The Role

We're looking for a Machine Learning Engineer with deep computer vision experience to join our ML team.

Contractors capture millions of jobsite photos through CompanyCam every day. As an ML Engineer, you'll turn that visual data into structured understanding — building and shipping computer vision systems that power image classification, document detection, segmentation, multimodal embeddings, and more across 70,000+ projects daily.

This is a small team with outsized reach. You'll own problems end-to-end, from data preprocessing and model training through evaluation and production deployment. You won't be tuning hyperparameters on someone else's model — you'll make architectural decisions and see your work in the hands of real contractors on real jobsites.

Current and near-term problems include segmentation, on-device model deployment, vision-language model integration, and building the evaluation infrastructure to do it all sustainably.

Working At CompanyCam

Our engineering team is remote-first, spanning every time zone in the United States. We welcome people from all backgrounds and really don't care whether or not you have a CS degree or even a high school diploma. All that matters is that you're not a jerk and you're good at what you do.

At CompanyCam we're driven to produce work with meaningful outcomes. That means not just dumping features and "improvements" but being able to reflect and learn from our outputs.

What You'll Do

• Design, train, and deploy computer vision models to production with well-understood performance, latency, and cost characteristics.
• Own the full ML pipeline: data preprocessing, feature engineering, model selection, training, evaluation, and deployment into sustainable inference services.
• Conduct discovery spikes to validate feasibility and inform go/no-go decisions before committing to full development.
• Integrate ML solutions with observability tooling, establishing and maintaining benchmarks to measure improvement and compare approaches.
• Build automated, self-sustaining ML pipelines. Models should train, evaluate, and deploy with minimal manual intervention.
• Inform build-vs-buy decisions with both technical rigor and business context, understanding when in-house models create competitive advantage vs. when vendor APIs are sufficient.
• Collaborate with software engineers, data engineers, and product stakeholders to integrate ML solutions into CompanyCam's platform.
• Communicate clearly with non-technical audiences about feasibility, requirements, and trade-offs of proposed solutions.

What You'll Bring

Must-haves

These are our non-negotiables:

• Show up: give us your best and have the courage to do difficult but necessary stuff.
• Grow up: be humble, take responsibility, learn continuously, and have a growth mindset.
• Do good: treat your co-workers and customers the way you want to be treated.
• 3+ years of experience shipping machine learning models to production (not just training them).
• Experience with computer vision techniques including image classification, segmentation, and object detection.
• Strong coding skills in Python with proficiency in PyTorch or TensorFlow and comfort with modern architectures (transformers, CNNs, etc.).
• Strong SQL skills including joins, subqueries, window functions, and CTEs.
• Proficiency in data analysis, cleaning, transformation, and feature engineering.
• Experience with version control (Git), experiment tracking, and ML development best practices.
• Ability to explain technical concepts to non-technical stakeholders through clear writing and presentations.
• You live and work permanently in the U.S. (We're not set up to hire outside the U.S.).

Nice-to-haves

You'll encounter the following with varying frequency. Experience with them is a plus, but not required:

• Embeddings, vector databases, and similarity search
• On-device model deployment (e.g., Core ML, TensorFlow Lite)
• MLFlow, Weights & Biases, or similar experiment tracking platforms
• Amazon Bedrock or other cloud ML services
• Ruby on Rails or JavaScript/React (for integration work)

Benefits and Compensation

This is a salaried position at CompanyCam. Our salary range is $220,000 - $250,000 per year and is based on experience. We also offer meaningful equity and other benefits.

CompanyCam is an equal-opportunity employer committed to respect, inclusion, and growth. We work hard, take responsibility, and support each other. Great ideas come from all backgrounds, and we carefully consider every applicant without regard to personal characteristics or traits. Even if your work experience doesn’t align perfectly, we encourage you to apply. What really matters to us is your potential, your passion, and your commitment to learning, innovation, and contributing meaningfully to our team.

For any accommodations or technical issues related to the online application or interview process, please email jobs@companycam.com and we’ll respond promptly. Please do not include any medical or health information in your message.

Note: Resumes sent to this email will not be reviewed or responded to. To be considered for a position, you must apply directly through our careers page.

The Role

We're looking for an experienced, thoughtful, and impact-driven Staff Software Engineer (Ruby on Rails) to work within the Core Experience Org, to provide technical leadership across CompanyCam's engineering organization.

As a Staff Software Engineer, your impact goes well beyond a single team. You'll serve as a consolidated go-to for architectural review and mentorship across five product teams — owning the features and systems that sit at the heart of what CompanyCam does: the camera pipeline, checklists, project pages, notifications, search, documents, and more. These are heavily utilized, high-traffic features, and we need someone who thinks deeply about what that means at scale.

While you'll continue to contribute directly to code, your primary focus will be on technical direction, architectural decision-making, and raising the bar for how we build backend systems. You'll float across teams where support is needed, get ahead of technical problems before they surface, and be a trusted resource for the senior engineers doing the day-to-day work.

Most importantly, you'll play a key role in evolving our engineering culture, practices, and systems as we scale, helping us make better decisions, reduce risk, and invest wisely in our platform, developer experience, and people.

Working At CompanyCam

Our engineering team is remote-first, spanning every time zone in the United States. We welcome people from all backgrounds and really don't care whether or not you have a CS degree or even a high school diploma. All that matters is that you're not an a**hole and you're good at what you do.

At CompanyCam we’re driven to produce work with meaningful outcomes. That means not just dumping features and “improvements” but being able to reflect and learn from our outputs. We’re actively working to center our work on continuous discovery habits (CDH) as outlined by Teresa Torres.

Our teams are made up of a product manager, a product designer, a tech lead and an appropriate number of engineers for the scope of your team. Rather than being overly prescriptive, we provide guardrails and just enough constraints to keep teams moving. Each team is expected to collaborate, iterate, and refine their best practices to produce high-quality work.

What You’ll Do

• Provide technical leadership and architectural guidance across five Core product teams, serving as the primary backend staff engineer for this area of the product.
• Float across teams where support is needed: stepping in on high-priority projects, unblocking engineers, and ensuring work gets over the line without dropping the thread on your broader responsibilities.
• Design, evolve, and support backend systems and architecture primarily in Ruby on Rails, PostgreSQL, REST, and related technologies, with a focus on performance and reliability at scale.
• Get ahead of technical problems — proactively identifying, forecasting, and mitigating risk before it becomes someone else's emergency.
• Ensure strong observability across Core systems, including Datadog dashboards, monitoring, and alerting.
• Influence long-term technical strategy, balancing short-term delivery with platform health, scalability, and sustainability.
• Create clarity around technical decisions, trade-offs, and direction in ambiguous or high-impact situations.
• Set and uphold high standards for code quality, security, privacy, observability, and documentation through direct contribution, review, and mentorship.
• Mentor senior backend engineers and, over time, help frontend-focused engineers build stronger Ruby on Rails skills.
• Act as a force multiplier, enabling teams and individuals without overshadowing or sidelining others.

What You’ll Bring

Must-haves

These are our non-negotiables:

• Show up: Have the courage to do difficult but necessary work.
• Grow up: Take ownership, learn continuously, and bring a growth mindset.
• Do good: Treat your teammates and customers the way you'd want to be treated.
• Extensive professional experience building and leading software systems (typically 15+ years, but we value impact over years).
• Deep, hands-on proficiency in Ruby on Rails (minimum 7 years)
• Strong object-oriented programming fundamentals and backend system design.
• Experience designing and operating systems using PostgreSQL and REST APIs in high-traffic production environments.
• Familiarity with cloud-hosted infrastructure, including AWS.
• Strong independent judgment and the ability to navigate complex, ambiguous problems proactively, not reactively.
• Ability to communicate technical ideas clearly and empathetically to a wide range of audiences, including product managers, designers, and non-technical partners.
• Demonstrated experience mentoring engineers and influencing technical decisions across teams.
• You share context freely, create clarity, and build trust — hoarding information is a non-starter here.
• You live and work permanently in the U.S. (We're not set up to hire outside the U.S.).

Nice-to-haves

You’ll encounter the following technologies and concepts with varying frequency — experience with them is a plus, but not required:

• AWS (S3, EC2, etc.)
• Observability and monitoring systems
• Datadog and database design at scale
• Infrastructure as Code
• Feature flagging systems
• GraphQL
• React
• React Native
• Experience evaluating or integrating AI / LLM-powered tools and systems

Benefits and Compensation

This is a salaried position at CompanyCam. Our salary range is $190,000 - $210,000 per year and is based on experience. We also offer meaningful equity and other benefits.

CompanyCam is an equal-opportunity employer committed to respect, inclusion, and growth. We work hard, take responsibility, and support each other. Great ideas come from all backgrounds, and we carefully consider every applicant without regard to personal characteristics or traits. Even if your work experience doesn’t align perfectly, we encourage you to apply. What really matters to us is your potential, your passion, and your commitment to learning, innovation, and contributing meaningfully to our team.

For any accommodations or technical issues related to the online application or interview process, please email jobs@companycam.com and we’ll respond promptly. Please do not include any medical or health information in your message.

Note: Resumes sent to this email will not be reviewed or responded to. To be considered for a position, you must apply directly through our careers page.

The Role

We’re looking for a sharp, self-motivated, problem-solving Senior Infrastructure Engineer to join our team.

As a Senior Infrastructure Engineer, you’ll work with a small team to build solutions in AWS that keep CompanyCam’s web and mobile applications humming. You’ll collaborate with product engineers to deploy new features and improve our existing infrastructure to make it more reliable, resilient, and secure.

You'll bring depth in one or more of the following: database operations and performance tuning, search infrastructure (OpenSearch/Elasticsearch), or observability and monitoring. You'll help us scale and harden the systems that underpin CompanyCam's products as we grow.

If you have strong Infrastructure skills and experience in another area, we’d love to talk.

Working At CompanyCam

Our engineering team is remote-first, spanning every timezone across the U.S. We welcome all backgrounds and value capability over credentials; whether you have a CS degree, a high school diploma, or no diploma at all, if you’re skilled and collaborative, you’re welcome here.

We partner with product teams who work in synchronized multi-week cycles with dedicated planning phases. Our team actively collaborates with these product teams while ensuring smooth operation and continuous improvement of our production systems. We share weekly updates to track goals and maintain alignment, while giving you the flexibility to manage your work in the way that works best for you.

Meetings are purposeful and few. We champion a healthy work environment where you can focus on quality work during your 8-hour day and then log off. Nights and weekends are for you, not for work.

What We Ask Of You

Must-haves

These are our non-negotiables:

• Show up: give us your best and have the bravery to do difficult but necessary stuff.
• Grow up: take responsibility, learn continuously, and have a growth mindset.
• Do good: treat your co-workers and our customers the way you want to be treated.
• Strong knowledge of AWS, including its networking, relational database management and cloud storage services.
• Experience operating and tuning PostgreSQL or similar relational databases in production
• Experience deploying containerized applications and working with Github Actions and Terraform.
• Capable of scripting in bash, ruby and/or python.
• Able to break down a complex task and document its solution
• Understands how to analyze an existing system to identify improvements
• Experience with AWS ECS/EKS Fargate
• Experience operating or tuning OpenSearch/Elasticsearch clusters
• Be technically savvy and hungry to learn.
• Reside permanently and currently somewhere in the U.S. Alas, we're not set up to hire outside of the U.S.

Nice-to-haves

Day to day, you’ll spend most of your time designing, improving and deploying infrastructure services to AWS. You’ll be able to have even more impact if you have expertise in one or more of the following:

• Datadog, Grafana, OpenTelemetry
• PGBouncer or similar connection pooling tools
• AWS Fargate, Aurora PostgresSQL or OpenSearch
• Designing systems for high availability and resiliency
• Experience using AI/LLM tools to improve infrastructure or engineering workflows
• Producing and presenting educational content of technical concepts

Benefits & Compensation

This is a salaried/hourly position at CompanyCam. Our starting salary range is $175,000 -$185,000 per year and is based on experience. We also offer meaningful equity and other benefits.

CompanyCam is an equal-opportunity employer committed to respect, inclusion, and growth. We work hard, take responsibility, and support each other. Great ideas come from all backgrounds, and we carefully consider every applicant without regard to personal characteristics or traits. Even if your work experience doesn’t align perfectly, we encourage you to apply. What really matters to us is your potential, your passion, and your commitment to learning, innovation, and contributing meaningfully to our team.

For any accommodations or technical issues related to the online application or interview process, please email jobs@companycam.com and we’ll respond promptly. Please do not include any medical or health information in your message.

Note: Resumes sent to this email will not be reviewed or responded to. To be considered for a position, you must apply directly through our careers page.