Education Requirements:

• Bachelor’s degree is required

• MBA preferred

Experience Requirements:

• 15+ years of experience in your practice, with preferably 5+ years in a leadership role within data and AI-focused services

• 3+ years managing a business, preferably with P&L responsibility

• Strong knowledge of data management, AI governance, machine learning, and AI-driven analytics techniques and technologies, and Generative AI (e.g., large language models, fine-tuning, retrieval-augmented generation)

• In-depth knowledge of statistical methodologies, deep learning algorithms, and AI applications in real-world business contexts

• Proficiency in using AI and data science tools (e.g. Python, TensorFlow, PyTorch, SQL, Tableau, etc.)

Other Requirements:

• Experience in marketing, finance, healthcare, or e-commerce industries

• Experience packaging, pricing, and delivering compelling solutions

• Passion for AI innovation and ability to drive thought leadership in the field

• Proven ability to lead collaboratively and operate in a high-growth environment

• Skilled in articulating a strategy with a strong, agile execution plan

• Comfortable with rolling up your sleeves to do the work, demonstrate traction, and build a team over time

• Demonstrated success in making data-driven decisions and defining key metrics to measure progress

• Ability to walk in the shoes of your audience in order to understand their challenges, develop/execute an approach to solve them, and articulate the solution in a clear and compelling way

• Refined relationship development & leadership skills with a track record of success in building credibility across all levels of an organization

• Confidence in your analytical abilities, with proven success in delivering results in ambiguous and sophisticated project efforts

• Skilled in the art of communicating (written and verbal) with both technical and non-technical audiences

• Ability to work in a fast-paced, rapidly growing company and handle a wide variety of challenges, deadlines, and a diverse array of contacts

Responsibilities:

• Set the vision, own the P&L, develop the Go-to-Market strategy, and drive the growth of your practice

• Develop attractive, scalable offerings that resonate with specific customer segments

• Take services and offerings to market; first, by leading from the front to establish product-market fit with our clients, and then by working with our Practices Operations team to scale adoption and the commercial impact of offerings

• Develop thought leadership and campaigns that highlight our competitive differentiation, elevate our reputation in the market, attract great talent to our network, and generate leads for sales

• Understand current and future demand and enable, educate, and directly support the sales force to position this practice best

Education Requirements:

• Bachelor’s degree is required

• MBA preferred

Experience Requirements:

• 15+ years of experience in cybersecurity, information security, or risk management, with at least 5+ years in a leadership role within information security services

• 3+ years managing a business, preferably with P&L responsibility, and proven track record for overseeing financial performance, identifying areas for improvement, and driving profitability and growth

• Proven ability to build and scale cybersecurity service offerings in a consulting, technology services, or enterprise environment

• Deep expertise in security frameworks (e.g., NIST, ISO 27001, CIS, SOC 2, GDPR, CMMC, HIPAA, HITRUST)

• Strong understanding of cloud security, network security, application security, and threat intelligence

Other Requirements:

• Knowledge of emerging trends in AI security, zero-trust architectures, and supply chain security

• Experience with enterprise network monitoring, network security controls, and secure network design

• Understanding of network segmentation, microsegmentation, and network access control (NAC)

• Expertise in security risk assessments, penetration testing, incident response, and compliance consulting

• Ability to develop strong relationships with enterprise clients and executives to drive cybersecurity consulting engagements

• Proven ability to lead collaboratively and operate in a high-growth environment

• Skilled in articulating a strategy with a strong, agile execution plan

• Comfortable with rolling up your sleeves to do the work, demonstrating traction, and building a team over time

• Demonstrated success in making data-driven decisions and defining key metrics to measure progress

• Ability to walk in the shoes of your audience in order to understand their challenges, develop and execute an approach to solve them, and articulate the solution in a clear and compelling way

• Strong ability to translate complex security concepts into actionable business strategies for non-technical stakeholders

• Refined relationship development & leadership skills with a track record of success in building credibility across all levels of an organization

• Strong problem-solving skills and a data-driven decision-making approach

• Confidence in your analytical abilities, with proven success in delivering results in ambiguous and sophisticated project efforts

• Skilled in the art of communicating (written and verbal) with both technical and non-technical audiences

• Ability to work in a fast-paced, rapidly growing company and handle a wide variety of challenges, deadlines, and a diverse array of contacts

Responsibilities:

• Own this practice and be responsible for all aspects of its growth. Define ambitious goals, chart a course, and be empowered to work across organizational lines to build a world-class practice

• Develop thought leadership and campaigns that highlight our competitive differentiation, elevate our reputation in the market, attract great talent to our network, and generate leads for sales

• Understand current/future demand and enable, educate, and directly support the salesforce to best position this practice

• Lead the business from a sales, revenue, and profitability perspective by understanding the key P&L levers

• Drive the success of consulting projects by owning both sales and delivery end-to-end

Benefits:

• Lunch, dinner and snacks at the office.

• Fully covered medical, dental, and vision insurance for employees.

• 401(k).

• Relocation and immigration support.

Responsibilities:

• Conduct cutting-edge research at the intersection of machine learning, multimodal data, and generative modeling to advance the state of AI across audio, text, vision, and other modalities.

• Develop novel algorithms for multimodal understanding and generation, leveraging new architectures, training algorithms, datasets, and inference techniques.

Benefits:

• Lunch, dinner and snacks at the office.

• Fully covered medical, dental, and vision insurance for employees.

• 401(k).

• Relocation and immigration support.

Responsibilities:

• Conduct groundbreaking research in neural network architecture design to advance the state-of-the-art (SOTA) in alternative architectures (e.g., state space models, efficient Transformers, hybrid architectures).

• Design novel architectures that improve model quality, inference efficiency, and adaptability across diverse deployment environments, from cloud to on-device.

Benefits:

• Lunch, dinner and snacks at the office.

• Fully covered medical, dental, and vision insurance for employees.

• 401(k).

• Relocation and immigration support.

Responsibilities:

• Conduct cutting-edge research to improve the efficiency, scalability, and robustness of inference for state-of-the-art AI models across various modalities, including audio, text, and vision.

• Design and optimize inference pipelines to balance performance, latency, and resource utilization in diverse deployment environments, from edge devices to cloud systems.

Benefits:

• Lunch, dinner and snacks at the office.

• Fully covered medical, dental, and vision insurance for employees.

• 401(k).

• Relocation and immigration support.

Responsibilities:

• Lead the design and creation of high-quality datasets tailored for training cutting-edge audio models, focusing on tasks such as speech recognition, enhancement, separation, synthesis, and speech-to-speech systems.

• Develop strategies for curating, augmenting, and labeling audio datasets to address challenges like noise, variability, and diverse use cases.

• Design innovative data augmentation and synthetic data generation techniques to enrich training datasets and improve model robustness.

Benefits:

• Lunch, dinner and snacks at the office.

• Fully covered medical, dental, and vision insurance for employees.

• 401(k).

• Relocation and immigration support.

Experience Requirements:

• At least 5 years of experience in implementing and training models including advanced degrees (MS/PhD, if any).

Responsibilities:

• implement new model backbones, architectures and training algorithms,

• rapidly run and iterate on experiments and ablations,

• build training infrastructure that scales to massive multimodal datasets,

• stay up-to-date on new research ideas.

Benefits:

• Health Insurance (Allianz)

• Stay Healthy subsidy (for gym and sports)

• Unlimited PTO

• Paid Paternity and Maternity Leave

Experience Requirements:

• 6+ years of experience in security research, threat intelligence, or vulnerability analysis.

• Experience conducting in-depth security research on emerging threats, vulnerabilities, and attack techniques.

• Strong expertise in reverse engineering, malware analysis, and exploit development.

• Deep understanding of operating system internals, network security, and cryptography.

• Familiarity with security frameworks and methodologies such as MITRE ATT&CK.

Other Requirements:

• Strong analytical skills with the ability to communicate complex security concepts effectively.

Responsibilities:

• Work closely with security teams to implement defensive capabilities and response strategies for an AI product.

• Publish research findings through technical reports, whitepapers, or at security conferences.

• Collaborate with the broader security community to share insights and best practices.

• Stay current with the latest cybersecurity trends, adversarial tactics, and defense mechanisms.

Benefits:

• Generous equity package

• Unlimited PTO (take time when you need it)

• Top-of-market salary

• Great healthcare

Experience Requirements:

• An incredibly strong AI Applied Researcher with experience building complex AI applications.

• Experience with LLMs, Agents, RAG, NLP, ML algorithms

• Strong experience of leading research projects from PoC stage to production.

Other Requirements:

• Ability to roll up your sleeves and get things done.

• A great communicator and team player.

Responsibilities:

• Lead the research and optimization of agentic flows to solve complex problems

• Perform PoCs using bleeding edge technologies to empower our product

• Build and optimize retrieval-augmented generation (RAG) service to improve the consistency and quality of our pipelines.

• Fine tune LLMs to optimize accuracy and cost

Benefits:

• Generous equity package

• Unlimited PTO (take time when you need it)

• Top-of-market salary

• Great healthcare

Experience Requirements:

• An incredibly strong AI Applied Researcher with experience building complex AI applications.

• Experience with LLMs, Agents, RAG, NLP, ML algorithms

• Strong experience of leading research projects from PoC stage to production.

Other Requirements:

• Ability to roll up your sleeves and get things done.

• A great communicator and team player.

Responsibilities:

• Lead the research and optimization of agentic flows to solve complex problems

• Perform PoCs using bleeding edge technologies to empower our product

• Build and optimize retrieval-augmented generation (RAG) service to improve the consistency and quality of our pipelines.

• Fine tune LLMs to optimize accuracy and cost

Benefits:

• Working in a young and interdisciplinary start-up team

• Lots of responsibility and creative freedom right from the start

• clear career plan with defined goals

• Exploring the future fields of “artificial intelligence” and “circular economy”

• Active contribution to climate protection & circular economy Active involvement in decisions Team spirit and a family atmosphere

Education Requirements:

• Master's degree or PhD in computer science, data science, artificial intelligence, mechanical engineering or a related field

Experience Requirements:

• 5 years of proven experience in the development of complex software projects

• At least 3 years of professional experience in the development and shipment of AI algorithms in the field of computer vision Experienced in the independent development of software projects

• Several years of professional experience in the development and implementation of AI models and algorithms.

Responsibilities:

• ​Holistic and independent development and shipment of AI models to the customer using our existing data pipeline as well as improvement and extension of existing models Data acquisition, support in annotation processes Further development of data and training pipelines as well as our data workspace Design of AI algorithms (architectures, training procedures, etc.), hyperparameter optimization as well as measurement and implementation of performance-enhancing measures Software-side implementation of AI algorithms in Python with PyTorch Development of interfaces and integration of algorithms in real-time applications Management and maintenance of cloud training environment and data pipeline (Microsoft Azure) Technology stack: Python, PyTorch, PyTorch-Lightning, Azure-ML, Docker, Jupyter notebooks, etc. Technology scouting and active participation in technology decisions Work in autonomous Scrum teams in flat hierarchies with plenty of room to help shape things Collaboration in agile processes with colleagues as well as national and international partners and customers. Willingness to travel to customers and desire to develop the team on site

Education Requirements:

• BA / BS degree in a quantitative field (Math, Stats, Physics, Computer Science) with 5+ years of relevant experience, or a PhD in a related field with 2+ years of experience.

Experience Requirements:

• Understanding and application of statistical concepts in A|B testing, causal inference, ML, etc.

• Previous experience in analyzing and working with over 10 terabytes of data

• Expert level experience with data analysis in SQL and Python

• Experience with claims data is required

• Strong familiarity with healthcare organizations calculations like STARS, HEDIS, HCC, Cost, and Risk Adjustment.

Other Requirements:

• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

Responsibilities:

• Act as a strategic partner to assist with ML model development, evaluation and performance

• Carry out exploratory analysis and data visualization and summarize analysis results.

• Conduct comprehensive exploratory analysis, data visualization, and effectively communicate analysis outcomes.

• Apply rigorous statistical methods for bias and drift analysis, cohort analysis, etc.

Education Requirements:

• BA / BS degree in a quantitative field (Math, Stats, Physics, Computer Science) with 2+ years of experience.

Experience Requirements:

• Understanding and application of statistical concepts in A|B testing, causal inference, ML, etc.

• Previous experience in analyzing and working with over 10 terabytes of data

• Expert level experience with data analysis in SQL and Python

Other Requirements:

• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

Responsibilities:

• Act as a strategic partner to assist with ML model development, evaluation and performance

• Carry out exploratory analysis and data visualization and summarize analysis results.

• Conduct comprehensive exploratory analysis, data visualization, and effectively communicate analysis outcomes.

• Apply rigorous statistical methods for bias and drift analysis, cohort analysis, etc.

Benefits:

• Healthcare, dental, and vision insurance for your entire family (100% premiums paid for employees; 80% for dependents)

• Equity (stock options) valued between $50,000 - $150,000.

• Unlimited vacation and 15+ company holidays per year

• Work directly with the founders

Experience Requirements:

• Strong background in research and data analysis, preferably in the healthcare domain.

• You’ve built numerous side projects that deal with data and applications, ideally in healthcare.

• Proficiency in statistical analysis and data visualization tools.

• Experience with querying and analyzing healthcare data using tools like Athena, Python.

Other Requirements:

• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Responsibilities:

• Evaluate and compare the performance of our large medical model (LMM) against Large Language Models (LMM) and existing risk adjustment methodologies to identify strengths and areas for improvement.

• Develop a deep understanding of Medicare, Medicare Advantage, Medicaid and commercial insurance models and analyze their differences and implications for our model.

• Utilize data querying tools such as Athena, DuckDB and Polars to extract and analyze relevant healthcare data.

• Create informative and visually appealing graphs, charts, and reports to present research findings and insights.

Benefits:

• Medical insurance

• Vision insurance

• Dental insurance

• 401(k)

• Paid paternity leave, work-life balance support, flexible hours

Education Requirements:

• Chemistry, engineering or other related science degree

Experience Requirements:

• A self-starter with proven critical thinking, problem solving skills and attention to detail

Other Requirements:

• Proficiency in MS Office

• Strong communication skills both written and verbal

• Quick learner, coachable and adaptable; must be able to retain and apply new information quickly

• Strong demonstrated ability to research

Responsibilities:

• Develop formulas, product specifications, processing parameters and create functionality studies for new maintenance chemicals.

• Conduct field trials and collaborate with internal and external customers to evaluate new products/system performance, assist in preparation of reports/presentations.

• Develop standard operating procedures, compatibility studies and evaluation of new equipment.

• Oversee the testing of physical attributes, stability, and performance of products.

• Recognize early failures and discuss with program leader.

Education Requirements:

• degree in a quantitative or business discipline

Benefits:

• Competitive Salary Offering

• Company Equity Package

• Hybrid Workplace Model

Benefits:

• Competitive Salary Offering

• Company Equity Package

• Hybrid Workplace Model

Education Requirements:

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

Experience Requirements:

• 4+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data

• Extensive experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modeling, Forecasting, Econometrics or other related fields

• Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learn

• Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R)

Responsibilities:

• Develop best practices for instrumentation and experimentation and communicate those to product engineering teams to help us fulfill our mission - to bring everyone the inspiration to create a life they love

• Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners

• Build and prototype analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development

• Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest

Benefits:

• Big impact - join us to define a novel industry.

• Flexible schedule with a global, remote team.

• Work on products that matter to people. Unleash the creativity of millions, create solutions loved by users!

Other Requirements:

• You are passionate about empowering people's creativity with AI.

• Generative models are no strangers to you. You are experienced with at least one of the following: face reenactment, pose transfer, animation synthesis, 2D-to-3D conversion.

• You can train, tune, and deploy deep-learning models. Building novel prototypes and productionizing them to serve millions of users is what gets you excited.

• You love solving open challenges with a "hacker" mindset. Expanding your comfort zone is what you do on a daily basis.

• You are result-oriented. Fail fast, learn fast, and ship fast.

• You are a team player.

• You speak and write fluently in English.

• You live anywhere in the world and fully embrace remote work.

Responsibilities:

• Make science fiction a reality, using AI. You will be one of our key researchers contributing to the generative tech stack. You will review the latest ML research, build prototypes, test and work with the engineer team to productionize them. What you build will directly wow our users.

• You will work on state-of-the-art generative technologies to create frictionless experiences for creating visual content. Projects include: face reenactment, pose transfer, animation synthesis, 2D-to-3D conversion, etc.

• You will be challenged to think out-of-the-box and to fulfil out users' needs in creative ways.

• You will contribute to the core product roadmap and build the next generation content creation platform.