Fulltime Computer Vision Engineer openings in Boston on September 15, 2022

Computer Vision Engineer – Remote at Jobot

Location: Boston

Remote, CV focused Product, Great Culture

This Jobot Job is hosted by Dylan Currier

Are you a fit? Easy Apply now by clicking the “Apply” button and sending us your resume.

Salary $155,000 – $180,000 per year

A Bit About Us

We are a startup within an enterpise business and have huge growth plans! Our product relies on Computer Vision to make it easier for customers to choose between different product offerings. We are headquartered in the Bay Area but have engineers throughout the country! With a remote-first culture, we strongly believe in collobaration via Microsoft Teams.

Our software is used daily by millions of customers globally and we are still gaining new customers, we have exciting plans for the future!

Why join us?

We have an interesting set of problems to solve, laid back culture, and strongly believe in promoting from within. We understand that everyone has a life outside of work and strongly value work life balance. We are a remote first organization and have a distributed team across the United States.

Perks
• 401k Match
• Medical, Dental, Vision
• Equity
• Competive base salary

Job Details

What you will do
• Work cross functionally to build out our AR platform
• Work with different datasets and key metrics
• Solve problems with real world data

We are looking for someone with the following skills
• 3+ years of experience
• Expertise in CV
• Experience with PyTorch
• Experience with Tensorflow

Interested in hearing more? Easy Apply now by clicking the “Apply” button.
Apply Here
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Associate Data Scientist in Computer Vision at Dana-Farber Cancer Institute

Location: Boston

Overview

Data Scientist I – Pathology AI and Microscopy / Digital Pathology

We are seeking an intelligent, hard-working, and dynamic individual to serve as a data scientist focusing on Pathology AI within the AI Operations and Data Science Services group — a group serving some of the most prominent research and clinical programs at the Institute, from basic to translational research, to clinical deployment, and operationalization. The group encompasses expertise in AI, data science, machine learning, NLP, computer vision, production deployment, cloud infrastructure, data engineering, project management standards, and data labeling. The group seeks to develop a highly interdisciplinary environment supporting our research, clinical and operational staff advance the overall mission of DFCI which is to provide expert, compassionate care to children and adults with cancer while advancing the understanding, diagnosis, treatment, cure, and prevention of cancer and related diseases.

This position is fully remote with flexibility to come onsite if desired. Please note that any qualified candidates must reside in MA, RI, or NH.

As we widen our support of several crucial centers and programs at DFCI, we seek an energetic and motivated data scientist who will contribute to designing, implementing, and deploying computational image analysis pipelines to support the Institute’s initiatives in spatial proteomics and other cutting-edge technologies at the intersection of imaging and molecular profiling. The candidate will serve as the data science domain expert on highly interdisciplinary, collaborative projects, ranging from hypothesis-driven research projects to building institutional-scale computational infrastructure to enhance and improve the Institute’s capabilities across entire departments and centers. The successful candidate will bring deep technical skills as well as strong communication and collaboration skills, with proven experience working on large complex projects, meeting deadlines, and managing relationships with key stakeholders.

Responsibilities

The key responsibilities and requirements will be:
• Working with the area leader for Pathology AI in order to support their tasks in managing internal research clients and leading and executing projects end-to-end as required, as well as leading certain aspects of the Pathology AI area (eg, Client management, certain technical projects, etc.)
• Consulting with scientists, identifying their needs from a data science and data infrastructure perspective, and designing and implementing plans and solutions to address these gaps
• Delivery of results for projects on-time and on-budget
• Working as part of the broader team to identify longer-term solutions that will improve quality, speed and efficacy of our current projects and programs
• Evaluating and benchmarking new libraries; prototype and pipeline development.
• Excellent communication and effective problem-solving skills, track record in serving a variety of diverse customers and projects
• Ability to work independently, prioritize, and manage people if needed, within an environment with ever changing priorities
• Mentor and supervise junior personnel, scoping and delegating work to Associate Data Scientists and/or Data Science Interns and Trainees, as well as supporting them during their projects in order to deliver new and ambitious goals in the group
• Consistently track all activities in project management tools; work with Project Manager as required
• Demonstrate excellent soft-skills, such as excellent oral, written, and presentation communication skills
• Contribute to scientific manuscripts and presentations as required
• Possibly, attract new research clients
• Actively contribute to the growth of the AI Operations and Data Science Services group, in terms of scope, access, responsibilities, and new projects that are trusted with the group
• Support the I&A Department and the Institute as a whole, should be the baseline mentality

Requirements:
• Deep AI / data science skills, at the interface between computer science and statistics
• MS in quantitative field such as data science, computer science, applied mathematics, or equivalent experience with evidence of impact in data science applied to real life problems (eg, some quant master courses AND experience in data science internship) in a research setting ideally within a clinical or research environment
• Experience with data science methodologies and techniques, e.g. hypothesis testing, classification, regression, clustering, feature allocation, deep learning, time-series analysis, network modeling, feature selection/engineering.
• Strong proficiency in Python. Key domains include: machine learning, image processing, distributed/high-performance computing
• Strong knowledge of image processing and computer vision techniques
• Familiarity with Jupyter Lab, linux, and git

Qualifications

Preferred Qualifications:
• Preferred 1 to 5 years of experience post MS or PhD
• Prior experience with spatial omics STRONGLY preferred (e.g., CODEX, MERFISH, CyCIF, seqFISH, etc.)
• Experience with design and development of open-source software/tools (software design best practices, unit testing, integration testing, packaging, documentation, etc.)
• Cloud computing experience (e.g., GCP)
• Domain knowledge of cancer biology, immunology, oncology, cancer genetics, is a plus

At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are equally committed to diversifying our faculty and staff. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply.
Apply Here
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Computer Vision, Perception Engineer at Lawrence Harvey

Location: Boston

Lawrence Harvey has recently partnered with a drones/UAV startup based in Boston, Massachusetts, looking to make a couple of key hires including a Computer Vision and Perception Engineer.

This organization specializes in a compact, propeller-hidden drone aimed at mapping difficult and dangerous areas. Its application is widespread and can be applied in many different industries, including Aerospace, Oil and Gas, Public Safety, Manufacturing, and more. Their mission is to create safe drones that can reach areas no other human/robot can to collect critical data to enhance different systems’ safety and decrease costs in doing so.

The role at a low level would be to take ownership of the system’s perception stack. You will be driving the system’s Perception components to integrate camera and sensor data so that the drone can be able to “see” in any given environment. You’ll work closely alongside the controls and autonomy teams to continuously adapt the system, whilst working with current customers to gather feedback to help improve the overall system.

Qualifications:
• BS/MS Degree in Electrical Engineering, Computer Science, Robotics, or relevant field.
• 2+ years of industry experience implementing perception, state estimation, and planning algorithms for autonomous systems.
• Experience working with real-time sensor fusion (ex. LiDAR, Camera, RADAR, Sonar)
• Experience deploying Computer Vision and Deep Learning models on edge devices.
• Proficient with C++ and Python.
• Underlying understanding of fundamental mathematic concepts (3D geometry, linear algebra)

Responsibilities:
• Design and implement real-time estimation, mapping, tracking, and localization algorithms for real-world applications in both 2D and 3D maps.
• Fuse multiple different channels of the perception stack (LiDAR, Camera, RADAR, Sonar) to unlock the full potential of the device.
• Research and develop new models within Computer Vision, Deep Learning, and Perception to integrate into the system as it evolves.
• Work cross-functionally with the controls and autonomy teams to make the system autonomous.
Apply Here
For Remote Computer Vision, Perception Engineer roles, visit Remote Computer Vision, Perception Engineer Roles

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Computer Vision and Perception Engineer at Cleo Robotics

Location: Boston

Cleo Robotics specializes in unconventional robotic systems equipped with cutting-edge sensing and intelligence in a tiny package to operate in dangerous and difficult to reach environments.
Our customers span across various industries including Aerospace, Oil and Gas, Public Safety and Manufacturing.

We’re a growing team of experts in robotics and autonomous systems with diverse backgrounds and skills.

Our mission is to build safe drones that can operate where no other robot can for collecting critical data that can save lives and decrease costs.
If you get excited about solving big problems and building robots straight from science fiction, and you thrive in a fast-paced environment, this role might be for you

The Role:
Improvements to the Dronut’s autonomous capabilities are critical to unlocking this technology’s full potential.

You will be driving this effort and working closely with our controls and autonomy engineering teams, and you will also have the opportunity to work with some of our customers.

You will be improving our existing Autopilot stack and laying the groundwork for full autonomy in GPS denied and complex environments.

Responsibilities:
Design and implementation of real-time estimation, mapping, tracking and localization algorithms and testing in real environments

Fusion of multiple sensors including IMUs, monocular and stereo cameras, LiDAR, and rangefinders such as time of flight and sonar

Generating 2D and 3D maps in real time

Design of a robust state estimation such as Extended Kalman Filter as well as sensor fusion algorithms such as Visual Inertial Odometry

Collaborating with various members of the team, and interacting with customers

Requirements

BS or MS in Computer Science, Robotics, Aerospace Engineering, or a similar field with 2+ years of experience

Industry experience with implementing perception, planning, filtering and state estimation algorithms for autonomous systems

Experience with real-time sensor fusion (e.g. IMU, LiDAR, SLAM, odometry, sonar)

Prior experience with optimization for computationally constrained edge computing devices and building perception pipelines using ROS, C/C++, OpenCV and/or CUDA

Solid software engineering foundation with a proficiency in C++, Python and Matlab among other languages, and the ability to write clean and easy to understand code

Strong foundation in mathematics and fundamentals (3D geometry, linear algebra, quaternions)

Deep understanding of kinematics, dynamics and equations of motion for systems

Experience in calibration and signal processing of motion sensors and intrinsic parameters

Bonus Points for:
Experience with implementing robotic control algorithms

Experience with obstacle detection and avoidance, object tracking and path planning algorithms

Experience with development on embedded systems

Benefits

Health Care Plan (Medical, Dental & Vision)

Paid Time Off (Vacation, Sick & Public Holidays)

Company holidays

Free Food & Snacks

Stock Option Plan
Apply Here
For Remote Computer Vision and Perception Engineer roles, visit Remote Computer Vision and Perception Engineer Roles

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Space Computer Vision Engineer – Space Systems at Groe Advisors

Location: Woburn

Description

The company is looking for a Space Computer Vision Engineer for projects in the areas of autonomy and unmanned systems. This position requires U.S. Citizenship and eligibility for U.S. Dept. of Defense Security Clearance.

M.S. w/5+ years of relevant experience, in Space Systems, Aerospace, Robotics, CS, EE, or related field.

The company is a leading developer of advanced technologies for navigation, mission planning and autonomy for the Aerospace and Defense industries. Founded in 1990 and based in Woburn, MA, invents disruptive technologies, develops revolutionary solutions, and builds trusted products for our customers’ most challenging missions. The company focuses on the creation of AI/ML enabled capabilities to command, control, communicate with, and manage composable collections of intelligent agents, smart sensors, and autonomous platforms across all domains.

Duties
Help us build satellite mission-level autonomy flight software, test it, and deploy it to space for on-orbit demonstrations of autonomous spacecraft software missions
Work as part of a team to design, implement, and test autonomy, AI, and machine learning algorithms and software systems for Embedded autonomous satellites in constellation/cluster/RPO/single-vehicle missions
Perform trade studies, implement research paper algorithms, and develop new algorithms for computer vision, including SLAM, Pose Estimation, object tracking, and object identification using classical and ML-based methods.
Requirements
5+ years experience in R&D of Computer Vision Software in a robotics context.
Experience with SLAM, Pose Estimation, feature detection & tracking, object tracking, object identification, and image segmentation using classical and ML-based methods
Experience with OpenCV
Experience with Deep Learning methods for computer vision
Python, Docker, Linux, C++

Desired Skills
Exposure to on-orbit servicing satellite operations and space systems.
Experience with real sensor systems, and spacecraft payloads and sensing subsystems
Experience with Modeling & Simulation
Basic knowledge of orbital dynamics, space flight software
Proficiency with Linux ARM and CMake, and implementation of vision systems on Embedded systems
Benefits
Salary is competitive with market rates, with annual bonus awards based on company and individual performance. SSCI benefits package includes 401K and Health/Life/Disability Insurance.

Job Type: Full-time

Pay: $100,000.00 – $155,000.00 per year

Schedule:
8 hour shift

Ability to commute/relocate:
Woburn, MA 01801: Reliably commute or planning to relocate before starting work (Required)

Application Question(s):
What is your US work eligibility?
What is your target compensation for this role?

Education:
Master’s (Preferred)

Experience:
computer vision software: 5 years (Preferred)

Work Location: One location
Apply Here
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CV/ML Applied Scientist, Special Projects at Amazon Services LLC

Location: Boston

• PhD or equivalent Master’s Degree plus 4+ years of experience in CS, CE, ML or related field
• 2+ years of experience of building machine learning models for business application
• Experience programming in Java, C++, Python or related language
• 2+ years of experience in applying NLG, NLP and related methods,
• 2+ years algorithm development experience.
• 2+ year software development in languages such as: C/C++ or python
• TensorFlow, AWS systems
Job summary

We are a team of builders working passionately to solve real-world problems that touch billions of people by harnessing cutting-edge technologies.
Our team rewards curiosity while maintaining a laser focus on building and launching products to market.

We are looking for an exceptional Applied Scientist with core expertise in computer vision and machine learning to join us as we are building the core founding team.
Competitive candidates are responsive, flexible, and able to succeed within an open, collaborative, entrepreneurial, startup-like environment.

Being part of the team, you have the opportunity to work together with a diverse and talented team of scientists, engineers, and product managers to build something groundbreaking and meaningful.
Responsibilities

As an Applied Scientist, you will spearhead the effort to identify and solve various complex technical challenges in computer vision to help enable a first-of-its-kind customer experience.

You will play an active role in translating business and product requirements into concrete deliverables in your domain.

You will be part of the founding team to build quick prototypes and proofs of concept to demonstrate substantially better experiences than people have access to today.

You will lay out the groundwork in machine learning, a core area of focus in this program. You will partner with other science, engineering, and product leaders to influence the technology and product roadmap.

You should be well versed in the relevant literature and have the ability to identify, analyze, and adapt new state-of-the-art methods as well as beyond to create new problem-solution pairs to build breakthroughs.
You will have the opportunity to work with other technical teams at Amazon within and outside the organization.

You should be comfortable with a higher degree of ambiguity than most projects and relish the idea of solving problems that haven’t been dreamed up and much less solved at scale before – anywhere.
Along the way, you’ll learn a ton, have fun and make a positive impact at scale.

At Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally.

We have innovative benefit offerings and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.

Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Our team puts a high value on work-life balance.

It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life.
We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment.

We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Our team is dedicated to supporting new members.

We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship.
Our senior members enjoy one-on-one mentoring.

We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
Key job responsibilities

As an Applied Scientist, you will spearhead the effort to identify and solve various complex technical challenges in computer vision to help enable a first-of-its-kind customer experience.

You will play an active role in translating business and product requirements into concrete deliverables in your domain.

You will be part of the founding team to build quick prototypes and proofs of concept to demonstrate substantially better experiences than people have access to today.

You will lay out the groundwork in machine learning, a core area of focus in this program. You will partner with other science, engineering, and product leaders to influence the technology and product roadmap.

You should be well versed in the relevant literature and have the ability to identify, analyze, and adapt new state-of-the-art methods as well as beyond to create new problem-solution pairs to build breakthroughs.
You will have the opportunity to work with other technical teams at Amazon within and outside the organization.

You should be comfortable with a higher degree of ambiguity than most projects and relish the idea of solving problems that haven’t been dreamed up and much less solved at scale before – anywhere.
Along the way, you’ll learn a ton, have fun and make a positive impact at scale.

At Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally.

We have innovative benefit offerings and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.

Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Our team puts a high value on work-life balance.

It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life.
We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment.

We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Our team is dedicated to supporting new members.

We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship.
Our senior members enjoy one-on-one mentoring.

We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
• Demonstrable depth and breadth in state-of-the-art computer vision and machine learning technologies
• Proven track record of innovation in creating novel algorithms and advancing the state of the art
• Ability to develop practical solutions to complex problems informed by the latest state of the art and with limited guidance
• Interest in real-time systems such as HCI.
• Ownership of delivery of end-to-end solutions with reusable and scalable components
• Publications at top-tier peer-reviewed conferences or journals, and or an interest in contributing to these
• Experience deploying deep learning solutions for videos for real-time systems
• Experience with designing and building large-scale systems in a multi-tiered, distributed environment with service-oriented architecture
• Understanding of software development life cycle and project planning/execution skills, including estimating and scheduling
• Experience optimizing for short term execution while planning for long term technical capabilities
• Ability and willingness to multi-task and learn new technologies quickly
• Experience in shipping products and learning from real customer feedback
• Strong communication and collaboration skills
Amazon is committed to a diverse and inclusive workplace.

Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
For individuals with disabilities who would like to request an accommodation, please visit
Apply Here
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Computer Vision Engineer at EVONA

Location: Woburn

Do you want to work for a company that is developing advanced technologies for navigation, mission planning and AI-enabled autonomy systems for Space missions?

Due to continued growth our client is looking to hire an additional Computer Vision Engineer to join their team.

Required Skills:
• 3+ years’ experience in R&D of Computer Vision Software in a robotics context.
• Experience with SLAM, Pose Estimation, feature detection & tracking, object tracking, object identification, and image segmentation using classical and ML-based methods
• Experience with OpenCV
• Experience with Deep Learning methods for computer vision
• Python, Docker, Linux, C++

Desired Skills:
• Exposure to on-orbit servicing satellite operations and space systems.
• Experience with real sensor systems, and spacecraft payloads and sensing subsystems
• Experience with Modelling & Simulation
• Basic knowledge of orbital dynamics, space flight software
• Proficiency with Linux ARM and CMake, and implementation of vision systems on embedded systems
Apply Here
For Remote Computer Vision Engineer roles, visit Remote Computer Vision Engineer Roles

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Principal Applied Scientist, Amazon Dash Carts at Amazon Services LLC

Location: Boston

PhD degree in Computer Vision, Machine Learning or a closely related field.
10+ years of professional experience in applied science and/or based research fields.
10+ years leading the development of systems using advanced Machine Learning and Computer Vision concepts.
Demonstrated leadership experience
Excellent communication skills

Job summary

We are developing advanced technologies that enhance the experience of shoppers in physical stores.

Designed and custom-built by Amazon, existing products such as the Amazon Dash Cart that integrates a variety of advanced technologies including computer vision, sensor fusion, and advanced machine learning.

We are seeking talented people who want to join an ambitious research and development program that who will help us define the future of physical retail.

As a Principal Applied Scientist, you will architect systems that involve addressing complex technical challenges while meeting stringent performance and robustness goals.

You will mentor other engineers and ensure they are producing state-of-the-art solutions while also continuing to advance their knowledge and capabilities.

You will play an active role in guiding the development of research infrastructure for real-time machine learning and you will play a key role in translating technology solutions into real-world systems in partnership with other product organizations.

You will tackle challenging situations every day and you’ll have the opportunity to work with multiple technical teams at Amazon.

You should be comfortable with a high degree of ambiguity and have the communication skills necessary to articulate strategic approaches that both address immediate product needs and which set your team up for future success.
Along the way, we guarantee that you’ll learn a lot, have fun, and make a positive impact on many customers

In this role:
• You will encounter challenging, open-ended technical problems to solve, with solutions that span the entire implementation stack from devices to real-time algorithms to cloud-based services.
• You will be able to demonstrate your strong technical and communication skills as well as your leadership abilities to deliver brand new customer experiences on behalf of Amazon.
• You must be curious in the face of ambiguity and able to develop prototypes and perform experiments to create robust, scalable, distributed and fault-tolerant features to enhance the experience of Amazon customers around the globe.
Experience designing, developing and launching customer-facing products and services using real-time computer vision
Experience adapting and optimizing machine learning models to adhere to stringent real-time computational requirements
Experience developing systems that employ multiple sensors and which are able to effectively fuse information to reach decisions

Amazon is committed to a diverse and inclusive workplace.

Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
For individuals with disabilities who would like to request an accommodation, please visit
Apply Here
For Remote Principal Applied Scientist, Amazon Dash Carts roles, visit Remote Principal Applied Scientist, Amazon Dash Carts Roles

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Staff Software Engineer, Vision / Embedded Systems at Alert Innovation

Location: Andover

Alert Innovation is a fast-growing company on a mission to reinvent retailing through robotics. A diverse, driven, and creative team of professionals, we work daily to design systems that are changing the world of customer fulfillment. We’ve partnered with the world’s largest retailer to develop our Alphabot® technology, which is currently being deployed at stores throughout North America.

We’re seeking a Staff Software Engineer to play a key role in developing Alert’s growing portfolio of robotic products. As part of the growing Vision Systems team, you will have the opportunity to grow your own skills through prototyping novel systems as well as directly contributing to business-critical software. You will have the authority to determine how your career unfolds as well as how your skills are leveraged and expanded.

We want candidates who enjoy collaboration with others—the best work isn’t done in a vacuum, so everyone at Alert contributes to defining our most challenging problems and solution approach.

What you’ll work on:
• Implement, debug, and integrate robust embedded C++ applications to deliver key capabilities to Alert’s growing portfolio of robotic products.
• Help develop a library of advanced features to share among multiple product lines.
• Create prototypes and ultimately turn them into fully-realized products.
• Implement low-level hardware drivers for use by many applications.
• Work with the electrical, mechanical, systems, and safety teams to document and detail software requirements and perform component selection.
• Develop modular, well-documented code.
• Create software acceptance tests.
• Assist with user manuals and software documentation.
• Play an active role in group discussions to share and gain knowledge.
• Investigate, assess, and implement new technologies.

What we’re looking for:
• 6+ years writing software in C++ (modern C++ strongly preferred).
• 3+ years writing software for embedded systems.
• Strong understanding of Internet communications protocols.
• Understanding of multi-threaded software architecture, socket communications and related concepts.
• Familiarity with software configuration management, defect tracking and peer review methodologies.
• Capable power-user of Linux systems.
• Understanding of robotics concepts (sensors, actuators, controls, etc.) and concerns (constrained size weight and power, real-time execution, etc.) is a strong plus.
• Strong skills operating in a primarily Linux-based environment.
• Experience with Atlassian software management suite (JIRA, Confluence) preferred.
• Comfortable working in an agile, collaborative team environment.
• B.S. in Computer Science, Robotics, Computer Engineering, or related area.

What we offer:
• Highly competitive pay for the Boston market in which we’re based
• Great benefits — medical, dental, vision, life insurance, disability, 4% 401K match, flexible spending accounts, HRA’s, and up to 12 weeks of parental leave
• Unlimited paid time off — we encourage Alertians to take time off to re-energize and we trust our team to make choices that work for them and their team
• Company-wide holidays — we take time off as a company and recognize nine holidays throughout the year
• Equity — every full-time employee receives stock options, because you should have an ownership stake in what you build
• Learning & Development — we’ll reimburse tuition and learning opportunities both on and off the job
• Flexible Work Schedules — we offer a flexible work environment inclusive of remote and hybrid work schedules based on team requirements
• Employee Assistance Program — to assist with your emotional health, parenting, eldercare, nutrition, legal, and financial consultation needs
• Food and Fuel — we have the best coffee in the Boston area and it’s roasted by our founder! Lunch is provided daily for our team in the office and our kitchens are fully stocked with snacks and beverages

Learn more about why we were named a 2022 Best Place to Work at alertinnovation.com/careers.

Alert Innovation offers a safe work environment for its employees and partners. All employees, contractors, interns, and visitors are required to be fully vaccinated. Additional COVID precautions, such as wearing face masks, hand washing, and hand sanitizing are also common practices in all Alert Innovation facilities. We are a flexible work environment and offer on-site and hybrid work schedules based on team requirements.

Alert Innovation is proud to be an Equal Employment Opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Apply Here
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