Engineering Jobs in Hull Massachusetts Remote

A

AI Ethics Specialist, Standards, Measurement & Governance

✦ New

Salary not disclosed

Boston, MA 5 hours ago

AI Ethics Specialist, Standards, Measurement & Governance | Just Horizons Alliance

Join us to define the standards that hold AI systems accountable.

The situation

Just Horizons Alliance is an 18-year-old applied research lab focused on ethics and technology. Our current focus is the AI Ethics Index, a measurement framework for evaluating AI systems on ethics, safety, and societal impact.

We currently have a first version of the framework that is validated and in use. Now we're investing in the next phase: sharper indicator definitions, stronger construct validity, governance processes that hold up to external scrutiny, and measurements that work across domains from education to healthcare to finance.

This is the first dedicated hire to drive the standards and governance layer end-to-end.

What you'll actually do

Months 1–3: Learn the system

Work through the existing L4 indicator library with Sophia. Understand where definitions need tightening, which constructs require the most interpretation, and how the evaluation engine turns indicators into measurements. Start giving developers working definitions they can implement.

Months 4–6: Build the governance infrastructure

Lead the development of a versioning and change control process for the Index. Define disclosure policies. Formalize internal ethical oversight processes. Collaborate with domain experts in education, healthcare, and finance to validate indicators across contexts.

Months 7–12: Drive the standard

Be the person who gives definitive answers on construct interpretation. Manage the L4 indicator framework as a living, governed document. Represent the methodological rigor of the Index in external conversations with regulators, academics, and the organizations being evaluated.

Why this role is hard

You're working at the frontier of a field that does not have settled answers. There is no ISO standard for AI ethics measurement. The frameworks you're building will be contested by academics, challenged by the AI companies being evaluated, and scrutinized by regulators. You need to make defensible decisions under genuine uncertainty, document your reasoning clearly, and communicate it to people who will disagree.

The daily work involves uncomfortable specifics. What does "sexually explicit content" mean when an LLM is used in a youth education context—a tutoring app, a storytelling tool, an educational assistant? Where exactly is the boundary? You have to define it in terms a developer can implement and an auditor can verify.

The pace is weeks, not semesters.

You're probably the right person if

You've taken an abstract ethical principle and turned it into something a developer could build or a compliance team could audit

You understand NIST AI RMF or the EU AI Act at a working level — not awareness, but enough to argue about the details

You have external credibility in the field: publications, recognised work, advisory roles, or a title that carries weight

KYC, compliance, or governance experience is part of your background alongside ethics expertise

You work at the pace of decisions, not the pace of studies

You can hold a substantive conversation with a software developer about API behaviour and with a philosopher about construct validity — on the same day

You can read an inter-rater reliability methodology and understand what it means for your indicator definitions

You're probably not the right fit if

Your background is purely academic ethics — you've written and published but never operationalized anything

You need months of research before committing to a position on a specific indicator definition

You're primarily a communicator or writer about AI ethics rather than a practitioner of governance

You're based on the West Coast US or don't work in East Coast US or Western Europe time zones

You see "working with developers" as someone else's job

Hard Skills

These are the domain and technical capabilities you need going in — or need to be able to build up fast. You don't need to be an engineer. But you do need to learn quickly, including using AI tools to close knowledge gaps on the fly.

NIST AI RMF and EU AI Act — working-level knowledge, not awareness. Enough to argue about the details and identify where a specific AI system fails to comply
Construct operationalization — demonstrated experience translating an abstract ethical principle into a bounded, testable indicator that someone else can use
Governance documentation — writing versioning policies, change control frameworks, and disclosure protocols that other people actually use day to day
AI evaluation methodology — familiarity with how AI systems are benchmarked, where measurement goes wrong, and what validity means in a scientific context
Basic technical literacy — able to read API documentation, understand what a model endpoint does.
Statistical reliability concepts — inter-rater reliability, aggregation methods, and what it means for a measurement to be valid versus merely reliable
KYC or compliance frameworks — experience building governance processes that have real enforcement teeth, not just principles documents that no one is held to

What you get

The role: Work directly with Sophia Zitman (AIEI Team Lead) as the person who owns the methodological integrity of the AI Ethics Index. Direct daily collaboration with the development team.

The comp: $110,000

The team: Small, split between ethicists and engineers. Interview panel: Janet Kang and Sophia Zitman.

The environment: Boston-based non-profit (501(c)(3)). East Coast US or Western Europe time zones strongly preferred. Deliberate, rigorous culture.

The upside: You'll have built the governance foundation of what may become the globally referenced standard for AI ethics measurement. That is a genuinely consequential body of work.

Not Specified

X

Cloud Information Systems Security Engineer 2

✦ New

🏢 Xcelligen Inc.

Salary not disclosed

Boston, MA 5 hours ago

We are seeking an experienced Cloud Information Systems Security Engineer to design, implement, and manage security solutions for cloud environments. The selected candidate will lead security engineering efforts, identify risks, and develop mitigation plans to ensure compliance with DoD and federal cybersecurity standards. This role will primarily support CLIN 5 and is ideal for professionals with hands-on experience in cloud security, InfoSec engineering, and risk management within federal programs.

Security Clearance: Secret Clearance Required

Work Authorization: U.S. Citizens ONLY due to legal or government contract requirements

Key Responsibilities:

Develop, implement, and manage information security engineering designs and solutions for cloud environments.
Identify system security threats, vulnerabilities, and risks; develop and implement mitigation plans.
Architect, design, and evaluate security-focused tools, services, and processes.
Oversee assessment and mitigation of system security risks throughout the program life cycle.
Validate system security requirements and perform security analyses to ensure compliance.
Implement security designs across hardware, software, data, and operational procedures.
Support continuous monitoring and improvement of cloud security posture.
Collaborate with engineering, DevOps, and operations teams to enhance security automation and resilience.
Maintain technical documentation, runbooks, and compliance records for audit and review purposes.
Stay current on emerging threats, cybersecurity standards, and federal security mandates.

Required Qualifications:

Bachelor’s degree in computer science, Information Technology, Cybersecurity, or related field.
Minimum of 4 years of experience in information security engineering or cloud security roles.
Strong knowledge of cloud platforms (AWS, Azure, or Google Cloud) and security best practices.
Experience with system security designs, threat modeling, risk assessment, and mitigation strategies.
Understanding of hardware, software, and network security principles in cloud environments.
Experience working in federal or DoD programs is preferred.
Strong analytical, problem-solving, and communication skills.
Ability to work effectively in a team-oriented, security-focused environment.

Preferred Qualifications:

Hands-on experience with DevSecOps practices and security automation.
Familiarity with Infrastructure-as-Code security controls and compliance tools.
Knowledge of virtualization platforms (VMware, Hyper-V) and secure cloud configurations.

Certifications:

IAT Level II certification required.
Must obtain one or more Cloud Certifications within 6 months of hire (AWS, Azure, or Google Cloud preferred).

Not Specified

T

Mobile Application Developer

✦ New

🏢 Tech Consulting

Salary not disclosed

Boston, MA 5 hours ago

Hello,

I hope you are dong well, Tech-Consulting is looking for Dynamic Entry Level Mobile Developer in Atlanta, GA. We are scouting talent in though US. Gel Along!

Job Title: Junior Mobile Developer

Experience: 0–2 years

Location: Atlanta, GA

Employment Type: Full-time

Job Overview

We are looking for a motivated Junior Mobile Developer to join our development team. You will assist in building, testing, and maintaining mobile applications for Android and/or iOS platforms. This role is ideal for someone who is passionate about mobile technologies and eager to learn from experienced developers.

Key Responsibilities

Assist in developing and maintaining mobile applications.

Write clean, efficient, and maintainable code.

Collaborate with UI/UX designers, backend developers, and product teams.

Debug and fix issues in existing applications.

Participate in code reviews and team meetings.

Test applications to ensure performance, quality, and responsiveness.

Stay updated with the latest mobile development trends and tools.

Required Skills

Basic knowledge of mobile development frameworks such as:

Flutter

React Native

Android Studio

Xcode

Programming knowledge in:

Dart

Java

Kotlin

Swift

JavaScript

Understanding of REST APIs and JSON.

Basic knowledge of Git version control (e.g., GitHub).

Familiarity with mobile UI/UX principles.

Good problem-solving and communication skills.

Qualifications

Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent experience).

Internship or project experience in mobile app development is a plus.

Seniority Level
Entry level
Industry
IT Services and IT Consulting
Employment Type
Full-time
Job Functions
Consulting
Skills
Mobile Technology
Computer Science
iOS
Android Development
Programming
Java
Mobile Applications
JavaScript
React Native
Mobile Application Development
Android
Problem Solving

Not Specified

S

Senior Developer — AI Evaluation & Cloud Infrastructure

✦ New

Salary not disclosed

Boston, MA 5 hours ago

Senior Developer, AI Evaluation & Cloud Infrastructure | Just Horizons Alliance

Join us to build the technical foundation for AI accountability.

The Role

Just Horizons Alliance is an 18-year-old applied research lab focused on ethics and technology. Our current focus is the AI Ethics Index, a measurement framework for evaluating AI systems on ethics, safety, and societal impact.

We need a senior engineer to own the technical infrastructure end-to-end: learn what exists, close critical gaps, and build something that lasts.

The evaluation methodology is validated and in use. We're now at the stage where the systems need to mature alongside the research. This is the first dedicated infrastructure hire for this work, and you'll shape how it scales.

What You’ll Do

Months 1–3: Learn the System

Map the current architecture with Sophia Zitman (AIEI Team Lead). Understand the evaluation methodology, the data flows, and the infrastructure that supports them. Identify what needs to evolve for multi-domain benchmarking—reproducibility, security posture, test coverage, deployment pipeline. Begin implementing the highest-priority improvements.

Months 4–6: Build for Scale

Architect the infrastructure to support the next phase of the Index. CI/CD that maintains stability as the system grows. IAM and secret management built for a production environment. Experiment tracking that makes every evaluation run auditable. Documentation that enables the research team to work independently.

Months 7–12: Expand

Multi-domain benchmarking across education, healthcare, finance, and other sectors. Reproducibility standards that meet external scientific scrutiny. A system the research team can extend without engineering support for every change. At this point, the infrastructure should be stable enough that you're focused on capability, not maintenance.

Why This Role Is Difficult

This is infrastructure for a scientific standard, not a product feature.

Correctness and delivery both matter. A bug in the evaluation engine doesn't break a feature, instead it invalidates a measurement. A flawed pipeline doesn't slow things down, it compromises the credibility of the research. At the same time, methodology that never runs in production has no impact. The role requires both rigor and momentum.

You're translating between disciplines. Your stakeholders are researchers, ethicists, and governance specialists. You'll need to take concepts like "operationalizing an ethical construct" and turn them into data models and pipelines. This is a translation problem as much as an engineering problem.

The work is novel. There's no existing system to reference. The AI Ethics Index is defining what rigorous AI evaluation looks like. You'll be making architectural decisions in areas where best practices don't yet exist.

You'll have full ownership. This is not a role where you're executing someone else's technical vision. You're setting the direction. That means autonomy, but it also means accountability.

You're probably the right person if

You've built evaluation systems or data pipelines that other people depended on for correctness, not just uptime

You're comfortable with GCP and have deployed containerized workloads in a real production context

You've worked with LLM APIs and understand their reliability and reproducibility characteristics

You can read a paper about measurement methodology and turn it into a working data structure

You build for durability. Your code is still running 18 months later because you thought about the next person

You've worked somewhere between 5 and 50 people and you're comfortable being the person who figures things out without a playbook

You find working on AI ethics infrastructure more interesting than building another e-commerce checkout flow

You're probably not the right fit if

Enterprise environments make up most of your experience. This is not a large-team context

You need clearly defined requirements before you can start. The requirements here evolve through conversation with ethicists

You're based on the West Coast US or expect West Coast US working hours

You mainly build user-facing APIs and features — this is systems and infrastructure work

You're looking for a high-growth startup where shipping speed is everything. This is a scientific organization. Correctness is everything.

Hard Skills

These are the technical capabilities you need going in — or need to be able to build up fast using an AI coding agent. We're not looking for someone who ticks every box. We're looking for someone who closes gaps quickly and knows how to learn.

Python — strong enough to design systems architecture and reason about failure modes, even if you work with AI assistance for implementation details
Google Cloud Platform — specifically Cloud Run, IAM design, secret management, and containerized workload deployment in a real production context
API and model documentation — able to read, write, and navigate API specs and model documentation fluently; you know how to figure out how a system behaves from its documentation without needing someone to walk you through it
Structured step-by-step reasoning — when you hit a complex problem, you decompose it immediately and visibly into logical steps; you don't disappear into your head and come back with an answer, you think out loud and in sequence, which makes collaboration with the ethics and research team possible
LLM API integration — understanding the reliability, reproducibility, and failure characteristics of external model endpoints
Data pipeline architecture — building evaluation or measurement systems where correctness is non-negotiable, not just data-moving
Experiment tracking and reproducibility standards — always looking to improve the evaluation pipeline; you understand what needs to be tracked, why reproducibility matters scientifically, and you find the right approach for the context without being dogmatic about tooling
Statistical reliability concepts — enough to understand what inter-rater reliability means for evaluation output and why reproducibility matters scientifically

What you get

The role: You'll work directly with Sophia Zitman (AIEI Team Lead) as the technical backbone of the AI Ethics Index. Full engineering ownership of the evaluation engine.

The comp: Base salary $110,000.

The team: Small, split between ethicists and engineers. You will interview with Janet Kang (Executive Director) and Sophia Zitman (AIEI Team Lead).

The environment: Boston-based non-profit (501(c)(3)). East Coast US or Western Europe time zones. Collaborative but autonomous — Sophia won't micromanage, but she will hold you to a high standard of systems thinking.

The upside: You'll have built the technical foundation of what may become the globally referenced standard for AI system evaluation. That's a meaningful line on any CV — and a genuinely hard thing to have done.

Not Specified

P

Project Manager - Civil / Site

✦ New

Salary not disclosed

Boston, MA 5 hours ago

Project Manager – Site/Civil | Cape Cod & Southeastern MA

For more than 50 years, our client has built the infrastructure that defines their community. Asphalt paving, site development, underground utilities, subdivision construction, and airport work. Over 8,000 projects completed. A large owned fleet. A skilled, experienced construction crew. Support from a talented administrative team. Any Project Manager would be very happy working here.

They're professional and forward-thinking, but far from stuffy and corporate. The office is the kind of space you wouldn't expect from a civil contractor - bright, open, and well-appointed. Think Silicon Valley startup, not construction trailer. Stocked fridge, snacks available all day, and a modern layout that makes going into the office something to look forward to.

They are known for investing in their people - they believe their team is their greatest asset. Careers are built here, and experienced people are respected for what they know and what they bring. We can say that with confidence - one of our own placements is still there 22 years later and, by all accounts, has never looked back.

The Role

You will own the schedule, the budget, and client relationships - supported by a highly experienced field team. This is a hands-on PM role where you run real work, not just push paperwork.

What You'll Do

Own project delivery from award through closeout
Coordinate with field superintendents for safe, on-budget, on-time project execution
Manage submittals, RFIs, and change orders
Build strong relationships with municipal, state, and private clients
Identify risks early and get ahead of problems

What We're Looking For

5+ years of PM experience in civil construction, site development, or heavy civil
Experience managing projects up to $20M+
Strong knowledge of earthwork, paving, utilities, and sitework
Ability to read plans, specs, and contract documents, and comfortable using B2W software
MassDOT, municipal, or federal client experience is a strong plus
Degree in Civil Engineering or Construction Management preferred - equivalent field experience considered
Based in southeastern MA or Cape Cod strongly preferred

Why This Role

50+ years of experience with a strong reputation
stable pipeline of projects and year-round work
family-owned, not private equity - community matters to them
Self-perform culture with real operational responsibility (Member of Local 385, Local 4, Local 59)
Leadership that has been in your shoes and invests accordingly
A genuine path toward senior leadership
Complex, high-profile projects across Massachusetts
Competitive salary, health benefits, PTO, 401K, vision, and flexible supplemental options

Quietly thinking about a move closer to the Cape?

Apply now, or give me a call or text me for a confidential conversation. No resume is needed to start.

Let's just chat. Call me.

Colm Allen | Owner

c: 617.216.3666

Not Specified

AI Experimentation Strategy Director (Remote)

✦ New

🏢 GoDaddy

Salary not disclosed

Remote, Oregon 5 hours ago

Location: United States

At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.

This is a remote position, so you'll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.

This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands.

GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC.

Join Our Team

We are looking for an experienced leader in experimentation methodology to join our core Applied ML team. The Applied AI and Machine Learning team handles large-scale data to support many business areas. We develop a cohesive navigation experience across channels and web pages. Our goal is to simplify and improve the shopping experience for everyday entrepreneurs worldwide, helping them quickly find what they need on our website.

In this leadership role, you will enhance the strategic direction of our experimentation methodology efforts. You will use simulations and reinforcement learning, ensuring consistency with business objectives, and supporting cross-functional teams in data-informed experimentation solutions. You will guide teams working at the intersection of large-scale foundation models, multi-agent systems, and RL-based optimization, encouraging a culture of collaboration, innovation, and technical excellence.

What you'll get to do...

Define and drive the strategic roadmap for AI driven experimentation methodology, aligning initiatives with organizational goals and business impact
Supervise and mentor teams of scientists and engineers, providing technical guidance and career development
Promote meticulous experimentation, including the development of simulation environments and robust evaluation frameworks using machine learning and RL
Collaborate with product, engineering, and business teams to translate research outcomes into scalable, production-ready experimentation solutions
Facilitate knowledge sharing and cultivate a collaborative, innovative environment across the Applied ML team and broader organization

Your experience should include...

3+ years of professional experience managing and leading high-performing teams, including mentoring and coaching team member to achieve organizational goals
5+ years of professional experience in experimentation methodology, Reinforcement Learning, and software development
2 + years of professional with experimentation platforms, data pipelines, and analytical tools to guide methodological rigor
A deep understanding of statistical principles, causal inference, and experimental design for large-scale digital products
A track record of partnering effectively with experimentation platform teams, product managers, and business stakeholders to drive data-informed decision-making
5+ years of professional experience translating complex statistical concepts into actionable insights for technical and non-technical audiences
The ability to define and implement a vision for experimentation best practices across diverse product areas

You might also have...

Master's in computer science or equivalent quantitative fields

We've got your back... We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy's benefits vary based on individual role and location and can be reviewed in more detail during the interview process.

We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way.

About us... GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us.

At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that's not enough to build true equity and belonging in our communities. That's why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It's the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.

GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.

Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to

Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

GoDaddy doesn't accept unsolicited resumes from recruiters or employment agencies.

Remote working/work at home options are available for this role.

Not Specified

Lead Experimentation Scientist in AI (Remote)

✦ New

🏢 GoDaddy

Salary not disclosed

Remote, Oregon 5 hours ago

Location: United States

At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.

This is a remote position, so you'll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.

This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands.

GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC.

Join Our Team

We are looking for an experienced leader in experimentation methodology to join our core Applied ML team. The Applied AI and Machine Learning team handles large-scale data to support many business areas. We develop a cohesive navigation experience across channels and web pages. Our goal is to simplify and improve the shopping experience for everyday entrepreneurs worldwide, helping them quickly find what they need on our website.

In this leadership role, you will enhance the strategic direction of our experimentation methodology efforts. You will use simulations and reinforcement learning, ensuring consistency with business objectives, and supporting cross-functional teams in data-informed experimentation solutions. You will guide teams working at the intersection of large-scale foundation models, multi-agent systems, and RL-based optimization, encouraging a culture of collaboration, innovation, and technical excellence.

What you'll get to do...

Define and drive the strategic roadmap for AI driven experimentation methodology, aligning initiatives with organizational goals and business impact
Supervise and mentor teams of scientists and engineers, providing technical guidance and career development
Promote meticulous experimentation, including the development of simulation environments and robust evaluation frameworks using machine learning and RL
Collaborate with product, engineering, and business teams to translate research outcomes into scalable, production-ready experimentation solutions
Facilitate knowledge sharing and cultivate a collaborative, innovative environment across the Applied ML team and broader organization

Your experience should include...

3+ years of professional experience managing and leading high-performing teams, including mentoring and coaching team member to achieve organizational goals
5+ years of professional experience in experimentation methodology, Reinforcement Learning, and software development
2 + years of professional with experimentation platforms, data pipelines, and analytical tools to guide methodological rigor
A deep understanding of statistical principles, causal inference, and experimental design for large-scale digital products
A track record of partnering effectively with experimentation platform teams, product managers, and business stakeholders to drive data-informed decision-making
5+ years of professional experience translating complex statistical concepts into actionable insights for technical and non-technical audiences
The ability to define and implement a vision for experimentation best practices across diverse product areas

You might also have...

Master's in computer science or equivalent quantitative fields