Engineering Journal Jobs in Austin Tx Remote

411 positions found — Page 8

Technical Product Manager (Data Analytics)
✦ New
🏢 Nexwave
Salary not disclosed
Austin, TX 1 day ago

Role : Technical Product Manager ( Data Analytics )

Location - Austin, TX (Onsite) - only Local to Texas (other states don't apply)

Exp Req : 10+


Rate : $55/Hr on W2 Max


Skills Mandatory :

1, Marketing Data Analysis knowledge.

2, KPI and metrics definition on Marketing Data. Mainly for media product.

3, Instrumentation knowledge and through process.


Original JD:

  • Key Qualification 7+ years of experience in a Data Visualization, Data Scientist, or Data Analyst role, preferably for a digital subscription business.
  • Strong proficiency with SQL-based languages is required. Experience with large-scale data technologies such as Hadoop, PySpark
  • Proficiency with data visualization tools such as Tableau, , and/or MicroStrategy for analysis, insight synthesis, data product delivery, and executive presentation.
  • You have a curious business mindset with an ability to condense complex concepts and analysis into clear and concise takeaways that drive action.
  • Excellent communication, social, and presentation skills with meticulous attention to detail.
  • Strong time management skills with the ability to handle multiple projects with tight deadlines and executive visibility.
  • Be known for successfully bridging analytics and business teams, with an ability to speak the language of both.

Job Description :

  • Build dashboards, self-service tools, and reports to analyze and present data associated with customer experience, product performance, business operations, and strategic decision-making.
  • Create datasets, Develop global dashboards, data pipelines, sophisticated security controls, and scalable ad-hoc reporting
  • Closely partner with our Data Science team to define metrics, datasets, and automation strategy
  • Engage with Product, Business, Engineering, and Marketing teams to capture requirements, influence how our services are measured, and craft world-class tools to support those partners.
  • Establish a comprehensive roadmap to communicate and manage our commitments and stakeholder expectations while enabling org-wide transparency on progress.
  • Focus on scale and efficiency - create and implement innovative solutions and establish best practices across our full scope of delivery
  • Education Minimum of a Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or related field. Technical Product Management


Key Qualifications :

  • Experience in a Technical Product Management role, preferably for a digital-media or subscription business.
  • Knowledge of Client-Server metrics logging strategies as well as data architecture required for analysis
  • Hands-on experience with the end-to-end data lifecycle across petabyte-scale technologies
  • Prior experience in a technical role (preferably as a data analyst or engineer), delivering data insights to stakeholders
  • Strong experience designing and driving product strategy cross-functionally, collaborating with partners of various technical levels.


Nice to have :

• Experience in data-related programming languages (e.g. SQL, PySpark, Python, or R)


Description :

  • Data is our product. We are looking for a self-starting, upbeat individual with excellent communication skills who is passionate about managing and developing critical datasets to maximize Data Science capabilities. You should have a strong interest in driving large-scale data products, engaging with key business stakeholders, and driving critical communications throughout the business.


Stephen

Lead Talent Acquisition Specialist

Email :

Not Specified
Senior Vice President Operations
✦ New
Salary not disclosed

Confidential Search: SVP, Operations & Supply Chain


We are partnering with a rapidly scaling, private equity-backed infrastructure and industrial solutions company to identify a Senior Vice President of Operations & Supply Chain. This is a pivotal leadership hire that will play a central role in building a scalable, integrated operating model to support significant organic growth and acquisition activity.

This organization delivers engineered, modular systems and lifecycle services to a highly fragmented and underserved market, with a strong emphasis on speed, standardization, and long-term customer value.


The Opportunity

The SVP of Operations & Supply Chain will oversee assembly operations, supply chain, procurement, logistics, warehousing, and distribution, while helping define the company’s long-term operating strategy.

This leader will be responsible for:

  • Scaling operations to support rapid growth and increasing demand
  • Building a best-in-class supply chain and procurement function
  • Designing and implementing a distribution and fulfillment network
  • Driving make vs. buy strategy and optimizing internal vs. outsourced capabilities
  • Supporting the evolution toward a recurring revenue and lifecycle services model
  • Leading capacity planning, cost optimization, and margin expansion initiatives
  • Partnering cross-functionally to build a unified, “one-company” operating model


Key Priorities

  • Establish a scalable end-to-end supply chain infrastructure
  • Enhance assembly operations and modular production strategy
  • Build out logistics, warehousing, and distribution capabilities
  • Strengthen supplier management and global sourcing strategies
  • Implement systems, processes, and KPIs to support operational visibility and decision-making
  • Support integration of future acquisitions and expansion into new markets


Lean Enterprise Leadership (Highly Valued)

Given the company’s focus on modular standardization, rapid deployment, and scalable operations, experience with Lean Enterprise principles is highly valued.

Leaders with a Lean background bring the ability to:

  • Drive efficiency and reduce waste across assembly, supply chain, and field operations
  • Transition operations from a project-based model to a more standardized, repeatable system
  • Improve speed to market, quality, and overall cost of delivery
  • Establish standardized work, flow optimization, and continuous improvement (Kaizen)
  • Build a culture of operational discipline, accountability, and performance management


This capability is particularly impactful in supporting modular production systems, faster deployment cycles, and scalable service operations, all of which are critical to the company’s long-term growth and profitability.


Ideal Background

We are seeking a hands-on, strategic operator who has built and scaled operations in a high-growth, multi-site, or project-based environment.

Strong candidates will bring:

  • 15+ years of progressive leadership experience across operations, manufacturing/assembly, and supply chain
  • Experience building or transforming supply chain, procurement, and logistics functions
  • Background in engineered products, industrial systems, modular construction, or infrastructure-related environments
  • Demonstrated success in scaling operations within a private equity or high-growth setting
  • Experience with make vs. buy decisions, outsourcing strategy, and supplier development
  • Exposure to global operations or international supply chains
  • Strong financial acumen with a focus on cost structure, working capital, and margin improvement
  • Experience implementing Lean, continuous improvement, or operational excellence frameworks preferred


Why This Role

  • Opportunity to shape the operating backbone of a company with significant growth ambitions
  • Direct visibility to executive leadership and investors
  • Broad scope across operations, supply chain, and distribution
  • Clear path toward expanded executive leadership responsibility
Not Specified
Senior Data Scientist
✦ New
🏢 C5i
Salary not disclosed
Austin, TX 1 day ago

About US

C5i is a pure-play AI & Analytics provider that combines the power of human perspective with AI technology to deliver trustworthy intelligence. The company drives value through a comprehensive solution set, integrating multifunctional teams that have technical and business domain expertise with a robust suite of products, solutions, and accelerators tailored for various horizontal and industry-specific use cases. At the core, C5i’s focus is to deliver business impact at speed and scale by driving adoption of AI-assisted decision-making.

C5i caters to some of the world’s largest enterprises, including many Fortune 500 companies. The company’s clients span Technology, Media, and Telecom (TMT), Pharma & Lifesciences, CPG, Retail, Banking, and other sectors. C5i has been recognized by leading industry analysts like Gartner and Forrester for its Analytics and AI capabilities and proprietary AI-based platforms.


Global offices

United States | Canada | United Kingdom | United Arab of Emirates| India


Job Description:

Overview: This role involves building data products to extract valuable business insights and requires a highly analytical individual with strong problem-solving skills and a passion for machine learning and research.


Responsibilities

  • Undertake data collection, preprocessing, and analysis
  • Build models to address business problems
  • Present information using data visualization techniques
  • Propose solutions and strategies to business challenges
  • Collaborate with engineering and product development teams
  • Develop machine learning algorithms
  • Conduct data-driven experiments to drive business decisions


Required Skills

  • Data mining
  • Machine learning and operations research
  • Proficiency in R, SQL, and Python (knowledge of Scala, Java, or C++ is a plus)
  • Experience with business intelligence tools (e.g., Tableau) and data frameworks (e.g., Hadoop)
  • Strong math skills (e.g., statistics, algebra)
  • Analytical mind and business acumen
  • Excellent communication and presentation skills
  • Preferred Algorithms and Use Cases:
  • Text Analytics: Natural Language Processing (NLP) algorithms for sentiment analysis, text classification, named entity recognition.
  • Voice Analytics: Speech recognition, voice-to-text conversion, emotion detection in voice.
  • Image Analytics: Image classification, object detection, facial recognition.


Qualifications

  • Proven 5+ years of experience as a Data Scientist or Data Analyst
  • Bachelor's or master's degree in computer science, Engineering, or relevant field; graduate degree in Data Science or other quantitative field is preferred


C5i is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, religion, sex, sexual orientation, age, marital status, disability, gender identity, etc. If you have a disability or special need that requires accommodation, please keep us informed about the same at the hiring stages for us to factor necessary accommodations.

Not Specified
Quality Operations Lead
✦ New
Salary not disclosed
Austin, TX 1 day ago
Quality Operations Lead

The future of AI whether in training or evaluation, classical ML or agentic workflows starts with high-quality data.

At HumanSignal, we're building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise.

Our open-source product, Label Studio, has become the de facto standard for labeling and evaluating data across modalities from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it's the most widely adopted OSS solution for teams working on building AI systems.

Label Studio Enterprise builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines powering everything from model training datasets to eval test sets to continuous feedback loops. We started before foundation models were mainstream, and we're doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems we'd love to talk.

HumanSignal is seeking a Quality Control Lead to ensure world-class data quality across our Label Studio platform and Data Creation Laboratory operations. In this role, you will be the ultimate authority on the integrity and usefulness of the data we manufacture and deliver to customers. You will drive accountability across our highest-impact projectstackling complex quality challenges head-on while leading strategic initiatives that enable reliable, scalable delivery as we grow.

Our Data Creation Laboratories don't just label existing datawe manufacture purpose-built datasets from scratch in controlled environments. This means quality control takes on new dimensions: you're not just checking annotations, you're ensuring that the human-generated data we create meets the exacting standards required by frontier AI labs and enterprises pushing the boundaries of what's possible.

You Will:

  • Build and lead a high-performing team of quality control specialists who set the standard for data excellence
  • Collaborate with delivery teams and laboratory operations to interpret, refine, and exceed customer requirements
  • Manage day-to-day operations including workload planning, resource allocation, and performance reporting
  • Design and implement scalable quality frameworks and best practices that grow with the organization
  • Champion initiatives that drive improvements in quality, operational efficiency, and customer satisfaction
  • Serve as the ultimate standard-bearer for data quality, ensuring HumanSignal is recognized as the most trusted source of training data in AI

Ideally You'd Have:

  • Bachelor's degree in Computer Science, Engineering, Operations, or a related discipline
  • 4+ years of experience leading teams or scaling complex operational or technical processes
  • Strong analytical capabilities and problem-solving skills, with proficiency in SQL and meticulous attention to detail
  • Demonstrated experience building systems, processes, and teams across diverse customer segments or product offerings
  • Hands-on background in operations management, product management, or management consulting at a top-tier firm
  • Track record of taking initiative and driving results in cross-functional technical environments

Nice to Haves:

  • Master's degree in Computer Science, Engineering, Operations, or a related field
  • Experience in AI/ML data operations or services
  • Background working in high-growth, dynamic startup environments
  • Experience building and scaling teams from the ground up

About HumanSignal

At HumanSignal, we're building the infrastructure for the next generation of AI. Our Label Studio platform powers data operations for leading organizations worldwide, while our Data Creation Laboratories manufacture the purpose-built datasets that breakthrough AI applications require.

We believe the next frontiers in AI won't be unlocked by scraping what's left on the webthey'll be built on human-created data that captures the complexity of how systems need to see, hear, reason, and react. Through controlled environments and operational excellence, we're enabling researchers and enterprises to innovate without being constrained by data availability.

We work with frontier AI labs, Fortune 500 enterprises, and government agencies who are pushing the boundaries of what's possible with AI. Join us in building the data that will build the future.

We are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity, or Veteran status.

At HumanSignal we pay based on regional compensation market rate ranges across the globe. We are hiring for this role across North and South America as well as Europe. The base cash compensation range is $90,000 to $140,000 USD. These ranges are provided by market data and are in good faith. The final offer details are determined by several factors including candidate experience, expertise, as well as applicable industry knowledge and may vary from the pay ranges listed above.

Not Specified
Enterprise Account Executive
✦ New
Salary not disclosed
Austin, Texas Metropolitan 1 day ago

Join Our Mission at Sensi.AI


Sensi is redefining how care organizations support aging at home by using it’s Care Intelligence platform to translate everyday signals into meaningful clinical and operational outcomes.

Sensi’s platform is deployed across 50 states in leading home-care providers, supporting tens of thousands of seniors aging safely at home. By transforming real-world activity in the home into actionable insights, Sensi enables care teams to detect changes in condition earlier, intervene proactively, and deliver higher-quality care at scale.


We are looking for an Enterprise Account Executive to drive Sensi’s expansion into large home-care organizations and senior living operators. This role will own the full enterprise sales cycle - from identifying strategic opportunities to closing complex, high-impact deals. In this role, you will shape our sales strategy, drive client growth, and introduce AI-powered intelligence to senior healthcare stakeholders in a fast-paced, innovative environment.


Key Responsibilities

  • Strategic Account Planning: Lead with a data-driven approach to identify and penetrate large-scale organizations. Analyze market landscapes, healthcare trends, and regional dynamics to translate high-level strategies into targeted, high-impact sales activities.
  • Own the Full Enterprise Sales Cycle: Lead enterprise sales processes from discovery through close. Partner with C-suite executives and senior operators to demonstrate the value of Sensi and help transform how organizations care for seniors.
  • Industry & Product Advocacy: Act as a subject matter expert on Sensi’s technology and the care industry. You will navigate complex healthcare landscapes, gathering market signals and customer feedback to help our Product and Engineering teams shape the future roadmap.
  • Cross-Functional Collaboration: Partner closely with Product, Engineering, and Customer Success to ensure seamless implementations. You’ll champion the "land and expand" strategy, building lasting internal and external relationships to drive long-term customer value.
  • Market Builder Mindset: Navigate the complexities of the healthcare enterprise world by translating technical and operational challenges into clear business value and compelling executive narratives.


Key Requirements

  • Enterprise Sales Experience: Proven track record of meeting or exceeding sales quotas, with at least 7+ years of experience selling complex B2B SaaS solutions to large corporations (Enterprise/Strategic level).
  • Master of Complexity: Experienced in navigating complex organizations with multiple stakeholders and creating long-term value for both customers and the company. You know how to map an account and reach the "Economic Buyer."
  • New Logo Hunter: Proven success in managing the full sales cycle, with a relentless focus on new logo attainment and high-value contract negotiation.
  • Exceptional Communicator: You have exceptional storytelling and presentation skills, with the ability to engage executives and decision-makers and translate data into a compelling narrative.
  • Startup Mindset: Comfortable operating in a fast-moving environment with evolving processes. You bring ownership, resilience, adaptability and thrive in the high-energy environment of a growing startup.
  • Strategic Negotiator: A track record of leading successful, complex negotiations that create long-term value for both customers and the company.
Not Specified
Senior Java Developer (Java, Spring Boot, AWS) - 100% Remote
🏢 Optomi
Salary not disclosed
Dallas, TX, Remote 2 days ago

Optomi, in partnership with a leading logistics company is seeking a Senior Full Stack Java Developer (Java / Kafka / Spring Boot / AWS) to support and modernize critical systems within the Mechanical organization. This team maintains locomotives, railcars, and detector systems that capture millions of operational and safety data points across the network.


About the Position: The role focuses on refactoring legacy microservices, scaling event-driven architectures, re-platforming rules engines, and building cloud-native, resilient, high-volume IoT data pipelines. This is a high-impact engineering role where your work directly influences safety, reliability, and operational efficiency across one of the largest transport networks in the US.


Apply Today if your Background Includes:

  • 6+ years of Full Stack experience with a backend emphasis in Java Spring Boot development.
  • Strong event-driven architecture + Kafka experience
  • Proven experience modernizing legacy microservices & distributed systems
  • AWS Cloud experience
  • Hands-on Python experience for backend/data workflows
  • DevSecOps mindset: automated testing, CI/CD, secure coding
  • Experience supporting both greenfield and legacy systems
  • Strong relational DB experience (Postgres preferred)
  • Experience handling IoT or high-volume sensor data pipelines
  • Familiarity with open-source tooling and cloud-agnostic architectures
  • Ability to mentor junior engineers and provide technical leadership


What the Right Professional Will Enjoy!

  • Fully remote work opportunity with up to 20% travel.
  • Opportunity to work with a fast-growing team focused on modernization, cloud adoption, and automation.
  • Direct impact on safety, rail operations, and national freight logistics.
  • Work on high-volume IoT, event-driven architectures, cloud-native systems.
  • Exposure to AI/GenAI, automation, and open-source tooling
  • Leadership opportunities with junior developers


Responsibilities:

  • Modernize legacy microservices and distributed systems supporting mechanical operations and detector networks.
  • Design and implement backend services using Java, Spring Boot, event-driven patterns, and Kafka.
  • Scale and optimize high-volume IoT data pipelines (30M+ incoming data points from sensors/detectors).
  • Lead architecture, design, and deployment efforts for new and existing services.
  • Refactor and support large rules-engine frameworks (600+ rulesets).
  • Contribute to cloud-native development (AWS preferred; Azure acceptable; cloud agnostic mindset encouraged).
  • Use Python for backend workflows, automation, and data processing tasks.
  • Build automated CI/CD and testing frameworks following DevSecOps best practices.
  • Work with Postgres and relational databases to tune, model, and integrate data.
  • Mentor junior developers and support a strong engineering culture focused on speed, clarity, and automation.
  • Collaborate across teams to build scalable, modern systems.
  • Support both new development and the existing application footprint.

Remote working/work at home options are available for this role.
Not Specified
Readily Available Interim Customer Support Lead | VC-Backed B2B Healthtech SaaS | Boston (Hybrid)
✦ New
Salary not disclosed
Boston, MA, Hybrid 1 day ago

Readily Available Interim Customer Support Lead | VC-Backed B2B Healthtech SaaS | Boston (Hybrid)


The Client

This client is an AI-powered healthtech startup born out of a multi-year collaboration between leading academic medical centers and top-tier engineering institutions in Europe. This business has developed patented algorithms and a proprietary clinical database to help practitioners improve ultrasound screening accuracy, reduce diagnostic errors, and optimize care pathways for expectant mothers. With a clear mission to expand access to high-quality women's and children's health outcomes through technology, they are now scaling rapidly across the United States; partnering with major clinical networks and onboarding new health system clients at an accelerating pace.



The Role

This is an opportunity to own and build a support function at a company experiencing hypergrowth in the US market. Reporting to the Director of Operations, this role is for someone who sees a blank slate as an opportunity. The customer base is scaling rapidly and this position will be responsible for building the support function that grows with it. The right candidate will be hands-on, close to the product and customers before building out the systems, tooling, and team capable of sustaining growth without compromising the experience



Responsibilities

  • Handle tickets and calls directly to build deep product knowledge and earn customer trust
  • Design and implement the core support ticket infrastructure: SLAs, escalation paths, and cross-functional workflows with Engineering and Product
  • Optimize the CRM/ticketing environment (automations, reporting, routing) and build out a self-serve knowledge base including FAQs and troubleshooting guides
  • Serve as the voice of the customer, translating support patterns and user feedback into actionable product insights
  • Define and track key operational KPIs and build automations to drive ongoing efficiency
  • Champion team autonomy and maintain quality standards throughout a period of significant scale



What We Need to See (Essential)

  • 3-5 years of B2B SaaS experience in Technical Support, Customer Support, or Operations
  • Experience in implementing modern support/ticketing platforms (e.g. Zendesk, Pylon or similar)
  • Proficiency in maintaining & utilizing ticketing CRMs
  • Demonstrated ability to thrive in hypergrowth environments and build processes from zero
  • Comfort working across time zones (specifically West Coast)
  • Genuine alignment with the company's mission in women's and children's health



What We’d Like to See (Bonus)

  • Experience in a healthcare or regulated SaaS environment
  • Familiarity with building or scaling a support function at a Series A-C stage company
  • Experience with CRM automation and reporting



Location: Hybrid

Package: $60-80 per hour

Duration: 4 months


Remote working/work at home options are available for this role.
Not Specified
Structural Engineer
✦ New
Salary not disclosed
Remote, Oregon 1 day ago

WHO WE ARE

Delta Engineers, Architects, & Surveyors (Delta) is a multidisciplinary AEC firm founded in upstate New York in 1976. Along with our corporate headquarters located near the intersection of Interstates 81, 86 and 88, Delta has additional offices across Central New York and Chevy Chase, MD, together with remote team members located across the US. We deliver engineering and architectural design services for multiple market sectors along with providing environmental, survey, landscape architecture, and ecological services to public and private clients located throughout the continental US. Delta team members take advantage of terrific opportunities to advance professionally in a supportive team-oriented culture while enjoying generous compensation and benefits package.

WHO WE NEED

We are seeking a versatile and team-oriented Structural Project Engineer in our Structural Team, ideally located in the Syracuse or Albany, NY area, or at our Endwell, NY office. Candidates located outside the designated office locations may qualify for full remote work, subject to company policy. The ideal candidate should have a Bachelor's Degree in Civil / Structural Engineering, with a minimum of 6 years of relevant experience. A PE is also required. Experience should include structural analysis, design, and detailing for concrete, steel, and aluminum structures. Experience with cable design is preferred.

The primary duties associated with this position include:

  • The candidate should be proficient with the International Building Code (IBC); ASCE-7; ACI 318; ADM-2020; and AISC.
  • Performing challenging 3-dimensional structural analyses and designs for a wide variety of clients using various state-of-the-art design software, including RISA 3D, SAP, RAM, and RISA Foundation.
  • Responsible for serving as lead project engineer, i.e., taking responsibility for developing design, preparing detailed structural drawings using AutoCAD and REVIT, and specifications. This includes coordinating the work of junior team members and amongst other trades.
  • Solving engineering problems using experience, judgment, and education and knowing when to ask for assistance when required.
  • Write and review related reports for the services provided.
  • Scoping projects and assisting project managers with proposal creation.
  • Serving as a Quality Control reviewer for the designs of team members.
  • Assisting the Team Leader in initiating, developing, and implementing continuous team improvement initiatives.
  • Supporting structural work in our building projects within the Structural Facilities Group as workload warrants.
  • Attending client meetings/presentations in the daytime or evenings.
  • Communicating with client representatives, contractors, and suppliers.
  • Participating in site visits/inspections/documentation during construction.
  • Work on a variety of projects including schools, industrial facilities, commercial buildings, and governmental projects.
  • This position requires an individual that has strong technical abilities with good organizational and communication skills, and the ability to work in a fast-paced market.

Additional duties will include preparing structural designs; prepare structural design summaries and detailed drawings using AutoCAD and REVIT; consider alternate designs and value engineering; and meeting scheduled project deadlines.

Delta is driven to exceed our clients' expectations on every project. Accordingly, the successful applicant for this position must be willing to occasionally work adjusted hours/overtime.

WHAT WE OFFER

Hiring Salary Range: $80,000-$110,000 (Salary to be determined by the applicant's education, experience, knowledge, skills, and abilities along with an internal equity and alignment with market area data.)

The following are a few of the benefits that we offer:

  • Paid Holidays, Vacation, Sick time
  • Health and Dental Insurance
  • Optional Vision, LTD and Term Life Insurance
  • Enhanced Short Term Disability
  • 401K Retirement Plan
  • Tuition Assistance Program
  • Professional Licensing Reimbursement
  • Recruitment Bonus Program

We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.


Remote working/work at home options are available for this role.
Not Specified
AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA
🏢 Enigma
Salary not disclosed

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA


Title: AI Research Scientist

Location: San Jose, CA


Responsibilities:

  • Design, execute, and analyze machine learning experiments, establishing strong baselines and selecting appropriate evaluation metrics.
  • Stay up to date with the latest AI research; identify, adapt, and validate novel techniques for company-specific use cases.
  • Define rigorous evaluation protocols, including offline metrics, user studies, and adversarial (red team) testing to ensure statistical soundness.
  • Specify data and annotation requirements; develop annotation guidelines and oversee quality control processes.
  • Collaborate closely with domain experts, product managers, and engineering teams to refine problem statements and operational constraints.
  • Develop reusable research assets such as datasets, modular code components, evaluation suites, and comprehensive documentation.
  • Work alongside ML Engineers to optimize training and inference pipelines, ensuring seamless integration into production systems.
  • Contribute to academic publications and represent the company in research communities, as needed.


Educational Qualifications:

  • Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred.
  • Candidates with a master’s degree and exceptional research or industry experience will also be considered.


Industry Experience:

  • 3–5 years of experience in AI/ML research roles, ideally in applied or product-focused environments.
  • Demonstrated success in delivering research-driven solutions that have been deployed in production.
  • Experience collaborating in cross-functional teams across research, engineering, and product.
  • Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR) are a plus.


Technical Skills:

  • Strong foundational knowledge in machine learning and deep learning algorithms.
  • Hands-on experience with PEFT/LoRA, adapters, fine-tuning techniques, and RLHF/RLAIF (e.g., PPO, DPO, GRPO).
  • Ability to read, implement, and adapt state-of-the-art research papers to real-world use cases.
  • Proficiency in hypothesis-driven experimentation, ablation studies, and statistically sound evaluations.
  • Advanced programming skills in Python (preferred), C++, or Java.
  • Experience with deep learning frameworks such as PyTorch, Hugging Face, NumPy, etc.
  • Strong mathematical foundations in probability, linear algebra, and calculus.
  • Domain expertise in one or more areas: natural language processing (NLP), symbolic reasoning, speech processing, etc.
  • Ability to translate research insights into roadmaps, technical specifications, and product improvements.


AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA


Remote working/work at home options are available for this role.
Not Specified
QA Automation Engineer
$90,000 - $111,000 per annum
Remote 6 days ago
Job Description

Pecan POS is seeking a skilled and detail-oriented QA Automation Engineer to join our growing engineering team. In this role, you will be responsible for designing, developing, and maintaining automated testing frameworks to ensure the reliability, performance, and scalability of our point-of-sale (POS) platform used by hospitality businesses.

You will collaborate closely with software engineers, product managers, and QA specialists to improve software quality, reduce regression risk, and support continuous integration and delivery. This is an excellent opportunity to contribute to a fast-paced environment where quality and innovation are critical to delivering reliable transaction systems.

Responsibilities
  • Design, develop, and maintain automated test frameworks for web and API testing

  • Create and execute automated regression, integration, and end-to-end tests

  • Collaborate with developers and product teams to define test strategies and acceptance criteria

  • Identify, document, and track defects through resolution

  • Integrate automated tests into CI/CD pipelines to support continuous delivery

  • Perform API testing and validate system integrations

  • Conduct root cause analysis and contribute to quality improvements

  • Maintain test environments and test data for consistent automation execution

  • Participate in code reviews and support quality engineering best practices

Requirements
  • Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience)

  • 3+ years of experience in software testing and automation

  • Strong experience with automation tools such as Selenium, Cypress, Playwright, or similar frameworks

  • Experience with API testing tools such as Postman or RestAssured

  • Familiarity with programming languages such as Java, Python, JavaScript, or C#

  • Experience with SQL and database validation

  • Understanding of Agile development and the software testing lifecycle

  • Experience with version control systems such as Git

  • Strong problem-solving and analytical skills

Preferred Qualifications
  • Experience testing POS systems, fintech platforms, or payment processing systems

  • Experience with CI/CD tools such as Jenkins, GitHub Actions, or GitLab CI

  • Familiarity with cloud environments (AWS, Azure, or GCP)

  • Experience with performance testing tools such as JMeter or k6

What We Offer
  • Fully remote work environment

  • Competitive salary

  • Opportunity to work on mission-critical transaction systems

  • Collaborative engineering-focused culture

  • Professional development and growth opportunities




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