1417 Frontend Engineer Intern jobs in Boston,MA

Bachelor of Science Degree in Mechanical Engineering
13+ years of experience in mechanical design
Proficient in the use of industry standard mechanical engineering design tools (SolidWorks, AutoCad, Creo, Ansys, ICEPAK, Mechanica etc.)
Candidate must be able to work with limited/general direction.
Proficiency with MS Office software applications.
Must hold or be able to obtain U.S. DoD SECRET security clearance.
Must be a U.S. citizen.
Applicants selected may be subject to a government security investigation and must meet eligibility requirements for access to classified information.
Ability to travel up to 25%, both international and domestic.
Able to lead team of up to 5 mechanical engineers to develop and document mechanical components and assemblies.
Proficient at understanding and driving requirements traceability in a model-based systems engineering environment.
Strong Earned Value (EV) skills, including Cost Account Manager (CAM) activities.
As a condition of employment, candidates will be required to pass a pre-employment drug screen.

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Senior Research Engineer – Lithium-ion Battery and Data Center Safety

Norwood, MA 02062

~ 34 min OnsiteFlexible ScheduleEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

A Master's degree with 3 years of experience, or a PhD degree in Mechanical, Chemical Engineering, Fire Protection Engineering, or a closely related field.
Strong understanding of existing and emerging battery technologies, heat transfer, fluid mechanics, and combustion.
Hands-on experience with battery fire testing and associated experimental approaches in fire science.

SmartExplore AI is experimental.

New, Posted 5 hours ago

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Political Affairs Internship Part-Time in Worldwide - Remote Worldwide - Political Team

THE BORGEN PROJECT

Boston, MA 02115

New, Posted 16 hours ago

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Principal Quant Developer (MLOps)

Fidelity Investments

Boston, MA 02210

OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

A Bachelor's degree in Computer Science, Financial Engineering, Information Technology, Information Systems, Mathematics, Physics, Statistics, Engineering, or a closely related field
Six (6) years of experience as a Senior Quant Developer or similar role
Alternatively, a Master's degree (or equivalent foreign education) in the same fields
Four (4) years of experience as a Lead Quantitative Development or similar role
This experience should include building high-quality, robust, and efficient systems and solutions for financial investment decisions, utilizing R, Python, PL/SQL databases, and quantitative techniques.
Expert in Python with experience across the development stack (full stack)
Exposure to object-oriented programming (OOP) and design patterns
Experience in at least one unit testing framework and understanding of test-driven development (TDD) concepts and methodologies
A commitment to writing clean, maintainable, and efficient code, with best practices for long-term maintainability
Skilled in a range of database technologies: SQL (Oracle & Snowflake), NoSQL, Graph
Skilled in batch and API technologies: such as batch scheduling (using Autosys and Airflow) and creating REST APIs (using FAST API and Flask)
Proven ability to construct and manage robust data pipelines and event-driven workflows
Proven expertise in system design and cloud architecture on AWS, leveraging resources including Lambda, S3, EKS, and EC2
Experience in containerization with Docker and orchestration with Kubernetes
Implement CI/CD pipelines (using Linux and Jenkins), code versioning using GitHub
Experience in Infrastructure as Code methodologies for consistent and scalable infrastructure management
Experience operationalizing machine learning models on AWS, including services such as SageMaker (training, deployment, model registry, monitoring) and Bedrock (foundation model access and fine-tuning)
Operationalizing AI/ML pipelines using modern MLOps principles, including production lifecycle management of AI models
Familiarity with experiment tracking and model versioning tools (e.g., MLflow)
Identifying and deploying applied ML solutions relevant to quantitative investing: time series forecasting, anomaly detection, NLP, and predictive analytics
Awareness of responsible AI governance practices
Demonstrated enthusiasm for contributing to all facets of our AI ecosystem, from application development to MLOps/LLMOps infrastructure, with a versatile, full-stack engineering mindset
Demonstrated knowledge of mathematics, statistics, and quantitative finance
Deep understanding of quantitative techniques and methods, statistics and econometrics including probability, linear regression and time series data analysis
Analyze and design systems to implement quantitative models for systematic financial investments using R and Python, including time series forecasting models, multi-asset class portfolio construction strategies, risk management tools, alpha research, and simulation-based algorithms
Domain knowledge in either equities, fixed income or alternative asset classes

SmartExplore AI is experimental.

New, Posted 1 day ago

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Sales Engineer (Power Supply Expert)

Sager Electronics

Andover, MA 01810

$71,760-$119,275/yr

~ 33 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in engineering, (or equivalent experience)
Minimum 2+ years of experience selling power solutions
Experience supporting customers through the power supply selection process
To perform the position, you must be a U.S. Person as defined by ITAR. ITAR defines a U.S. Person as a U.S. Citizen, U.S. Permanent Resident (i.e., ‘Green Card Holder'), Political Asylee, or Refugee
Visa sponsorship is not available for this role
Only candidates authorized to work in the United States will be considered

SmartExplore AI is experimental.

New, Posted 17 hours ago

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Field Service Technician - Boston, MA Metro Area

Top Tempo Technical

Boston, MA 02115

$30/hr

Requires TravelUrgently Hiring

Automotive/bus experience
2+ years' experience of directly related work.
General knowledge of truck, bus, automotive and/or other vehicle systems.
A smart phone and a computer that has windows 11 or newer is required.
Travel is required to various jobsites in the Boston metro area: Quincy, Lynn, Hyde Park, South Boston and Cambridge, MA.

SmartExplore AI is experimental.