AI Jobs

Benefits:

• comprehensive healthcare coverage

• flexible PTO

• equity RSUs

• annual performance bonus opportunities

• retirement account support

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field

Experience Requirements:

• Over 12 years of engineering experience

• developing and delivering complex, enterprise-class software solutions

• designing and building distributed and parallel data processing platforms

• cloud platforms (e.g., AWS, Azure, Google Cloud) and SaaS applications

• DevOps practices and tools for continuous integration and deployment

Other Requirements:

• Exceptional leadership abilities

• strong verbal and written communication skills

• Deep understanding of system performance tradeoffs

Responsibilities:

• Lead and mentor a team of software engineers

• Oversee the development lifecycle of Java-based applications

• Set technical direction for software development

• Work closely with product managers and business analysts

• Continuously evaluate and improve software development processes

Benefits:

• Stable, collaborative, and supportive work environment

• Work-life balance

• Well-being support

• Time away

• Family support

Education Requirements:

• Bachelor’s degree in Computer Science, Engineering, or a related field.

Experience Requirements:

• 8+ years of relevant experience.

Other Requirements:

• Proficiency in Go, Python, C++, or Java

• Experience building and operating distributed systems

• Hands-on experience with Kubernetes and container ecosystems

• Strong debugging and troubleshooting skills

• Experience building applications using CI/CD pipelines

Responsibilities:

• Own features end-to-end across the complete SDLC

• Design, build, and maintain highly scalable, distributed systems

• Translate customer and business needs into technical solutions

• Identify and resolve pre-production bottlenecks and production issues

• Mentor junior engineers and contribute to engineering culture

Benefits:

• Well-being support

• Time away

• Family support

Education Requirements:

• Degree in Computer Science, Engineering, or equivalent work experience.

Experience Requirements:

• 7+ years of experience in software engineering

• Experience including ownership of major system components or services.

Other Requirements:

• Proven experience designing and delivering cloud-native, distributed systems

• Deep expertise in at least one modern programming language (e.g. Go, Python, Java, etc.)

• Hands-on familiarity with Kubernetes, CI/CD, APIs, and microservices

• Ability to lead technical initiatives and make architectural decisions

Responsibilities:

• Explore, identify, and create new businesses for Cisco

• Incubate ideas into products and deliver MVP to commercial offering

• Lead technical initiatives and make architectural decisions

• Guide others through complex challenges

• Shift across products and build new skills regularly

Benefits:

• Remote first organization

• 100% Company paid Health/Dental/Vision benefits

• Life Insurance, Short-term and Long-term Disability

• 401k

• Unlimited PTO

Education Requirements:

• Masters or higher degree in Computer Science, Machine Learning, or related field

• Bachelors degree with relevant work experience

Experience Requirements:

• 5+ years of industry experience

• Technical leadership experience a plus

• Experience in TypeScript

• Demonstrated knowledge of Golang, Python, and SQL

• Experience with developing large-scale micro-service oriented solutions

Other Requirements:

• Authorized to work in the United States

• No sponsorship of employment visas

Responsibilities:

• Build a secure, stable, and scalable platform for systems of record

• Improve data ingestion systems for IR and QA systems

• Enable IR systems to scale to very large collections of documents

• Enable new generation of AI-driven applications

Benefits:

• Hourly compensation between $30-40 USD

• Fully remote environment

• Flexible work hours

Other Requirements:

• Attend meetings during UTC-7/8 (Pacific Time)

• Ability to work independently

• Attention to detail

• Understanding of technical AI topics

• Professional level English proficiency

Responsibilities:

• Parsing machine learning papers or leaderboards

• Accurately extracting and compiling technical details

• Producing estimates of metrics for AI infrastructure

Benefits:

• Environment prioritizes learning, innovation, and growth

• Work with cutting-edge technologies

• Contribute to global business solutions

• Fostering culture of responsible innovation

Experience Requirements:

• 6+ years experience in data engineering

• Experience with large scale data migrations

• Consulting / customer facing experience

• Comfortable writing code in Python or Scala

• Deep experience with distributed computing with Apache Spark

Other Requirements:

• Working knowledge of Cloud ecosystems (AWS, Azure, GCP)

• Familiarity with CI/CD

• Working knowledge of MLOps

• Must have Databricks Certifications

• Ability to travel up to 30%

Responsibilities:

• Handle impactful customer technical projects

• Scope variety of professional services work

• Guide strategic customers as they implement projects

• Consult on architecture and design

• Mentor and provide guidance to junior data engineers

Education Requirements:

• Currently pursuing or recently completed an undergraduate degree in Computer Science, Engineering, or a related technical field

Experience Requirements:

• Familiarity with AI concepts or hands-on experience using AI tools, models, or data-driven systems

• Strong troubleshooting and problem-solving skills

Other Requirements:

• Exposure to GIS, geospatial data, mapping tools, or spatial analysis

• Experience working with hardware systems, IoT devices, field operations, or operations-focused software tools

Responsibilities:

• Partner cross-functionally with Hardware, Field Operations, Data Operations, and Software Engineering

• Identify, design, and implement automation solutions that streamline internal workflows

• Troubleshoot and resolve software-related issues impacting the sensor fleet and internal tooling

• Build tools and workflows to automate customer service processes

• Redesign and automate the multi-step, multi-person shipping process

Other Requirements:

• Visionaries and Builders

• Hard Workers

• Data-Driven Innovators

• System-Level Thinkers

• Relentless Problem Solvers

Responsibilities:

• Solve complex problems at scale

• Create infrastructure for an entirely new economy

• Assign real-time value to information

• Turn massive data sets into actionable insights

• Reshape how the world works

Other Requirements:

• Visionaries and Builders

• Hard Workers

• Data-Driven Innovators

• System-Level Thinkers

• Relentless Problem Solvers

Responsibilities:

• Solve complex problems at scale

• Create infrastructure for an entirely new economy

• Assign real-time value to information

• Turn massive data sets into actionable insights

• Reshape how the world works

Experience Requirements:

• 10+ years of software engineering experience

• 4+ years in engineering management

• Experience building engineering teams from scratch

• Proven track record of shipping products to millions

• Hiring expertise for senior talent

Other Requirements:

• Strategic thinker

• Comfortable with ambiguity

• Strong communicator

Responsibilities:

• Own the engineering organization structure and hiring plan

• Set technical strategy and define architecture principles

• Recruit senior engineers and leads

• Drive delivery of high-quality software

• Scale systems from early-stage to production-grade

Experience Requirements:

• 7+ years of software engineering experience

• 2+ years in a tech lead or engineering lead role

• Strong technical foundation in distributed systems

• Proven leadership mentoring engineers

• Hands-on individual contribution experience

Other Requirements:

• Proficiency in TypeScript/Node.js or Python

• Experience with cloud infrastructure (AWS, Kubernetes)

• Strong communication skills

Responsibilities:

• Lead a team of 3-6 engineers

• Stay hands-on writing code daily

• Drive technical architecture and system design

• Mentor engineers through code reviews

• Collaborate cross-functionally with product and design

Benefits:

• Equity

• Health benefits

Education Requirements:

• Masters in Computer Science/Electrical Engineering or equivalent experience

Experience Requirements:

• 8+ years machine learning/deep learning research or practical experience

• 7+ years leadership background

• 15+ years industry experience

• 10+ years validated expertise in embedded software sector

Other Requirements:

• PhD or equivalent experience in a relevant field

• Leadership role in production deployment of Smart Spaces

• Deep experience with CV, LLMs, VLMs, GenAI Models

Responsibilities:

• Lead and develop engineering and data teams distributed across Europe, Asia and the United States

• Architect and operationalize NVIDIA’s end-to-end data Inference Acceleration strategy

• Drive Strategic Implementations of TensorRT, VLLM and other accelerated frameworks

• Collaborate with major Metropolis OEMs and Partners to architect optimized custom models

• Orchestrate efforts to achieve leading performance results on industry benchmarks like MLPerf

Benefits:

• Equity (RSUs) in the company

• Comprehensive medical, dental, and vision plans

• 12 weeks of paid parental leave

• Flexible vacation and sabbatical program

• Annual WIN bonus program eligibility

Experience Requirements:

• 2+ years of experience leading an engineering team in SaaS

• 5+ years of experience as a full-stack or backend engineer

Other Requirements:

• Experience with Node, React, MongoDB, and relational databases

• Strong systems and architecture experience in distributed systems

• Proven track record partnering with Product and Design

• Bonus: User of no-code tools like Webflow, Zapier, or Bubble

Responsibilities:

• Lead a small engineering team while contributing code

• Navigate ambiguity and drive clarity for the team

• Attract, retain, and raise the bar for engineering talent

• Partner effectively with Product and Design stakeholders

• Stay curious and build fluency in emerging technologies like AI

Benefits:

• Equity (RSUs) in the company

• Comprehensive medical, dental, and vision plans

• 12 weeks of paid parental leave

• Flexible vacation and sabbatical program

• Monthly stipends for work and wellness

Education Requirements:

• Bachelor's degree in Computer Science, Computer Engineering, or technical field

• Bachelor's degree in Mathematics, Statistics, or equivalent

Experience Requirements:

• 4+ years work experience in analytics, SQL, Python, or R

• Minimum 2 years experience with a Ph.D.

• 4+ years solving analytical problems using quantitative approaches

Other Requirements:

• Expertise in applied statistics (predictive modeling, regressions)

• Familiarity with Snowflake, DBT, Tableau, and/or Fivetran

• Strong communication skills with technical and non-technical audiences

Responsibilities:

• Enable product teams to think strategically with actionable insights

• Define product and business success metrics (KPIs)

• Lead technical members in executing experiments

• Develop data foundation and machine learning capabilities

• Identify growth opportunities through quantitative analysis

Benefits:

• Attractive work-life balance

• Great benefits

• Welcoming environment

• Non-hierarchical environment

• Fun place to be

Education Requirements:

• Bachelor's Degree in Computer Science, Electronic Engineering or equivalent

Experience Requirements:

• 3+ years of experience in the development of automotive software

• Good knowledge of C/C++ programming language

• Experience with real-time programming

• Experience with embedded toolchains and SDKs

Other Requirements:

• Fluent English and Japanese

• Experience with safety-critical SWs (ISO 26262)

• Knowledge of computer architectures

• Experience with imaging sensor configuration

Responsibilities:

• Design and develop embedded SW solutions on automotive platforms

• Work with machine learning researchers on SW architecture

• Contribute to internal tools for data acquisition and analysis

• Define and develop demo applications and proof of concepts

• Integrate SW solutions on customer target vehicle platforms

Benefits:

• Uncapped commission earning potential based on company performance

• Remote working (with the option of working in our office space in Manchester)

• Private Vitality medical insurance

• Private Pension with company contributions (up to 3% matched)

• 28 days holiday plus 8 UK bank holidays

Experience Requirements:

• Strong background in ETL/maintaining data pipelines

• Comfortable reading and writing code for ETL in Python

• Good technical ability with SQL (Postgres preferred)

• Basic understanding of cloud concepts (AWS preferred)

• Experience supporting data pipelines and analytical platforms

Other Requirements:

• Good communication skills

• Experience with manipulating audio files (desirable)

• Exposure to transforming call centre data (desirable)

Responsibilities:

• Maintain build schedules so that pipelines run

• Respond, Triage, and debug the pipeline when it is broken

• Be part of a team responsible for deploying new features to the product platform

• Reading code and writing code changes and/or modifying the monitoring set-up

• Work with client teams to understand data transformations required

Education Requirements:

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

Experience Requirements:

• 6+ years of experience in data or backend engineering

• Strong proficiency in Python for data tasks

• Hands-on experience with Apache Airflow and Apache Spark

• Deep experience with public cloud platforms and cloud-based data storage

• Experience working with Docker and Kubernetes

Other Requirements:

• Hands-on experience with CI tools such as GitHub Actions

• Ability to perform under pressure and make strategic prioritization decisions

• Excellent communication skills and strong teamwork

• Experience developing agents or agent-based systems (Advantage)

• Experience with GCP (Advantage)

Responsibilities:

• Design, implement, and optimize scalable data pipelines

• Build and maintain robust data acquisition systems

• Develop Harmonya’s agentic capabilities

• Mentor, support, and guide junior team members

• Collaborate with DevOps, Data Science, and Product teams

Education Requirements:

• Bachelor’s degree in Computer Science, Engineering, Statistics, or a related technical field

Experience Requirements:

• 3+ years of experience in data-focused roles (data science, analytics, or data engineering)

• Proficiency in Python and associated ML libraries (Pandas, NumPy, Scikit-learn)

• Experience with end-to-end data workflows from exploration to deployment

Other Requirements:

• Willingness and ability to learn new domains and methodologies quickly

• Strong problem-solving skills

• Experience working with LLMs (Advantage)

• Experience working on agents (Advantage)

Responsibilities:

• Enhance, maintain, and scale existing ML products

• Develop efficient Python-based implementations for machine learning pipelines

• Collaborate with team members and product managers to align technical solutions

• Contribute applied research and experimentation to improve products

• Stay up-to-date with latest advancements in machine learning

Benefits:

• Generous equity grant

• 401k matching

• Relocation bonus

• Health, vision, dental insurance

Experience Requirements:

• Experience building and scaling teams from 20 to 100 people

• Fluency in Typescript, React, and Python

Other Requirements:

• Cultural alignment with Wispr: high agency, open communicator, detail oriented, and user obsessed

• Can build a culture that’s thoughtful, aggressive, innovative

• Able to increase the velocity and predictable delivery of an engineering team

• Product minded for a prosumer interface

• Aptitude and clarity of thought

Responsibilities:

• Direct the engineering team

• Scale the product engineering, mobile, backend, and ML engineering teams from 10 to 100 people

• Prototype and design new features of our voice interface

• Build infrastructure for <500ms LLM inference

• Scale the personalization of speech models and LLMs

Benefits:

• annual bonus

• equity compensation

• medical benefits

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, IT, or related field

Experience Requirements:

• 8+ years of experience in IT, software or systems engineering

• 3+ years in leading engineering teams

• Experience administering and integrating SaaS applications

• Proficiency in a scripting language (Python, JavaScript)

Other Requirements:

• Experience in implementing and leveraging AI solutions

• Strong understanding of cloud-native architectures

Responsibilities:

• Develop and execute strategy for Corporate Engineering function

• Design and oversee a scalable ecosystem of enterprise applications

• Provide technical guidance and review system architecture

• Partner with stakeholders across Security, IT, and Engineering

• Lead the strategy and execution of enterprise AI solutions