Benefits:

• Generous Stock Options

• Private healthcare

• Fully Remote Working

• Unlimited book budget

• Home Office Setup

Experience Requirements:

• You are a Python ninja!

• You are excited and care about building robust AI applications in production

• You are keen to roll up your sleeves and do frontline work 100% of the time

• You have sound technical knowledge of databases (SQL/NoSQL)

• You possess solid Python engineering experience coupled with recent exposure to working with LLMs & have previously built an AI product

Other Requirements:

• You have an understanding of ML algorithms & techniques and their applications, especially in the fields of NLP & LLMs.

• You have sat between research & engineering teams before acting as a go-between and managing stakeholders

• You enjoy cross-team collaboration

• You're keen to work independently, as well as collaborate with a small, diverse team, within an agile environment

• You possess a strong testing and quality mindset

• You are passionate about self development and your own continual learning

Responsibilities:

• Productionising ML & LLM features

• Design, implement, and optimize scalable applications to support growing demands

• Taking architectural ownership for various critical components & systems

• Writing clean, efficient, thoroughly tested code

• Taking ownership of monitoring and observability for our LLM systems

Benefits:

• Generous Stock Options

• Private healthcare

• Fully Remote Working

• Unlimited book budget

• Home Office Setup

Experience Requirements:

• We are looking for a MongoDB expert, so it is essential that you have advanced knowledge of MongoDB

• Working knowledge of NodeJS and TypeScript

• You’ll be able to give working examples of database and system design, event-driven programming, and microservice architecture

Other Requirements:

• Any hands on experience of message brokers (we use RabbitMQ)

• You’ll have worked in an Agile environment and truly embody what it means to be Agile

• We’ll want to see you land key messages throughout our interview process, show us you’re a team player, and demonstrate you’re a lifelong learner

Responsibilities:

• Five star user experience

• Working on complex problems

• Autonomy

• Day to day

• Our tech stack

Benefits:

• Medical, dental, vision, 401k matching & life insurance

• Hybrid remote and onsite flexible expectation

• Opportunity to travel to deployment sites around the world

Education Requirements:

• B.S. or higher degree in relevant field or equivalent experience

Experience Requirements:

• Minimum of 5 years of experience in software engineering

Responsibilities:

• Own and drive requirements and development of AIM's software stack

• Ensure smooth integration with AIM backend software stack

• Uphold code health of production quality codebases

• Take ownership of new components

• Responsible for developing and maintaining the codebase for our products and services

Experience Requirements:

• Senior-level experience

Experience Requirements:

• Senior-level experience

Experience Requirements:

• Senior-level experience

Education Requirements:

• BS in computer science from an accredited university

Experience Requirements:

• 5 years of professional software engineering experience

• 1+ year of professional work experience in data infrastructure, ML/AI models in production, neural network algorithms, or performance optimization of deep learning systems

Other Requirements:

• Some experience with Python is required

Responsibilities:

• Implementing various algorithms to do automated feature extraction and dataset augmentation, optimizing runtimes of neural network algorithms and building higher-level abstractions for various common AI/ML techniques

• Working cross functionally amongst other engineers, on common ML operation tasks such as ML data management and training and model deployment, as well as build systems that are scalable

Benefits:

• Competitive salary

• Generous health, dental, and vision insurance

• Flexible working hours

• Flexible vacation time

• Hybrid/Remote friendly work environment

Education Requirements:

• Phd or Master’s level degree in computer science, machine learning, engineering or related fields

Experience Requirements:

• 2-5 years of experience working as a data/AI scientist developing AI models and evaluation of AI/LLM models

• Experience applying both technical and non-technical (policy, ethical, social) approaches to model risk and impact assessments

• Familiarity with requirements contained in AI regulations as well as leading standards and frameworks (EU AI Act, NIST AI Risk Management Framework, ISO Standards, etc)

Other Requirements:

• Excellent organizational and project management skills, including the ability to lead a small team on client-facing projects

• Strong technical, analytical and conceptual problem-solving skills

• Demonstrated experience drafting reports and academic publications

• Team player

• Comfortable in a flexible and evolving environment

• Ability to multitask

Responsibilities:

• Support client model assessment projects from start to finish, including advising on the selection and development of test plans and evaluation metrics suited to the business use case and regulatory requirements

• Play a lead role in drafting model assessment reports for clients, including addressing the broader compliance and/or business impacts of assessment technical findings

• Develop and document assessment team standard operating procedures with a view to improving project efficiency and customer satisfaction

• Serve as one of the main points of contact for technical questions related to model assessment approaches and findings

• Work with the Chief Technology and Product Officer and assessment team to identify state-of-the-art techniques, methods and tools for model testing, evaluation and validation of AI/ML systems, including generative AI

Benefits:

• 401K and AD&D

• Healthcare

• Global Exchange Program

• Work from anywhere

• Employee stock options

Education Requirements:

• BSC in a related technical field or equivalent practical experience

Experience Requirements:

• Over 5 years of experience in a Data Engineering role

Other Requirements:

• Coding experience with Python

• Experience with SQL and NoSQL databases

• Experience with data modeling, and building ELT/ETL pipelines

• Experience with common data warehouse and lakehouse technologies

• Experience with AWS platform

• Experience working with Git, CI/CD flows and Docker

• Experience building data pipelines with big data frameworks such as Spark

• Technologically diverse background and ability/willingness to learn new things quickly

Responsibilities:

• Design, develop and implement robust data pipelines using ETL/ELT to move data from various sources into our lakehouse

• Ensure quality and integrity of data by implementing validations, testing and monitoring

• End-to-end feature development and ownership, from design to production

• Work directly with stakeholders

Benefits:

• 401K and AD&D

• Healthcare

• Global Exchange Program

• Work from anywhere

• Employee stock options

Education Requirements:

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

Experience Requirements:

• 5+ years of experience in full-stack software engineering

Other Requirements:

• Strong experience building prototypes, MVPs, or proof of concepts

• Solid understanding of cloud infrastructure and services

• Demonstrated ability to communicate technical concepts effectively to a variety of stakeholders

Responsibilities:

• Prototype and Innovate

• Cross-Departmental Collaboration

• End-to-End Ownership

• Knowledge Sharing and Mentorship

Benefits:

• 401K and AD&D

• Healthcare

• Global Exchange Program

• Work from anywhere

• Employee stock options

Education Requirements:

• BA/BS degree in Computer Science or a related technical field or equivalent practical experience

Experience Requirements:

• 3+ years of backend development experience

• 2+ years of node.js experience

• Experience with the Express framework

• Experience in AWS, Docker, k8s

Other Requirements:

• Experience with Relational and NoSQL databases, data workflow management

• Experience with designing and building RESTful APIs

• Experience designing, scaling, debugging, and optimizing systems

• Familiarity with distributed system concepts

• Write infrastructure as code using CloudFormation or Terraform

• Strong notions of security best practices

• Previous exposure to large-scale systems design

• Ability to troubleshoot distributed systems

• Fluent in English

Responsibilities:

• Develop and maintain our backend infrastructure

• Develop & maintain microservices using Node.js and Express

• Take part in architectural decisions and discussions

• Solve complex problems, create object models, define APIs, build web services

Benefits:

• Wellness allowance: 4000 SEK / year

• Occupational pension: according to ITP1 levels

• Top-up during parental leave

• A great culture with plenty of growth opportunities

• 30 days of annual vacation

Education Requirements:

• Bachelor's or master's degree in Business Administration (or relevant)

Experience Requirements:

• 1-2 years experience in a sales-related role, with a track record of meeting or exceeding targets

Other Requirements:

• Passion for technology, especially video, content creation and AI

• Stellar communication skills with a knack for storytelling

• Ability and willingness to call and interact with people over the phone

• Ability to work autonomously but also in a team

• Positive attitude, an entrepreneur in spirit, and a genuine enthusiasm for helping others

• Fluency in English, written and spoken

Responsibilities:

• Building Bridges: Develop and maintain strong relationships with potential clients

• Proactive Outreach: Use innovative, engaging outreach methods

• Collaborative Strategy: Work closely with both sales and marketing teams

• Data-Driven Success: Leverage data to evaluate the success of outreach strategies

• Goal-oriented: Drive strategic goals to convert prospects into loyal customers

Benefits:

• Opportunity to work in a fast-paced, innovative environment.

• Competitive salary package.

• Health, dental, and vision insurance.

• Flexible working hours and remote work options.

• Professional development and career growth opportunities

Education Requirements:

• Bachelor's or Master's degree in computer science, engineering, or a related field

Experience Requirements:

• 6+ years of quota carrying sales experience, selling primarily to upper mid-market and/or enterprise accounts

• Have worked with and mentored a senior level BDR, preferably in a 121 dedicated pairing

Other Requirements:

• Have worked in a start-up / scale-up environment

• Proven track record of career progression, personal development and achievement

• Have excellent presence and proven track record of influencing and selling at all levels

• SaaS based sales experience

Responsibilities:

• Partner with a Senior BDR to Initiate contact with potential clients through social selling, cold calling, email campaigns, and events.

• Qualify opportunities to ensure alignment with our target market and product offerings.

• Conduct compelling sales presentations and product demonstrations.

• Prepare and present tailored proposals and quotes that address client requirements and objectives.

• Maintain an accurate and up-to-date sales pipeline, tracking all interactions and progress with prospects.

Benefits:

• A competitive compensation package

• A tight team in excellent premises in central Stockholm

• A workplace that trains you in sales, digital marketing, and leadership

• The opportunity to work in a startup with high ambitions and enormous career opportunities as the company develops

• Hybrid working place

Experience Requirements:

• 4+ years of experience managing paid search campaigns (Google Ads, Bing Ads)

• Strong expertise in Google Analytics, Tag Manager or similar tools

• Proven track record of driving measurable results and managing large budgets

• Excellent communication, analytical, and project management skills

• Experience on client management and customer centric approach

Other Requirements:

• Google Ads and Analytics certifications

• Is efficient, organized, thorough personality and that you also have an eye for detail

• Excellent written and verbal communication skills in English, and it is an advantage if you also speak nordic languages

Responsibilities:

• Lead strategy and execution of paid search campaigns to meet client KPIs for Paid Search and Social Media ads

• Account structure and optimization, keyword research, bidding and ad copy optimization, and A/B testing assisted by Brightbid’s AI powered tools

• Analyse campaign performance, generate reports, and provide actionable insights assisted by Brightbid’s AI powered tools.

• Collaborate with cross-functional teams to ensure alignment with broader marketing goals

• Manage client communication and present results, recommendations, and strategic plans

Benefits:

• Möjligheten att jobba i en startup med högt tilli tak med enorma karriärmöjligheter i takt med att bolaget utvecklas

• Möjligheten att jobba med den senaste tekniken inom digital marknadsföring – Våra Produkter är drivna av AI och saknar motstycke på den skandinaviska marknaden

• En arbetsplats som utbildar dig inom försäljning, digital marknadsföring och ledarskap

• Frukost varje morgon

• Friskvårdsbidrag

Experience Requirements:

• Minst 5 års erfarenhet av försäljning med dokumenterat lyckade resultat

• En vilja och tävlingsinstinkt utöver det vanliga

• Kunna arbeta mot tydligt uppsatta mål

• En ödmjuk approach och en vilja att lära sig av både kunder och kollegor

• Kunna förstå kundens behov och vara effektiv i dina samtal och möten

Other Requirements:

• Du ska kunna uttrycka dig obehindrat i både tal och skrift på svenska och det är meriterande om du även talar andra språk

Responsibilities:

• Prospektera nya kunder

• Boka in möten (fysiska och digitala)

• Hålla möten och matcha dessa mot BrightBid produktutbud ufrån kundens behov

• Stänga affärer!

Benefits:

• We're completely remote.

• Competitive base salary and stock option plan.

• We have full health insurance for both Canadian and US residents.

• We offer unlimited vacation.

• Flexible hours - create your most productive work schedule

Other Requirements:

• Exceptional analytical reasoning and problem-solving skills, with a profound understanding of data science, machine learning, and statistical principles

• Advanced proficiency in Python for data manipulation, analysis, and model development

• Comprehensive knowledge of machine learning algorithms, especially LLMs and transformers, with expertise in metric spaces and vectorization techniques

Responsibilities:

• Data Profiler Function Development

• Embedding Model Deployment Contribution

• LLMs Performance Optimization

• Multidimensional Analysis Development Support

Benefits:

• Flexible Working Hours

• Competitive Compensation

• Competitive Medical, Dental, Vision, Life Insurance

• 401k with up to 6% matching

• Unlimited PTO

Responsibilities:

• Lead the development and execution of product strategies for major products or markets

• Define and prioritize features to drive business growth and market opportunity

• Drive end-to-end product development lifecycle across engineering, design, and other stakeholders

• Conduct user research to understand customer needs and translate insights into actionable product requirements

Benefits:

• Competitive salary

• Competitive stock options

• Comprehensive health benefits medical, dental, vision

• Flexible time off policies

• Quarterly team off-sites Travel and meetings will be pre-arranged Everyone works on their own time zone, and we align team meetings on a common time that works for all There are no water cooler conversations for a selected few, everyone has a voice Remote-First Culture HQ in Seattle In-Person Time Diversity Opportunity An inclusive and diverse work environment where you can have impact

Experience Requirements:

• Have experience with a modern web development stack.

• Have a keen eye for design detail and design execution.

• Can work effectively (or learn to work effectively) in React, Typescript and Go.

• Capable of designing and building integrations (even if that's not your primary work day-to-day).

• Capable of productive and self-guided work on a remote-team. Act as your own project manager, and can communicate progress and plans concisely. Have an eye for developer quality of life and possess the skill set to both diagnose and solve hitches in the workflow

Responsibilities:

• Work on building out our user facing console where developers and customer support reps can issue and manage their data requests.

• Help us strengthen our ability to accurately analyze and validate different kinds of identity documents.

• Work with our customer's developers to help them build specialized workflows that value identity and privacy.

• Build and extend data services used by our mobile app, consumer-facing web, and developer-facing web properties

Benefits:

• Remote and flexible work

• Competitive packages

• 4 weeks of vacation

• Team events

Experience Requirements:

• Programming experience in JavaScript (React.js, Node.js, Express.js, GraphQL.js, TypeScript), Python (Numpy, Flask, Gunicorn, Sphinx) is a plus.

• Familiarity with machine learning and natural language processing technologies, including GPT 3.5/4, FastText, Gensim, ScikitLearn, Numpy, NLTK, Trie, and others.

• Familiarity with DevOps practices and tools, such as Kubernetes (K8s), Docker, GitHub Repository, and GitHub Actions.

• Experience with databases such as PostgreSQL and MongoDB.

• Display a hands-on approach to problem-solving, demonstrating a proactive and self-driven work ethic.

Other Requirements:

• Embrace a culture of constant learning, keeping abreast of industry trends and incorporating new knowledge into projects.

• Ability to work effectively in an agile Scrum team, participating in ceremonies and contributing to the iterative development process.

Responsibilities:

• Architect, implement, and sustain robust and reusable code to ensure optimal performance and scalability.

• Enforce best practices by incorporating comprehensive testing strategies, including manual testing, to guarantee the reliability of features.

• Conduct thorough code reviews of team members’ work to ensure adherence to coding standards, efficiency, and maintainability.

• Proactively contribute to the continuous improvement of team processes, offering innovative ideas and solutions.

• Communicate transparently about project status, progress, and challenges to ensure a cohesive and informed team.

Benefits:

• Competitive salary

• Company stock grant

• Gold-tier health, dental, and vision insurance (100% employer-sponsored, 50% for dependents)

• Health and dependent flexible spending accounts

• Short- and long-term disability insurance Unlimited vacation (encouraged to take it!)Paid parental leave

Education Requirements:

• Masters or Ph.D. in Computer Science or equivalent work experience

Experience Requirements:

• Extensive professional experience building, designing, and deploying machine learning systems

• Proficient in programming in Python

• Experience with object-oriented programming, code hygiene, basic version control, etc.

• Comfortable working with deadlines and confident in time management

• Excellent interpersonal skills and the ability to brainstorm, collaborate and problem solve with engineers at all levels in order to deliver on client expectations efficiently and exceptionally

Other Requirements:

• Demonstrated experience in communicating high-level technical details to clients of technical and non-technical backgrounds

• Insatiable thirst for knowledge

• US Citizen or Green Card Holder

Responsibilities:

• Designing and developing bespoke machine learning models, transforming complex challenges into impactful deliverables for clients on-time and on-budget

• Conducting diverse machine learning experiments in a collaborative environment that values knowledge-sharing, inclusivity, and trust

• Partnering with engineers in a pair programming setting to translate theoretical models into robust, scalable solutions

• Engaging in client-facing activities, building lasting partnerships by effectively bridging cutting-edge technology with real-world business needs

• Leading and mentoring project teams, guiding them through machine learning projects and cultivating a culture of continuous improvement