Member of the Technical Team - AI/ML Software Engineer

What you’ll accomplish with us:

• Develop end-to-end AI and software systems that enable reproducible and transferable science at scale.

• Design and implement multimodal data pipelines (for both pre-training and reinforcement learning).

• Collaborate closely with scientists and engineers across teams to drive alignment and ensure knowledge flows efficiently.

• Bring cross-functional initiatives from concept to delivery. Establish milestones, communication cadences, and decision-making frameworks.

• Become customer obsessed. Initiate, support, and lead program execution with external partners and collaborators to capture, document, and deliver results.

• Develop intuitive, usable tools and UIs in partnership with product and design to support scientist workflows.

• Evaluate and integrate external tools, open-source models, and strategic partners.

• Work alongside the biology and operations teams to identify automation opportunities and improve experiment documentation and reproducibility.

Requirements:

• Strong programming expertise, with experience in software engineering, data systems, machine learning, and/or AI product and model development.

• Fluency in Python, modern ML libraries (e.g., PyTorch), and cloud infrastructure (e.g., AWS, GCP)

• Demonstrated ability to turn ideas into functional prototypes. Ability to build quickly, test often, and refine thoughtfully—balancing prototypes with production quality as the company scales.

Additional preferences:

• PhD or advanced degree in Machine Learning, Computer Science, or related field.

• Experience in software engineering, data systems, machine learning, or AI product development in a scientific settings (either academic or industry)

• Experience building AI/ML-powered products from ideation to deployment

• Startup or early-stage experience preferred; comfort with ambiguity and rapid iteration is a must.

• Ability to clearly communicate technical concepts to cross-functional teams and collaborate on projects spanning AI, biology, and product.

• Ideal candidates are located within commuting distance from Cambridge, MA.

Member of the Technical Team - AI/ML Scientist

What you’ll accomplish with us:

• Design and implement novel machine learning approaches—especially in pre-training, multimodal learning, and reinforcement learning—to make experimental science more reproducible, interpretable, and transferable at scale.

• Design and develop AI models that can learn from experimental protocols, lab execution data, and failure modes to suggest, simulate, or guide future experiments.

• Develop and implement data collection strategies—including computer vision, audio, and sensor-driven interfaces—to capture tacit knowledge embedded in physical lab workflows and human decision-making.

• Become customer obsessed. Initiate, support, and lead program execution with external partners and collaborators to capture, document, and deliver results.

• Develop and test internal and external benchmarks, validation strategies, and frameworks for testing reproducibility, robustness, and scientific utility.

• Work alongside the biology and operations teams to identify automation opportunities, uncover latent structures in messy lab data, capture tacit knowledge, and improve experiment documentation and reproducibility.

• Translate scientific hypotheses into computational experiments, analyzing model behavior and experimental results to draw actionable insights.

• Stay on top of the latest research in ML/AI and evaluate its applicability to our platform. We will support opportunities to publish or present where appropriate to establish technical leadership.

Requirements:

• Advanced degree in Computer Science, Machine Learning, or a related field.

• Deep expertise in generative models, representation learning, multimodal learning, reinforcement learning, and/or causal inference.

• Fluency in Python, modern ML libraries (e.g., PyTorch), and cloud infrastructure (e.g., AWS, GCP)

• Demonstrated ability to design and implement ML models in noisy, complex, real-world settings—ideally involving biological or scientific data.

Additional preferences:

• Experience in a scientific or research-intensive environment—academic labs, biotech R&D, national labs, or similar.

• Familiarity with experimental workflows, lab automation, or scientific instrumentation.

• Startup or early-stage experience preferred; comfort with ambiguity and rapid iteration is a must.

• Ability to clearly communicate technical concepts to cross-functional teams and collaborate on projects spanning AI, biology, and product.

• Ideal candidates are located within commuting distance from Cambridge, MA.

NRGCO, a C10 Labs incubated company, is building autonomous AI agents to monitor, optimize, and protect critical infrastructure—power plants, data centers, power grids, water systems, and mobility networks—against climate and operational risks. Think intelligent systems that reason, self-heal, and act in real time across the edge-cloud continuum.

We’re looking for a founding CTO to architect and lead our AI platform, bringing together multi-agent systems, real-time data pipelines, and frontier models (LLMs, graph AI, digital twins). You’ll set the technical roadmap, build and scale the core engineering team, and shape NRGCO’s product into a category-defining resilience platform.

What will you do: 

• Technology Strategy & Architecture: (i) Define and lead the technical vision and roadmap of the company’s AI platform. (ii) Architect a scalable, secure, and high-performance AI/ML infrastructure for large-scale enterprise deployment. (iii) Oversee the development of a unified data model, model-driven architecture, and reusable microservices architecture
• Platform Leadership: Architect and evolve agentic autonomy across compute, energy, and infrastructure domains using LLMs, graph AI, digital twins, and control systems.
• Systems Integration: Oversee real-time agent orchestration, sensor/actuator pipelines, workload and energy optimization.
• Reliability & Scale: Build enterprise-grade infrastructure achieving "five‑9s" reliability—breaking silos between diagnostics, mitigation, and prevention.
• Team & Culture: Grow engineering, research, and infra teams, instilling a mission-driven, agile mindset.
• Innovation & AI Thought Leadership: Evaluate emerging technologies (LLMs, multi-agent systems, edge AI, MLOps, etc.) for integration into the platform.
• Strategic Partnerships: Lead tech due diligence and collaboration with industry leaders

Who you are: 

• Proven experience of 10+ years in senior R&D/platform roles—cloud infrastructure, AI systems (LLM-level), or real-time operations, with at least 4+ years in a startup environment.
• Proven track record in architecting self-healing, distributed systems with microservices, containerization, and edge-to-cloud orchestration.
• Passion for climate tech, sustainability, and mission-critical engineering.
• Outstanding technical leadership and communication—able to inspire investors, regulators, and enterprise customers.
• Startup or founding team experience, having brought a product from 0→1
• MS/Ph.D. in Computer Science/Engineering, Operations Research, or AI.
• Experience building and leading high-caliber, globally distributed engineering teams. 

Preferred Experience

• Background at a company similar to C3.ai, GE
• Vernova, Siemens Energy, XMPRO, Snowflake, or other enterprise AI/data platforms
• Prior experience with energy, data centres, utilities, or industrial applications of AI.
• Open-source contributions or patents in AI, software engineering, or enterprise systems.
   

This will be an equity compensated role to start with salary to be determined upon closing of the first round of fundraising.

Description: Skyline Nav AI, Inc. is a well-funded, commercially successful scale-up focused on revolutionizing visual navigation technology as an alternative to GPS, for our commercial and military customers. We are seeking highly motivated and hungry recent graduates (Bachelor's/Master's/PhD's) who are passionate about computer vision, robotics and AI to join our team.

As a R&D Engineer, you will be responsible for developing and productionizing computer vision algorithms and machine learning models to help our technology achieve high-accuracy visual navigation. This includes developing new algorithms, as well as optimizing existing methods for real-time use on edge-devices.

Requirements:

1. Candidate must be a US citizen, eligible for US Department of Defense Security Clearance

2. B.S./M.S./Ph.D. degree in Computer Science, Electrical Engineering or related field

3. Strong programming skills in Python and C++

4. Proficient working with computer vision and machine learning concepts

5. Ability to work in fast-paced dynamic startup environment

Preferred:

- Experience with visual navigation or similar technologies

- Knowledge of drones and autonomous vehicle systems

We don't use automated chatbots to review applicants. Every applicant is reviewed by our leadership team. We typically get back to candidates within a few days of applying. 

If you are passionate about visual navigation and want to make an impact in this exciting and rapidly growing industry, we would love to hear from you. We offer competitive compensation packages, remote work and opportunities for growth within our company.

If you require any special accommodations to participate in this application process, please do not hesitate to email us at careers@skylinenav.com so we can assist you.

To be considered for this role, please complete this brief application form. 

AI Research Scientist

About Visceral
Visceral, newly empowered by our seed round, is reinventing market research. Our AI-native platform automates and orchestrates the process of getting new, proprietary market data with surveys and related research instruments. Led by the former Chief Strategy Officer of Capital One and a co-founder who took a leading consumer product company from inception to IPO, our team is redefining how global markets are understood. We’re seeking an AI Research Scientist to push the boundaries of machine learning and shape a platform that transforms decision-making.

• Advance AI Innovation: Develop novel machine learning models to process proprietary survey data and secondary sources, delivering predictive and actionable market insights.
• Optimize Data Pipelines: Design and implement scalable AI systems for automated surveys, interviews, and analytics, ensuring robustness and efficiency at scale.
• Collaborate with Experts: Work with engineers and industry leaders in a high-intensity, remote environment to integrate AI solutions into a market-leading platform.
• Redefine Research Paradigms: Build AI that reshapes how economies are analyzed, demanding relentless commitment to groundbreaking impact.

What You Bring

• Unrelenting Ambition: Total dedication to advancing AI for unique, high-stakes insights—no work-life balance expected in this mission-driven role.
• Technical Excellence: Deep expertise in machine learning, proficiency in Python and frameworks like TensorFlow or PyTorch, and experience with large-scale data processing; familiarity with TypeScript a plus.
• Contrarian Mindset: Ability to challenge conventional AI approaches and devise first-principles solutions that redefine research capabilities.
• Self-Direction: In this role, you will set and drive Visceral’s research agenda.

Requirements

• Ph.D. in AI/ML-related field, 5-10 years industry experience in AI/ML, or equivalent competency
• Strong mathematical foundation in AI/ML, including proficiency in areas such as linear algebra, calculus, probability, statistics, and optimization, with the ability to apply these concepts to design and analyze machine learning algorithms (e.g., deriving loss functions, optimizing neural networks, or modeling uncertainty).
• Demonstrated ability to translate mathematical principles into practical AI/ML solutions, evidenced in research publications, open-source contributions, or complex projects.

Compensation
$250-500k (commensurate with experience), with a generous equity package and insurance.

Application Prompt
Tell us: What area of AI/ML research is everyone ignoring? Why is it important?

Send your thoughts to christian@visceral.ai.

Brace Health is looking to hire a founding engineer to join their team. Brace is on a mission to improve access to allied healthcare by helping providers build world class practices.  Starting in Physical Therapy, Brace Health is digitizing and automating the billing workflows to help SMB practices collect more revenue, as well as drive additional revenue streams.  Brace Health is a seed stage company backed by Bessemer, Eniac, and Underscore VC. The role is in-person in Cambridge. We're looking for exceptional developers who want to solve difficult problems using cutting edge AI technology, and ideally want to be a founder themselves one day / already have been a founder.

-

Website: https://www.bluesarah.ai/

LinkedIn: https://www.linkedin.com/company/blue-sarah-inc/

POC: careers@bluesarah.com

Blue Sarah is hiring! Do you want to work in a fast-paced, high-growth tech company working

with some of the biggest brands in fashion and footwear? Are you a Data Scientist looking to

get in on the ground floor of an AI strategy?

About Us: Blue Sarah is an ai-powered co-pilot on its way to being an agent. Our goal is to reinvent the

modern shopping experience. We are starting by aggregating and analyzing third-party consumer

reviews, which we then offer to brands and retailers, so they can learn what consumers are thinking about

their products in real time. Our aim is to decrease consumer returns and to increase speed-to-market on

new product development. We are looking for talented, collaborative, self-starters to join our dynamic

team and contribute to designing engaging and intuitive digital products.

Job Title: UX/UI Designer

Location: Remote

Responsibilities Include:

Role Overview: As a UX/UI Designer at Blue Sarah, you will be responsible for creating user-centered

designs for our web and mobile applications. You will collaborate mostly with our CRO and CTO to

produce experience and interface design that is intuitive to use, visually delightful, and interfaces with our

backend to meet user needs and business goals. The ideal candidate has passion for communication

through design, and loves the concept of Blue Sarah.

Key Responsibilities:

● User Research & Analysis:

Attend all customer meetings to conduct user research and gather insights and validate

design decisions. Analyze user needs, behaviors, and pain points to inform design

solutions.

● Design & Prototyping:

Create wireframes, prototypes, and designs for web and mobile applications.

Develop user flows, journey maps, and other design artifacts to communicate design

concepts effectively. An ideal candidate will be able to use Figma, Adobe XD, Sketch and

will be able to code. An ideal candidate will also have experience creating logo design

and marketing materials.

● UI Design:

Design delightful, beautiful, easy to understand, and responsive interfaces for mobile and

desktop applications and website

Work with developers to ensure the accurate implementation of design specifications.

● Collaboration & Communication:

Work closely with our CTO and Product development team to understand project

requirements and constraints.

Present and articulate design decisions, rationale, and trade-offs to team members and

other stakeholders.

● Continuous Improvement:

Run usability testing to iterate on designs based on user feedback and analytics to

enhance user satisfaction and engagement.

Stay up-to-date with industry trends, tools, and best practices to continuously improve

design processes and outcomes.

Qualifications:

● Education & Experience:

○ 5+ years of experience in UX/UI design, preferably in a digital product

environment.

● Skills:

○ Proficiency in design tools such as Adobe Creative Suite, Sketch, Figma,

○ Strong understanding of user-centered design principles and methodologies.

○ Experience with responsive design and mobile-first design strategies.

○ Familiarity with HTML, CSS, and JavaScript.

● Soft Skills:

○ Strong entrepreneurial spirit.

○ Excellent problem-solving skills and attention to detail.

○ Strong communication and presentation skills.

○ Ability to work collaboratively in a fast-paced environment.

○ Passion for our business and creating exceptional user experiences with an eye

for clean and impressive visual design.

Competitive compensation and benefits package, including healthcare and generous

vacation package.

Website: https://www.bluesarah.ai/

LinkedIn: https://www.linkedin.com/company/blue-sarah-inc/

POC: careers@bluesarah.com

Blue Sarah is hiring! Do you want to work in a fast-paced, high-growth tech company working

with some of the biggest brands in fashion and footwear? Are you a Data Scientist looking to

get in on the ground floor of an AI strategy?

About Us: Blue Sarah is an ai-powered co-pilot on its way to being an agent. Our goal is to reinvent the

modern shopping experience. We are starting by aggregating and analyzing third-party consumer

reviews, which we then offer to brands and retailers, so they can learn what consumers are thinking about

their products in real time. Our aim is to decrease consumer returns and to increase speed-to-market on

new product development. We are looking for talented, collaborative, self-starters to join our dynamic

team and contribute to designing engaging and intuitive digital products.

Job Title: Full Stack/Front End Engineer

Location: Remote

Responsibilities include:

· Developing and implementing software applications

· Developing software components and unit tests

· Implementing new features into ever-evolving applications based on business

requirements

· Collaborating with a team of developers and product managers

· Developing and maintaining quality software product code

· Troubleshooting, debugging and upgrading software

· Building scalable software solutions

· Assisting in enhancing existing software components and adding new features

· Writing technical documentation

· Providing technical leadership for the team

Skills:

· Entrepreneurial Mindset.

· Front-end Knowledge: Expertise in front-end technologies such as JavaScript, CSS3, and

HTML5, as well as third-party libraries such as React Js, Angular, jQuery, and LESS.

· Back-end Knowledge: Facility with server-side programming languages such as Ruby,

Python, Java, and Net.

· Database and Caching Knowledge: Knowledge of DBMS technologies such as

SQLServer, Oracle, MongoDB, and MySQL, as well as caching methods such as Redis,

Memcached, and Varnish.

· Design Knowledge: Basic design abilities include UI/UX expertise and basic prototype

design.

· Server Knowledge: Experience working with Nginx or Apache servers, as well as a strong

knowledge of Linux.

· Experience as a full-stack developer.

· Experience deploying to AWS and automating tasks with AWS, Jenkins, and Docker.

· Comfortable testing your work with tools such as selenium.

· Experience with deployment pipelines and monitoring.

Competitive compensation and benefits package, including healthcare and generous

vacation package.