business
  stakeholders to operationalize stewardship, classification, validation,
  retention, and access standards.
• Implement privacybydesign and securitybydesign
  principles, ensuring compliance with internal policies and regulatory
  obligations.
• Maintain documentation for pipelines, datasets,
  and transformations to support transparency and audit requirements.

Platform Reliability, Observability & Optimization

• Monitor and troubleshoot pipeline failures,
  performance bottlenecks, data anomalies, and platformlevel issues.
• Implement observability tooling, alerts,
  logging, and dashboards to ensure endtoend reliability.
• Support cost governance by optimizing compute
  resources, refining job schedules, and advising on efficient architecture.
• Collaborate with the Data Platform Lead on
  scaling, configuration management, CI/CD pipelines, and environment management.
• Collaborate with business units to understand
  data needs, translate them into engineering requirements, and deliver
  fit-for-purpose data solutions; share and apply best practices and emerging
  technologies within assigned initiatives.
• Work with IT Security and Legal/ Compliance to
  ensure platform and datasets meet risk and regulatory standards.
  

Staff Management

• Lead, mentor, and provide management oversight
  for staff.
• Responsible for setting objectives, evaluating
  employee performance, and fostering a collaborative team environment.
• Responsible for developing staff knowledge and
  skills to support career development.

May include other responsibilities as assigned

REQUIREMENTS:

1. Bachelor's degree in Computer Science, Engineering, Information Systems, or related field preferred or equivalent work experience and HS diploma/equivalent education required.
2. 5+ years of experience in data engineering within cloud environments
3. Experience in people management preferred.
4. Demonstrated hands-on experience with modern data platforms (Databricks preferred).
5. Proficiency in Python, SQL, and data
   transformation frameworks.
6. Experience designing and operationalizing
   ETL/ELT pipelines, orchestration workflows (Airflow, Databricks Workflows), and
   CI/CD processes.
7. Solid understanding of data modeling,
   structured/unstructured data patterns, and schema design.
8. Experience implementing governance and quality
   controls: metadata, lineage, validation, stewardship workflows.
9. Working knowledge of cloud architecture, IAM,
   networking, and security best practices.
10. Demonstrated ability to collaborate across
    technical and business teams.
11. Exposure to AI/ML engineering concepts, feature
    stores, model monitoring, or MLOps patterns.
12. Experience with infrastructureascode
    (Terraform, CloudFormation) or DevOps tooling.

The American Medical Association is located at 330 N. Wabash Avenue, Chicago, IL 60611 and is convenient to all public transportation in Chicago.

This role is an exempt position, and the salary range for this position is $115,523.42-$150,972.44. This is the lowest to highest salary we believe we would pay for this role at the time of this posting. An employee's pay within the salary range will be determined by a variety of factors including but not limited to business consideration and geographical location, as well as candidate qualifications, such as skills, education, and experience. Employees are also eligible to participate in an incentive plan. To learn more about the American Medical Association's benefits offerings, please click here.

We are an equal opportunity employer, committed to diversity in our workforce. All qualified applicants will receive consideration for employment. As an EOE/AA employer, the American Medical Association will not discriminate in its employment practices due to an applicant's race, color, religion, sex, age, national origin, sexual orientation, gender identity and veteran or disability status.

THE AMA IS COMMITTED TO IMPROVING THE HEALTH OF THE NATION

Power Distribution and Make Ready Designer

Overhead Utility Pole Design • Joint-Use Engineering • NESC-Compliant Make-Ready Work

Location: Kalamazoo, MI / Remote (U.S.)

Are you an experienced Power Distribution Designer or Make-Ready Designer looking to support meaningful utility engineering projects? Join a team that values accuracy, collaboration, and long-term professional growth.

ABOUT THIS OPPORTUNITY
We are seeking skilled Make-Ready Designers (primary focus) and Power Distribution Designers to support engineering programs for major electric and telecom utilities. Ideal candidates bring demonstrated experience in overhead utility pole design, NESC application, clearance assessment, pole loading analysis, and construction package development. Useful design platforms include DDS, Katapult, O-Calc, GIS, MicroStation, AutoCAD, or client-specific drafting systems.

In this role, you will review field/walkout data, evaluate existing attachment conditions, model pole loading, determine make-ready requirements, and prepare accurate construction-ready deliverables. Applicants without utility pole design or distribution engineering experience will not be considered.

Note: This position is remote, but new hires must attend a 2-week paid, in-person orientation at our Perrysburg, OH headquarters.

WHAT YOU WILL DO
• Execute overhead distribution and make-ready design work orders while meeting quality, time, and budget expectations
• Apply established engineering design standards, NESC requirements, and internal processes
• Perform end-to-end make-ready, joint-use, and/or general distribution design
• Conduct permitting and easement research (pole ownership, ROW, property rights, approvals)
• Collaborate with team members to resolve design challenges and ensure accurate deliverables
• Use design software such as AutoCAD, MicroStation, DDS, PoleForeman, O-Calc, Katapult, or client systems
• Perform quality control reviews when required
• Support additional duties as assigned

TOP COMPETENCIES & SKILLS
Make-Ready Engineering, Joint-Use Design, Pole Loading Analysis, Utility Pole Design, Overhead Distribution Design, NESC Compliance, Utility Engineering, Pole Attachments, Make-Ready Construction, Aerial Design, Utility Coordination, Right-of-Way Permitting, Pole Replacement Design, Make-Ready Estimates, Field Survey Interpretation, CAD for Utility Design, GIS for Utility Design, Electrical Distribution Design, Utility Construction Standards, Telecommunications Make-Ready

WHAT WE’RE LOOKING FOR
• High school diploma or equivalent required; an associate degree or higher in engineering, drafting, or a related field is preferred
• Minimum 2 years of experience in make-ready engineering, joint-use design, or electric power distribution design (3+ years strongly preferred)
• Proven experience in utility pole design, including NESC application, clearance analysis, pole loading concepts, and preparation of construction-ready design packages
• Proficiency with CAD or MicroStation; experience with DDS, Katapult, O-Calc, or similar utility design platforms is strongly preferred
• Solid understanding of power distribution construction practices, with the ability to learn utility-specific proprietary systems efficiently
• Must hold a valid driver’s license, maintain active auto insurance, and pass all required background, drug, and MVR screenings
• Authorization to work in the United States is required
• Willingness to travel occasionally, including minimal overnight travel when project needs require
• Ability to work a standard Monday–Friday schedule aligned to Eastern Time, with Central/Mountain/Pacific adjustments as appropriate

PHYSICAL REQUIREMENTS
• Ability to work for extended periods using a computer keyboard, monitor, and telephone
• Ability to prepare and analyze data, review detailed information, and work with design tools requiring close vision, distance vision, color vision, peripheral vision, depth perception, and focus adjustment
• Ability to communicate effectively through oral and written channels

ABOUT SIGMA TECHNOLOGIES
Sigma Technologies is a growing engineering and design firm with 500+ team members across 30+ states. For over 25 years, we’ve supported major power and telecommunications utilities with work that directly impacts communities nationwide. Our core values — Safety, Honesty, Truth, and Decency — shape how we work and who we hire. We are TeamSigma™.

*To learn more about working at Sigma, view our video and career page.
* If you do not have Power Design experience, please refer to our other open positions: *While Designer openings are listed in multiple locations, you only need to apply to one, as they are remote roles.

WHAT WE OFFER
We want our Associates to stay healthy, happy, and secure. We offer a positive work environment with supportive coworkers, managers, and leaders, plus:

• No-cost monthly healthcare plan option for employees
• Competitive pay
• Medical, dental, and vision plans with up to 80% of the premium sponsored by Sigma
• 401(k) plan with matching contributions up to 5% of salary
• Paid holidays, vacation, and sick time
• Education and professional licensing assistance programs

This job advertisement is intended to outline the primary responsibilities and requirements of the role. It is not all-inclusive. Additional duties may be assigned as needed. This ad does not constitute an employment agreement, and job requirements may change based on organizational needs.

Pay is commensurate with experience and education. Sigma is an equal opportunity employer and does not discriminate based on race, color, gender, sexual preference, gender identity, age, religion, national origin, disability, genetic information, veteran/military status, or any classification protected by law.

PM22
#Remote

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