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Applied ML Research Engineer
Genius is VERSES' agentic enterprise intelligence platform, providing reliable predictions and smarter decisions by modeling causal relationships in complex systems.
Education Requirements:
Master's degree in a quantitative field
Experience Requirements:
Experience in applying Bayesian techniques
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Manager, Solutions Engineering, Verticals
On3 is an AI-powered mobile training app for frontline teams, empowering them to capture, create, and share real-world knowledge instantly from the job site.
Benefits:
Mental health, wellness & fitness benefits
Career coaching & support
Inclusive family building benefits
Long-term savings or retirement plans
In-office culinary options to cater to your dietary preferences
Experience Requirements:
3+ years of demonstrated success as a manager of a Solutions/Sales Engineering team at a B2B SaaS company
5+ years as a Solutions Engineer in Healthcare & Life Sciences, Financial Services, State & Local Governments, or Higher Education prior to management.
Deep understanding of AI agent workflows and their application to compliance needs in regulated industries.
Experience scaling teams during high-growth periods, attracting, hiring, growing, and retaining top Solutions Engineering talent.
Skilled in navigating complex enterprise deals with multiple stakeholders, coaching on deal strategy, and addressing technical challenges.
Other Requirements:
Exceptional communicator with proven operational excellence and the ability to create new processes and analytical frameworks to track team goals.
Results-oriented, data-driven leader with a proactive approach to identifying and addressing business opportunities in a high-growth environment.
Ability to travel periodically to meet customers as needed.
Responsibilities:
Build and retain a high-performing team of Solutions Engineers through recruitment, coaching, and professional development, fostering expertise in AI agent workflows.
Leverage your industry knowledge to provide hands-on strategy, technical coaching, and demo excellence, driving success for enterprise accounts.
Enhance Solutions Engineering efficiency by developing processes and analytical tracking to monitor team goals and performance metrics.
Partner with the AMER Solutions Leadership to shape the vision for a growing Solutions Engineering team and contribute to the enterprise playbook.
Collaborate cross-functionally with Sales, Product, Engineering, Security, Marketing, and Customer Success to align AI agent workflows with industry compliance requirements.
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Sr. Engineering Manager
On3 is an AI-powered mobile training app for frontline teams, empowering them to capture, create, and share real-world knowledge instantly from the job site.
Benefits:
Comprehensive Medical, Dental, and Vision plans with a 100% employer-paid monthly premium option for employees & 50% employer-paid monthly premiums for dependents
Health Savings Account with company contribution for eligible medical plans
Flexible Vacation Plan
10 Paid Company Holidays
100% employer-paid Life, AD&D and Short- and Long-Term Disability Insurance
Experience Requirements:
A minimum of 10 years of experience in software engineering is a must
at least 4 years in an engineering leadership role is required
Expert knowledge of Cloud Software Development and concepts
Experience in iOS/Android app development using the latest frameworks
Experience with FullStack apps, DevOps, and database technologies, patterns, and architectures
Other Requirements:
Deep empathy for our internal and external customers with a demonstrated record of delivering high-quality software in a timely manner
Ambitious and resourceful; results-oriented; highly innovative. Focused on business value creation through innovation
Highly analytical, data-driven mindset; holds self and others accountable with measurable ROI-oriented KPIs
Responsibilities:
Lead, mentor, and grow a team of talented software engineers, promoting a culture of rapid innovation, continuous improvement, and efficiency
Work collaboratively with Product Management on the roadmap, ensuring that the timelines proposed are realistic based on the likely technical approach to executing the underlying requirements.
Be the vocal champion for the engineering team in proposing candidates for inclusion on the product and technology roadmap. Ensure that risks associated with tech debt are clearly communicated to stakeholders outside of the engineering team.
Oversee the software engineering function for all software properties and customer-facing assets, including managing the software engineering sprint cycles
Act as a scrum master for pods and help unblock engineers as needed.
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Technical Partner Enablement Lead
Mistral AI is a pioneering French artificial intelligence startup offering configurable, enterprise-grade frontier AI models and solutions for all builders.
Benefits:
Competitive salary and equity.
Healthcare: Medical/Dental/Vision covered for you and your family.
Pension : 401K (6% matching)
PTO : 18 days
Transportation: Reimburse office parking charges, or $120/month for public transport
Experience Requirements:
5+ years of technical experience, with significant time spent in working with AI systems, LLM’s and other related ecosystem components.
Experienced presenter or speaker with a track record of delivering enablement sessions
Worked with systems integrators or technology companies ecosystems extensively
Strong understanding of AI/ML concepts and advanced implementations
Proven success driving partner technical engagement and technical adoption
Other Requirements:
Can create compelling technical demonstrations and reference implementations
Skilled at leading hands-on technical sessions and workshops
Led successful technical hackathons and workshops
Created and hosted technical podcasts or video content
Experience creating high-quality technical content across multiple formats
Travel 20-30% of the time for conferences, hackathons, and partner events
Responsibilities:
Create and deliver workshops and presentations at major technical conferences around the world
Develop and present technical content for developer podcasts and video series
Create compelling technical demonstrations and reference implementations
Design and deliver sophisticated technical training programs for partner engineering teams
Help develop and deliver technical hackathons, partner technical workshops, and hands-on sessions.
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Product Marketing Intern (Contractor)
Versational is an AI-powered meeting intelligence tool that captures insights, generates summaries, and automates tasks, integrating seamlessly with your tech stack.
Benefits:
intensive, hands-on apprenticeship in the world of AI
gain multidisciplinary skills that will launch your career
unparalleled training and mentorship
Direct Mentorship from seasoned experts
work in a flexible, inclusive environment
Education Requirements:
A background in marketing/sales, communications, product management or related field
Experience Requirements:
A foundational understanding of AI concepts & use cases (GenAI, AI agents)
Experience creating content (written or AI video) and managing websites (like Webflow)
Other Requirements:
Excellent writing and organizational skills and a strong work ethic
A plus for any experience with Python, technical writing or project management
curious, organized and self-motivated individual who is passionate about the future of AI
Responsibilities:
Develop and execute creative marketing campaigns for our open-source AI, using growth hacking tactics to expand our reach
Command our digital presence by creating compelling content, from blog posts and white papers to videos and social media campaigns, all optimized for GenAI search
Collaborate directly with our engineering team to test and build AI agents, turning technical features into powerful marketing stories
Onboard new clients, create training materials and ensure they get the most out of our AI solutions
Take the first steps in building and engaging with our future open-source community on platforms like GitHub and Discord
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Customer Success Associate
eSpark is a playfully personalized supplemental curriculum for PreK-8 reading, writing, and math, engaging students with tailored lessons based on their interests and real-time responses.
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Sizzle Sparks Marketing Internship - Summer 2025
Sizzle is an AI-powered learning app that breaks down any topic into key skills, helping students master concepts with bite-sized exercises and adaptive learning.
Benefits:
Hands-on marketing experience with tangible outcomes working at a real world project
Resume-worthy AI startup exposure founded by leading AI experts
Letter of completion and/or recommendation from the company upon satisfactory completion of the program
Performance-based stipend
Education Requirements:
US College students with 3.0+ GPA
Experience Requirements:
Creative, ambitious and motivated college students looking to gain real world work exposure at a high tech/AI company
Interested in learning and applying marketing principles
Passionate about doing well as a student
Interested in helping others succeed
Active in student groups, social, or academic circles
Other Requirements:
Right to work in the US
Responsibilities:
Help promote Sizzle to your peers and the broader student audience through a structured marketing program
Apply real-world marketing principles (social media, word-of-mouth, grassroots outreach) to drive measurable outcomes
Create & share learning and study-related content using the Sizzle app
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GTM Engineer
Cargo is an AI platform providing AI Agents to automate go-to-market tasks, including lead qualification, prospect engagement, and opportunity conversion for GTM teams.
Experience Requirements:
Most impactful result your GTM work has driven
Number of tables you have built
Most expensive table you ran and why it was expensive
Experience building in-house or for others
Other Requirements:
Share your LinkedIn profile
Share a <5-minute Loom video of a Clay workflow you've built, explaining why and how it was built, and why you chose to send this workflow over another
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Customer Success Manager
Research Solutions is a comprehensive suite equipping researchers with verifiable evidence, streamlined literature access, and AI tools for modern R&D.
Benefits:
Competitive salary
Comprehensive benefits package
Opportunities for professional development
Opportunities for career growth
Experience Requirements:
5+ years of experience in a Customer Success, Account Management, or Account Executive role within a SaaS or technology-driven environment
Proven track record of managing customer relationships, renewals, and account growth
Other Requirements:
Strong consultative selling skills with the ability to influence and drive outcomes
Experience working with CRM and customer success platforms (e.g., Gainsight, HubSpot, Salesforce)
Excellent communication, presentation, and negotiation skills
Ability to analyze customer data and translate insights into actionable strategies
Highly organized, detail-oriented, and proactive in managing multiple accounts
Experience working with enterprise customers and navigating complex organizational structures is a plus
Residency in one of the following states: CT, FL, GA, IL, IN, KY, MA, MI, MN, NY, PA, RI, TX, VA, WI
Responsibilities:
Serve as the primary point of contact for assigned accounts, ensuring a seamless customer journey.
Drive customer engagement, adoption, and retention through proactive outreach and strategic touchpoints.
Develop a deep understanding of each customer’s business objectives and align our solutions to their needs.
Monitor customer health scores and usage data to anticipate risks and opportunities.
Conduct regular business reviews to showcase value, collect feedback, and identify areas for optimization.
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Junior QA Analyst
Research Solutions is a comprehensive suite equipping researchers with verifiable evidence, streamlined literature access, and AI tools for modern R&D.
Education Requirements:
Bachelor’s degree in Computer Science or a related field
Experience Requirements:
2-3 years of experience in a QA role, with demonstrated proficiency in functional testing, defect tracking, and reporting
Other Requirements:
Excellent problem-solving and analytical skills
Ability to learn quickly and work independently
Advanced English communication skills, both written and verbal
Strong familiarity with Software Development Lifecycle (SDLC) methodologies, including both Waterfall and Agile
ISTQB Foundation Level certification is a plus
Must be based in Mexico
Responsibilities:
Collaborate closely with stakeholders to understand business requirements and design comprehensive test cases.
Conduct functional and regression testing to identify and address potential issues.
Track and register defects, collaborating with the development team to ensure timely resolution (defect lifecycle).
Retest applications after bug fixes to confirm effective resolution.
Provide daily status updates to team leaders and project stakeholders.
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Client Solutions Librarian
Research Solutions is a comprehensive suite equipping researchers with verifiable evidence, streamlined literature access, and AI tools for modern R&D.
Benefits:
Competitive salary
Comprehensive benefits package
Opportunities for professional development
Opportunities for career growth
Education Requirements:
Master’s degree in Library and Information Science (MLIS) preferred
Experience Requirements:
2+ years of experience in a library, academic support, or SaaS customer-facing role
Other Requirements:
Strong understanding of library technologies, digital resources, and usage analytics (e.g., COUNTER, SUSHI, Excel, Tableau)
Exceptional communication, instructional, and problem-solving skills in virtual settings
Proven ability to manage multiple priorities independently in a fully remote environment
Residency in one of the following states: CA, CT, FL, GA, ID, IL, IN, KY, MA, MD, MI, MN, NY, PA, RI, TX, UT, VA, WI
Responsibilities:
Create and deliver customized usage and engagement reports for key institutional clients, providing actionable insights to support strategic decision-making.
Analyze platform usage trends to support contract renewals, increase adoption, and align with client goals.
Partner with Sales, Product, and Customer Success teams to ensure reports meet the unique needs and priorities of each client.
Lead virtual onboarding sessions for new institutional clients, guiding them through system setup, configuration, and platform functionality.
Design and deliver engaging training experiences, including live webinars, asynchronous tutorials, and instructional guides for librarians, faculty, and administrators.
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Customer Success Manager (CSM)
Exer is a Clinical AI platform that converts motion into actionable insights for precision care, offering objective, real-time assessments without wearables.
Benefits:
Competitive compensation and benefits
Monthly Gym Stipend
Flexible PTO Policy
Paid Parental Leave
Medical, Dental and Vision Insurance
Experience Requirements:
3–5+ years of Customer Success experience
Proven track record managing complex, high-stakes customer relationships
Startup or early-stage growth experience
Familiarity with healthcare workflows or clinician-facing technology
Experience with HubSpot, Metabase, or similar platforms
Other Requirements:
Strong communicator and problem solver — able to handle escalations and build trust under pressure
Self-starter with clear, confident communication skills; able to work independently and keep the VP of Customer Success and internal teams informed
Comfortable in ambiguity; brings a builder’s mindset, effective collaboration, and a bias for action
Comfortable traveling to support customers as needed
Responsibilities:
Serve as the day-to-day point of contact for assigned accounts
Build strong relationships with clinical, operational, and administrative stakeholders
Deliver high-touch support, including in-person presence at onboarding, training, and key launch milestones
Conduct regular check-ins and training sessions and create customer-facing materials
Identify and surface customer risks, usage trends, and potential growth opportunities
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Strategic Account Executive
Tribe AI builds custom AI solutions for enterprises, accelerating delivery from idea to production in months and ensuring real business value.
Benefits:
Competitive Salary
Equity package
Health insurance
Unlimited Vacation time
Experience Requirements:
5+ years of experience in enterprise sales with a focus on selling services to large enterprises
Experience selling AI technologies and/or backend infrastructure/cloud services
Proven success in meeting or exceeding sales quotas in an enterprise sales role
Strong understanding of technical sales cycles, particularly in the AI, infrastructure and/or cloud sectors
Excellent communication, negotiation, and relationship-building skills
Other Requirements:
Direct work experience within an early stage startup
Track record of going above and beyond the role to support the growth and success of the company (building processes, enablement, etc.)
Frequently traveling to see clients and partners (~2X per month)
Responsibilities:
Lead the entire sales cycle, from prospecting and presenting to negotiating and closing
Identify and engage prospective clients in large enterprises, focusing on AI services, backend infrastructure, and cloud-based solutions
Develop strategic account plans and tailor solutions to meet client-specific needs
Build and nurture long-term client relationships, acting as a trusted advisor
Collaborate with internal teams (e.g., product, fulfillment) to align client needs with service and platform offerings
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Sr. AI Data Engineer
Turnitin is an AI writing detection solution for educators, reliably distinguishing between AI- and human-written text, specialized for student writing and academic integrity.
Benefits:
Remote First Culture
Health Care Coverage*
Education Reimbursement*
Competitive Paid Time Off
4 Self-Care Days per year
Experience Requirements:
At least 4 years of experience in data engineering, ideally focused on AI/ML data infrastructure or enabling and accelerating AI R&D
Strong proficiency in Python, SQL, and Infrastructure as Code (Terraform, CloudFormation), with additional experience in modern orchestration frameworks (Airflow, Prefect, or dbt)
Proficiency with cloud-native data platforms (AWS, Azure, GCP) and vector databases (Pinecone, Weaviate, Qdrant, or Chroma)
Experience with MLOps tools and platforms (HuggingFace, SageMaker Bedrock, Vertex AI), experiment tracking (MLflow, Weights & Biases), and model deployment pipelines
Experience with Large Language Models (LLMs), embedding generation, retrieval-augmented generation (RAG) systems, and frameworks for orchestrating LLM interaction (LiteLLM, LangFuse, LangChain, LlamaIndex)
Other Requirements:
Strong problem-solving, analytical, and communication skills, with the ability to design scalable AI data systems and collaborate effectively in cross-functional teams
Responsibilities:
AI Data Infrastructure & Pipeline Management for Applied AI: Design, build, and operate scalable real-time data pipelines that support ongoing Applied AI model training. Deploy and maintain robust data infrastructure using AI techniques and engineering best practices to ensure continuous model improvement and deployment cycles.
Data Collection: Execute initiatives for collecting, normalizing, and storing data across multiple sources, including external LLM providers.
Collaboration: Partner with AI R&D, Applied AI, and Data Platform teams to ensure seamless data flow and quality standards. Partner with stakeholders to collect, curate, and catalog high-quality datasets that directly support Applied AI retraining workflows and business objectives.
AI R&D Support: Provide secondary support to AI Research & Development efforts by applying advanced data warehousing and engineering technologies. Contribute to exploratory data initiatives that uncover insights from Turnitin's extensive data resources.
Communication: Maintain clear communication channels across teams, ensuring alignment with company vision while sharing insights on data infrastructure needs and potential innovations.
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Senior Machine Learning Scientist
Turnitin is an AI writing detection solution for educators, reliably distinguishing between AI- and human-written text, specialized for student writing and academic integrity.
Benefits:
Remote First Culture
Health Care Coverage*
Education Reimbursement*
Competitive Paid Time Off
4 Self-Care Days per year
Education Requirements:
Master's degree or PhD in Computer Science, Electrical Engineering, AI, Machine Learning, applied math or related field, with relevant industry experience, or outstanding previous achievements in this role
A Computer Science background is required as opposed to statistics or pure mathematics
Experience Requirements:
Experience working with text data to build Deep Learning and ML models, both supervised and unsupervised
Software engineering background with at least 8 years of experience (we use Python, SQL, Unix-based systems, git, and github for collaboration and review)
Machine / Deep Learning development skills, including experiment tracking (we use AWS SageMaker, Hugging Face, transformers, PyTorch, scikit-learn, Jupyter, Weights & Biases)
Other Requirements:
A strong understanding of the math and theory behind machine learning and deep learning
An understanding of Language Models, using and training / fine-tuning and a familiarity with industry-standard LM families
Excellent communication and teamwork skills
Fluent in written and spoken English
Responsibilities:
Work with subject matter experts and product owners to determine what questions should be asked and what questions can be answered.
Work with subject matter experts to curate, generate, and annotate data, and create optimal datasets following responsible data collection and model maintenance practices.
Answer questions and make trainable datasets from raw data, using efficient SQL queries and scripting languages, visualizing when necessary.
Develop and tune Machine Learning models, following best practices to select datasets, architectures, and model parameters.
Utilize, adopt, and fine-tune Language Models, including third-party LLMs (through prompt engineering and orchestration) and locally hosted LMs.
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Senior Machine Learning Scientist - Applied Research
Turnitin is an AI writing detection solution for educators, reliably distinguishing between AI- and human-written text, specialized for student writing and academic integrity.
Benefits:
Remote First Culture
Health Care Coverage*
Education Reimbursement*
Competitive Paid Time Off
4 Self-Care Days per year
Education Requirements:
Master's degree or PhD in Computer Science, Electrical Engineering, AI, Machine Learning, applied math or related field or outstanding previous achievements demonstrating excellence in Deep Machine Learning, Computer Science and Software Engineering
Experience Requirements:
At least 5 years of industry experience in Machine / Deep Learning (we use the python ecosystem for ML), Computer Science and Software Engineering
Other Requirements:
A strong understanding of the math and theory behind machine learning and deep learning is a prerequisite
Academic publications in peer reviewed conferences or journals related to Machine Learning - preferably A/A+ rated such as NeurIPS, ICML, ICLR, AAAI, TMLR, JMLR, IJCAI, ICANN, KDD, ACL, EMNLP, NAACL, COLING, CVPR, ICCV, ECCV, IEEE etc.
Machine / Deep Learning development skills, including popular platforms (we use AWS SageMaker, Hugging Face, Transformers, PyTorch, PyTorch Lightning, Ray, scikit-learn, Jupyter, Weights & Biases etc.)
An understanding of Language Models, using and training / fine-tuning and a familiarity with industry-standard LM families
Excellent communication and teamwork skills
Fluent in written and spoken English
Responsibilities:
Research and develop production grade Machine Learning models as described above. Optimize models for scaled production usage.
Work with colleagues in the AI team, other Engineering teams, subject matter experts, Product Management, Marketing, Sales and Customer support to explore ongoing product issues, challenges and opportunities and then recommend innovative ML/AI based solutions.
Help out with ad-hoc one-off tasks as a team player within the AI team.
Work with subject matter experts to curate and generate optimal datasets following responsible data collection and model maintenance practices. Explore and access SQL, no-SQL and web data and write efficient parallel pipelines. Review and design datasets to ensure data quality.
Investigate weaknesses of models in production and work on pragmatic solutions.
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FP&A Analyst
Mozn is a pioneering AI company that specializes in developing advanced AI products and solutions, tailored for the MENA market, empowering enterprises with data-driven insights.
Benefits:
You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.
You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.
The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best
You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.
We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.
Education Requirements:
Bachelor’s degree in Accounting or any related field.
Experience Requirements:
3- 5 years of experience in a similar role.
Other Requirements:
Strong proficiency in financial modeling.
Advanced knowledge of Excel and financial software (e.g., ERP systems, BI tools)
Strong analytical and problem-solving skills, with the ability to interpret complex financial data.
Proficient in conducting and presenting research results.
Ability to work well under pressure and meet tight deadlines.
Self-motivated and capable of working independently with minimal supervision.
Excellent written and verbal communication skills.
Demonstrates integrity and professionalism.
CMA,CFA ,AFM,FMVA is preferable
Responsibilities:
Work closely with cross-functional teams, including accounting, operations, and sales, to gather relevant data and insights.
Provide financial analysis and support for special projects and initiatives as requested by senior manage-ment.
Manage and control the internal approval process for both budget submissions and actual consumption within the FP&A team, ensuring full alignment with budget limits before requests are escalated to the pro-curement team.
Ensure adherence to budgetary guidelines and company policies.
Engage in the annual budgeting process, collaborating with various departments to set realistic financial targets.
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Account and Project Manager
Creatify is an AI video ad maker that helps brands create, test, and optimize high-performing video ads instantly from any product link or asset.
Experience Requirements:
Proven track record of managing creative projects, ideally in the advertising or marketing industry, with a focus on video production and AI-driven solutions.
Previous experience in an advertising agency or creative environment, with expertise in client relations and creative processes.
Strong ad agency background
Other Requirements:
Excellence, collaboration, and strong team player and leadership.
Highly dependable and requires minimal supervision.
Excellent Communication Skills
Knowledge of the Tools. Ideally has experience using any of the following tools: Linear, Slack, Frame.io, G-Suite, Canva, Capcut, etc.
Strong interest in AI. Staying current with industry trends while demonstrating strong adaptability in dynamic tech environments.
Responsibilities:
Project Coordination: Oversee the planning, execution, and delivery of creative video ad projects, ensuring all tasks are completed on time and within scope.
Team Management: Lead and manage cross-functional teams, including creative, design, and production, to ensure seamless collaboration and high-quality output.
Client Liaison: Serve as the primary point of contact for clients, managing relationships, addressing concerns, and ensuring client expectations are met.
Resource Allocation: Effectively allocate creative resources, ensuring the right talent is assigned to projects to optimize efficiency and quality.
Process Optimization: Implement and refine project management processes to enhance workflow, improve project delivery times, and maintain quality standards.
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3D Graphics Software Engineer
Reveal Technology is a defense and public safety tech company that builds AI-powered products like Farsight and Identifi to accelerate human decisions and ensure mission success.
Benefits:
Medical, Dental, Vision coverage
Parental Leave
HSA/FSA options
401(k): 200% match for the first 6% contributed
Unlimited Paid Time Off
Experience Requirements:
5+ years experience writing production code
Expert knowledge of the Unity game engine
Expert knowledge of C# and the .NET ecosystem, including multithreading, large amounts of abstraction, memory management, unit testing, and performance optimization
Experience working with low-level 3D graphics pipelines
Experience with building cross-platform applications for desktop, mobile, and web using a variety of UI platforms
Other Requirements:
Strong problem-solving skills and attention to detail
Ability to work independently and as part of a collaborative team
Responsibilities:
Write clean, efficient code for realtime 3D graphics applications
Write and oversee code quality, test automation, development standards, and best practices, ensuring robust, clean, and maintainable codebases
Write design documents for product features and application architecture
Collaborate with cross-functional teams to implement and optimize frontend solutions
Participate in code reviews and provide constructive feedback to team members
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Android Developer
Reveal Technology is a defense and public safety tech company that builds AI-powered products like Farsight and Identifi to accelerate human decisions and ensure mission success.
Benefits:
Medical, Dental, Vision coverage
HSA/FSA options
Parental Leave
401(k): 200% match for the first 6% contributed
Unlimited Paid Time Off
Experience Requirements:
5+ years of experience in Android development using native tools
Expert familiarity with Kotlin and Java
Experience with OpenSource
Working knowledge of cryptographic and security principles
Can manage your own productivity in an asynchronous, fully remote environment
Other Requirements:
Willingness to learn new technologies and tools as needed, and to read and refactor code to make it better, even if it's not your own.
Responsibilities:
Develop Android native applications using Kotlin, including leading development of features for our Identifi biometrics product
Maintain Reveal’s suite of ATAK plugins and integrations with our core products
Work closely with SDK vendors to integrate functionality
Provide Android expertise to the rest of the engineering team when working on Android-specific projects and issues
Advocate and drive user experience, security, and performance
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