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HR Specialist / Recruiter
LinkedIn is the world's largest professional network, connecting over 1 billion members to explore jobs, grow networks, learn skills, and find opportunities.
Benefits:
Company-sponsored health insurance plans, including 100% company-paid HDHP
Vision + dental opt-in
Unlimited PTO
Paid company holidays
Paid winter break
Experience Requirements:
1-3 years of high volume recruiting experience preferred
Other Requirements:
Is detail-oriented, excels at executing intricacies and reviews work thoroughly
Has impeccable verbal and written communication skills
Is task-oriented and thorough in task completion
Is excited about hiring/recruiting and wants to manage this cyclical process
Is organized (calendar-obsessed list-makers + planners, we want to meet you!)
Demonstrates critical thinking in order to adapt automated processes to unique situations
Eagerness to learn, contribute, and grow within a collaborative, fast-paced team
Interest in media/entertainment industry trends, specifically streaming and digital advertising ecosystems
Responsibilities:
Post, renew and maintain job ads for assigned positions on multiple job boards
Actively source and recruit talent for assigned positions in Sifted cities online and in the local community
Manage the hiring pipeline, including conducting phone screens and making offers of employment
Complete onboarding on new hires, including orientation meetings and ensuring smooth onboarding in payroll/HRIS
Assist People Operations Generalist with ad hoc administrative duties as needed
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Lead Machine Learning Engineer, Earth System
Semantic Scholar is a free, AI-powered research tool for scientific literature, helping scholars search and discover new insights efficiently.
Benefits:
Medical, dental, vision, life, and disability insurance
401k plan
Monthly allowance for commuting/internet and fitness/wellbeing
Generous paid time off (sick, personal, vacation, holidays)
Annual bonuses and long-term incentive plan
Education Requirements:
Bachelor’s degree in Computer Science, ML/AI, or relevant technical field, or equivalent practical experience
Ph.D., research background in ML/AI in CS or AI, or relevant technical field (preferred)
Experience Requirements:
5+ years experience working in ML
Experience building, scaling, and optimizing enterprise-grade ML/AI systems
Experience coding in Python, C/C++, or other similar languages
Experience communicating AI research and development to non-technical audiences
Expertise in geospatial AI, such as remote sensing and/or ML for geospatial trajectories
Other Requirements:
Move fluidly between AI research and production engineering
Deeply experienced in one or several areas in foundational machine learning research, and production-scale deployment
Operate with autonomy and a bias toward action, iterating quickly while ensuring long-term sustainability
Enjoy working in a highly collaborative environment
Responsibilities:
Advancing foundation models for geospatial intelligence
Addressing domain adaptation, low-resource settings, and high-impact decision-making
Minimizing the cost of annotating high-quality, large-scale geospatial datasets
Scaling model training and inference responsibly, efficiently, and cost-effectively
Building robust AI-first tools that enable scientists, policymakers, and conservationists to generate actionable intelligence
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Senior Partner Marketing Manager
Kore.ai is an enterprise AI company that provides a powerful agent platform and no-code tools to help businesses drive value from AI in work, service, and process optimization.
Education Requirements:
Bachelor’s Degree or equivalent years of experience required
MBA preferred
Experience Requirements:
Minimum 8+ years of experience in partner marketing within the technology industry and with a strong focus on hyperscaler partnerships (Microsoft, AWS, Google) required
Strong understanding of cloud platforms, AI technologies (especially Generative AI), and enterprise software solutions required
Previous experience & proven ability to develop and execute successful joint GTM strategies and marketing campaigns with technology partners required
Demonstrated experience in developing compelling value propositions and joint messaging with partners
Experience with a variety of marketing tactics and channels, including digital marketing, content marketing, events, and partner portals
Other Requirements:
Currently residing in Seattle or San Francisco Bay area required
Excellent relationship management and communication skills, with the ability to build rapport and influence stakeholders at all levels, both internally and externally required
Ability to manage multiple competing priorities and work effectively under the pressure of time constraints in a fast-paced, complex, collaborative, and team-oriented environment
Comfortability with ongoing change, the AI industry changes constantly, and we need to be able to pivot while maintaining a clear strategy
Analytical skills with the ability to track, measure, and report on the effectiveness of marketing programs
Responsibilities:
Collaborate closely with partner leadership, partner account executives, sales, and product marketing teams to define and execute joint GTM strategies aligned with our overall business objectives and the specific strengths of each hyperscaler partnership
Create comprehensive joint marketing plans encompassing market awareness programs, demand generation initiatives, and co-selling activities focused on key verticals such as Financial Services, Healthcare, Telco, and Travel & Hospitality
Develop compelling joint value propositions and messaging that articulate the unique benefits of Kore.ai's GenAI solutions built on and integrated with hyperscaler platforms like Microsoft Azure, AWS, and Google Cloud
Coordinate and launch a range of targeted marketing programs, including webinars, joint whitepapers, co-branded content, email campaigns, social media initiatives, website updates, and participation in industry events and tradeshows
Design and implement effective partner marketplace listings that clearly articulate our joint value proposition, positioning, lead generation strategies, and competitive differentiation within the hyperscaler ecosystems
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Sales Specialist
COUNT is an AI automation tool for high-volume accounting, helping teams eliminate manual work, serve more clients, and boost profits without adding headcount.
Benefits:
Medical, Vision, and Dental plans
Voluntary Life and AD&D for self and spouse/domestic partner
Voluntary Short-Term and Long-Term Disability Insurance
401(k)
Paid Time Off
Experience Requirements:
Proven experience in Business, Sales, Marketing, or a related field
At least 2 years of accounting experience (preferably in a customer-facing role)
2+ years of experience in a sales role, preferably within SaaS or startup environments
Strong track record of meeting and exceeding sales targets
Other Requirements:
Excellent communication and negotiation skills, with the ability to tailor messages to different audiences
Comfortable working in a fast-paced, dynamic environment
Self-motivated, goal-oriented, and able to work independently
Experience with accounting software and/or financial technology is a plus
Familiarity with CRM systems (e.g., Salesforce, HubSpot)
Responsibilities:
Identify and research potential leads within the accounting industry
Conduct sales presentations and product demonstrations to prospective clients
Manage the sales process from initial engagement to closing
Build strong, long-lasting relationships with clients
Meet or exceed sales targets and KPIs
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Backend Engineer
Practicus AI is a unified platform for Generative AI and Data Intelligence, offering tools for model building, deployment, data analysis, and machine learning in a secure, scalable environment.
Experience Requirements:
5+ years experience in building distributed backend systems
2+ years Big data experience
2+ years Python experience
Responsibilities:
This is an umbrella role for different types of backend applications including;
Our macOS, Windows and Linux applications
Micro services development for our web applications
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Front End Engineer
Practicus AI is a unified platform for Generative AI and Data Intelligence, offering tools for model building, deployment, data analysis, and machine learning in a secure, scalable environment.
Experience Requirements:
2+ years experience building applications with impressive user experiences
2+ years of Python experience for both QT and Django roles
For Django only: HTML, Javascript, CSS experience
Responsibilities:
Building our QT based App forWindows, macOS and Linux
OR Building our Django based web application
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Data Engineer
Practicus AI is a unified platform for Generative AI and Data Intelligence, offering tools for model building, deployment, data analysis, and machine learning in a secure, scalable environment.
Experience Requirements:
2+ years experience with Python
Experience with Airflow or similar orchestration engines
Responsibilities:
Supporting our customers build their data pipelines using Practicus AI
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Data Scientist
Practicus AI is a unified platform for Generative AI and Data Intelligence, offering tools for model building, deployment, data analysis, and machine learning in a secure, scalable environment.
Experience Requirements:
2+ years experience with real life classic Machine Learning experimentation
Production grade modeling experience
Responsibilities:
Supporting our customers with their data science experimentations
Delivering 100 level introduction to Data Scince training
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DevOps Engineer
Practicus AI is a unified platform for Generative AI and Data Intelligence, offering tools for model building, deployment, data analysis, and machine learning in a secure, scalable environment.
Experience Requirements:
3+ years experience working with Unix Linux systems from kernel to shell and beyond
3+ scripting experience in Shell and Python
2+ years of Kubernetes experience
Responsibilities:
Create, manage and integrate software to automate and secure Kubernetes environments
Develop solutions that can support large capacity and scale reliably, in a 24/7 environment
Collaborate with the Information Security and Software development teams to support operational capabilities
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Software Engineer
Finpilot is an AI-powered intelligent document processing tool for finance. It accelerates workflows with higher accuracy.
Benefits:
Competitive salary with fully covered health benefits (including dental and vision)
Above-market equity
Opportunity to define and lead AI products for the asset management industry
Experience Requirements:
Strong programming skills across the full stack
Proven track record building impactful projects or production code
Experience with our tech stack: Python, React/TypeScript, AWS, PostgreSQL, MongoDB
Responsibilities:
Drive core product development across our full stack (Python, React/TypeScript, AWS, PostgreSQL, MongoDB)
Build systems where financial accuracy is non-negotiable
Improve retrieval and context systems to efficiently process financial information at scale
Design agent architectures to coordinate complex financial tasks
Implement verification processes for AI outputs Create integrations with critical financial applications
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Account Executive
Hive AI provides cloud-based AI models and solutions for content understanding, search, and generation, with flexible pricing and seamless integration.
Benefits:
Competitive pay
Equity
Catered meals
Comprehensive insurance
Corporate gym membership
Education Requirements:
Bachelor's degree
Experience Requirements:
4+ years of work experience selling cloud-based software products, preferably at a high growth start-up or large enterprise
Proven ability to work long workweeks when needed
Deep interest in machine learning and AI
Successful in building relationships; customer obsessed
Highly self-motivated and have demonstrated success in a competitive environment
Other Requirements:
Strong team player, but can work and execute independently
Excellent written and verbal communication skills
Driven
Hungry to learn and actively look for opportunities to contribute
Highly organized and detail-oriented; can handle multiple projects and dynamic priorities without missing a beat
Responsibilities:
Partner with Business Development Team to research, identify, and generate new business opportunities in order to build and manage a robust sales funnel
Thoroughly analyze target markets for key use verticals, and execute effective sales tactics to drive expansion opportunities within both existing and potential customer base
Host events to nurture existing client relations as well as enhance awareness of Hive’s products/services to new markets
Work closely with Hive’s senior leadership team to build and maintain alignment on business priorities
Manage complex sales process end-to-end, from lead generation to negotiating deals to onboarding, while providing excellent customer service
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Software Engineer
AI-powered clinical notes for veterinarians. Generate SOAP notes in seconds, saving time and improving patient care.
Benefits:
You get excited and take pride in working on something that is changing people's lives for the better.
You are energetic, willing to put in the work and enjoy the fast-paced nature of a startup.
You love animals and are familiar - or want to get deeply familiarized - with the veterinary medicine industry.
As an early-stage member of the team, you get to influence the product, the direction of the company, hiring, and the forming of new teams
Experience Requirements:
1+ years
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Senior Director, Commerce
AI-powered retail media optimization software for Amazon, Walmart, and other marketplaces, automating campaigns and maximizing ad spend efficiency.
Benefits:
Competitive rewards package
Unparalleled career growth opportunities
Supportive, fun and engaging culture
Office hubs across the globe
Flexible vacation time
Education Requirements:
Bachelor’s Degree or higher
Experience Requirements:
7+ years of Digital Commerce and CPG/FMCG experience
Other Requirements:
Industry leading domain expertise in both Retail and Media functions
Excellent communication and interpersonal skills
Solution oriented mindset
Strong team management experience
Comfortable with ambiguity
Results driven with strong customer focus
Team player
Intellectually curious
Bias for action
Proactive and independently motivated
Responsibilities:
Lead the designated clients at Flywheel
Collaborate with Omnicom leaders
Interface directly with Amazon and other retailers
Constantly seek ways to improve team’s operating efficiency
Collaborate with Flywheel leaders
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Principal Software Engineer
AI-powered customer experience platform that analyzes feedback from various channels to detect emerging problems and prioritize solutions.
Benefits:
Health insurance (100% medical, dental, vision)
401k with matching
Flexible vacation policy
Scooter reimbursement
Orca card sponsorship (if you prefer bussing over scooting!)
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Senior Software Engineer - Full Stack
AI-powered customer experience platform that analyzes feedback from various channels to detect emerging problems and prioritize solutions.
Benefits:
Health insurance (100% medical, dental, vision)
401k with matching
Flexible vacation policy
Scooter reimbursement
Orca card sponsorship (if you prefer bussing over scooting!)
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Senior Data Engineer - Integrations
Rockerbox unifies marketing measurement with MTA, MMM, and incrementality testing, centralizing data for a complete performance view.
Benefits:
$175,000 base salary
Equity options
Remote-first - work anywhere in the US
Health, vision, and dental insurance
Unlimited PTO
Experience Requirements:
7+ years of experience as a Data Engineer
Other Requirements:
deep expertise in AWS services (Redshift preferred)
proficient with Python and have experience working with Kubernetes (K8s)
comfortable ingesting data from third-party APIs and familiar with modern orchestration tools (e.g., Airflow)
comfortable with Infrastructure as Code (e.g., Terraform)
experience mentoring engineers and enjoy sharing your knowledge, particularly in areas like data warehousing, pipelines, and architecture
product mindset, balancing technical excellence with business needs to deliver scalable solutions
communicate complex topics clearly, whether you’re writing technical specs or aligning stakeholders around a project plan
Responsibilities:
Scope and own projects to build, improve, and maintain scalable data ingests and pipelines
Design and implement solutions that are resilient, well-monitored, and cost-effective
Lead technical initiatives, working closely with Product Managers and cross-functional teams to develop clear, detailed technical specifications
Share knowledge with your peers through design and code reviews, fostering a culture of continuous learning
Stay curious—evaluate emerging technologies and tools to improve efficiency and effectiveness in our engineering processes
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Account Executive
Rockerbox unifies marketing measurement with MTA, MMM, and incrementality testing, centralizing data for a complete performance view.
Benefits:
Base salary + commission plan (50-50 OTE split)
Remote-first - work anywhere in the US
Health, vision, and dental insurance
Unlimited PTO
10 Paid Holidays
Experience Requirements:
3+ years of experience as an account executive in SaaS sales
experience navigating six to seven figure ACV sales processes with large, complex customer prospects
experience working in early-stage startups and are comfortable navigating ambiguity
Other Requirements:
entrepreneurial, proactive, and thrive in a fast-paced, high-growth environment
top performer in your current role, with strong communication skills and a consultative sales approach
technical curiosity to learn and explain complex concepts, such as how we pixel a site or the basics of a data warehouse implementation
team-first mindset and are eager to help others succeed while simultaneously driving your own results
Responsibilities:
Own the sales cycle end-to-end: qualify opportunities, run product demos, negotiate terms, and close enterprise level deals
Work both inbound leads generated by the SDR team and self-sourced opportunities
Apply a consultative approach to uncover customer needs and provide tailored solutions, particularly in large, complex organizations with multiple layers of stakeholders involved
Efficiently manage a pipeline of prospective customers, ensuring accurate sales forecasting
Achieve and exceed ambitious monthly quotas, demonstrating consistent performance
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Research Engineer, OLMo
Ai2 is a non-profit AI research institute focused on open models, data, and real-world impact.
Benefits:
Team members and their families are covered by medical, dental, vision, basic life insurance, basic accidental death and dismemberment insurance, short-term disability, long-term disability, and an employee assistance program.
Team members are able to enroll in our voluntary life insurance program, our voluntary accidental death and dismemberment program, our health savings account plan, our healthcare reimbursement arrangement plan, and our health care and dependent care flexible spending account plans.
Team members are able to enroll in our company’s 401k plan.
Team members will receive $125 per month to assist with commuting or internet expenses and will also receive $200 per month for fitness and wellbeing expenses.
Team members will also receive up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year and twelve paid holidays throughout the calendar year. Team members will be able to receive annual bonuses and can participate in the long-term incentive plan.
Education Requirements:
Bachelor's degree in Computer Science or relevant engineering experience.
JD
Licensed to practice law in Washington State
PhD
Experience Requirements:
A minimum of 2 years of software development experience.
3+ years of transactional experience in a law firm or corporate environment
Experience and/or interest in project management to establish or improve processes and streamline legal team efforts with existing workflows in the company
Experience building and deploying a relevant ML application in a practical or academic research setting
At least one first-authored publication making extensive use of ML
Other Requirements:
Knowledge of modern deep learning and natural language processing techniques.
Strong software engineering skills, particularly around building performant systems and debugging.
Experience with Python and PyTorch.
Familiarity with software using container technologies (e.g. Docker) to deploy web-based services.
Proficiency in technology transactions, including software and IP licensing
Self-starter: Does not need daily directions or close supervision to make decisions
Skilled in working with ambiguity
Start-up mentality; adaptable, can pivot quickly
Comfortable identifying and solving for risks
Ability to adjust rapidly to new strategies and approaches for building support in a fast-moving environment
Excellent presentation and facilitation skills: polished, concise, catered messages to different audiences
Ability to build strong relationships with leaders at all levels to obtain successful outcomes and move the business forward
Google Suite product experience
Ability to work on complex issues where problems are not clearly defined and where fundamental principles do not fully apply
Substantial experience building and deploying a relevant ML application in a practical or academic research setting
Fluent in Python and collaborative coding practices
Demonstrated excellent communications skills
Formal training and/or practical experience with physically-based atmospheric, oceanic, or related model development
Previously held a professional or post-doctoral position using your machine learning skills
Formal graduate-level ML coursework
Responsibilities:
Building infrastructure to facilitate the next generation of LLM research.
Optimizing training and inference for language models.
Developing infrastructure to deduplicate and analyze datasets at scale.
Triaging between experiments and executing on the most impactful.
Supporting and collaborating with an open-source community.
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Research Engineer, Semantic Scholar
Ai2 is a non-profit AI research institute focused on open models, data, and real-world impact.
Benefits:
Team members and their families are covered by medical, dental, vision, basic life insurance, basic accidental death and dismemberment insurance, short-term disability, long-term disability, and an employee assistance program.
Team members are able to enroll in our voluntary life insurance program, our voluntary accidental death and dismemberment program, our health savings account plan, our healthcare reimbursement arrangement plan, and our health care and dependent care flexible spending account plans.
Team members are able to enroll in our company’s 401k plan.
Team members will receive $125 per month to assist with commuting or internet expenses and will also receive $200 per month for fitness and wellbeing expenses.
Team members will also receive up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year and twelve paid holidays throughout the calendar year. Team members will be able to receive annual bonuses and can participate in the long-term incentive plan.
Education Requirements:
BS or higher in Computer Science or a related field (MS a plus)
Experience Requirements:
2+ years of experience implementing machine learning or AI (including at least one year of prompt engineering and/or fine-tuning large language models)
Other Requirements:
Strong software engineering skills. Experience with system building (e.g., web application frameworks) or deep learning frameworks (e.g., PyTorch, Tensorflow). Contributions to open-source research libraries (e.g., spaCy, Hugging Face’s Transformers) are a plus.
A passion for using AI to deliver high-quality products and user experiences
Responsibilities:
Build infrastructure that powers groundbreaking research with real-world impact on accelerating science
Conduct ML/AI/HCI experiments for research projects
Implement and share open-source software to improve access to our research,
Collaborate with and learn from team members across Ai2, including scientists and engineers,
Mentor early-career researchers, engineers, and interns on their projects, and Contribute toward scientific papers for publication in high-profile computing conferences and journals
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Senior Software Engineer, AI Infrastructure
Ai2 is a non-profit AI research institute focused on open models, data, and real-world impact.
Benefits:
Team members and their families are covered by medical, dental, vision, basic life insurance, basic accidental death and dismemberment insurance, short-term disability, long-term disability, and an employee assistance program.
Team members are able to enroll in our voluntary life insurance program, our voluntary accidental death and dismemberment program, our health savings account plan, our healthcare reimbursement arrangement plan, and our health care and dependent care flexible spending account plans.
Team members are able to enroll in our company’s 401k plan.
Team members will receive $125 per month to assist with commuting or internet expenses and will also receive $200 per month for fitness and wellbeing expenses.
Team members will also receive up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year and twelve paid holidays throughout the calendar year. Team members will be able to receive annual bonuses and can participate in the long-term incentive plan.
Experience Requirements:
6+ years developing highly available software in a professional setting
Other Requirements:
Proficiency in Golang, Python, SQL, shell scripting and linux server administration
A strong understanding of running containerized workloads (Docker)
Experience debugging live systems
Familiarity with cloud infrastructure (GCP, AWS)
Excellent writing and collaboration skills
Responsibilities:
Designing critical systems that solve emerging requirements of cutting-edge research projects while partnering closely with stakeholders
Delivering software changes, from inception to release
Contributing to Beaker, our custom job orchestrator written in Go
Operating a fleet of state of the art GPU servers and supporting infrastructure (storage, networking, etc)
Reviewing code and design documents; mentoring team members
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