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About us

We hold the key to making quantum useful! Q-CTRL is a company with a deep start-up spirit with offices in Sydney, Los Angeles and Berlin. Our goal is to revolutionize the quantum future of technology by delivering transformational, real-life outcomes for the world’s most innovative and impactful industry. Simply put, we make quantum technology useful.  

We’re led by our values; to be real, be trusted, be just, and be revered. They guide us in everything we do - how we work together and how we shape the future of the quantum field. We want the best talent in the world to join our team - from operations, product, design and marketing through to quantum research.  So whether you’re a quantum expert or simply unsure where you fit into a business like ours, we want to hear from you!

About the role:

As a Research Scientist, you’ll be responsible for developing solutions for quantum technologies and deploying them in the Q-CTRL product suite.

What you'll be doing:

• Develop efficient and reliable methods and tools that solve challenges facing real quantum computers.
• Implement and innovate the latest techniques and algorithms from machine learning and quantum control. In particular, you will use these tools for improving the performance of real devices, quantum algorithms, near-term quantum applications, and quantum error correction schemes.
• Collaborate with your colleagues in the Quantum product team and Quantum Professional Services in order to better direct the research goals. 
• Explain and document sophisticated control and machine learning solutions in accessible language.
• Use numerical packages like NumPy, Scipy, Tensorflow, and Scikit-learn to build high-quality research code to develop, test, and demonstrate new algorithms and methods.

• A Research Scientist should have a PhD in Physics, CS, Engineering, or a closely related discipline.
• Candidates with a bachelor's degree in these disciplines are encouraged to apply, and will be considered for a mid-level role.
• You have at least 1-3 years of experience conducting research and ideally some publications to your name or a presentation track record in recognized academic journals/conferences in a relevant field.
• Familiarity with at least one of the quantum computing platforms, such as, superconducting circuits, trapped ions, neutral atoms, photonics is highly regarded
• A keen understanding of Quantum/Optimal control or Machine Learning tools for optimization, optimal selection and model learning.
• You have a background in quantum algorithms and applications ideally working within a Python environment (highly desirable, but not essential)
• Familiarity in executing circuits in Qiskit is also highly desirable, but not essential

The base salary for this full-time position ranges from $82,500 - $198,000. This range reflects both the minimum and maximum annual target salary which is based on a number of factors such as experience, job related-skills, education and work location.

Please note, the base salary range provided does not include additional benefits, bonuses, employee stock options or any other forms of compensation which may be offered dependent on position level.

Why Q-CTRL?

Flexibility: We embrace workplace flexibility so you worry more about your global impact vs a rigid work schedule

Attractive salary: You’ll get to live the start-up life without start-up wages

Equity: We want people to have a sense of ownership in what they do and offer the potential for equity share and annual bonuses

Resources: We are well funded by the world’s best technology investors, letting us chase our ambitions with minimal constraints

Parental support: We offer paid parental leave to support you and your loved ones!

Diversity: We’re an equal employment opportunity employer. We value diversity, inclusion and providing equal opportunities to all, actively supporting initiatives like the ‘Global Women in Quantum’ program among others 

Unique culture: You’ll be surrounded by some of the world’s leading physicists, engineers, product, marketing and design people (to name a few!) with a strong desire to learn and transfer knowledge

Meaningful values: You’ll work with an incredibly supportive team who work consistently to deliver our core values to be real, be trusted, be just and to be revered 

Personal development: We provide you with a personal development and wellness budget 

Impactful work: Last but not least! You’ll have the opportunity to work in the world’s leading field of technology and truly make an impact that matters! 

Please note: Q-CTRL is an Equal Employment Opportunity employer that values the strength diversity brings to the workplace. We are committed to being inclusive in the way we hire. We strongly encourage you to apply even if you do not meet all of the requirements mentioned in the job posting. 

To recruitment agencies, we do not accept unsolicited branded profiles and are not responsible for any fees related to unsolicited resumes.

Full-time, US-based remote

Our mission is to protect enterprises and government agencies from disinformation attacks by uncovering threatening online trends and neutralizing them.

PeakMetrics is a cybersecurity solution that extracts insights and creates actionable data from millions of unstructured, cross-channel media datasets in real-time. We use ML to spot adversarial online messaging, understand the audiences behind them, present context such as source credibility, and help customers respond.

PeakMetrics has been battle-tested on some of today’s most complex media issues – from responding to crisis management situations to combating state-sponsored disinformation.

As a Data Scientist you will work directly with our product, engineering, and leadership teams to develop data-heavy products. You must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. You must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

The ideal candidate will have mathematical and statistical expertise, along with natural curiosity and a creative mind. While mining, interpreting, and cleaning our data, this person will be relied on to ask questions, connect the dots, and uncover hidden opportunities for realizing the data’s full potential. As part of a team of specialists, the data scientist will “slice and dice” data using various methods and create new visions for the future.

You will report directly to the Vice President of Engineering.

What you will do at PeakMetrics:

• Research and develop algorithms for detection of social media narratives within large volumes of online content. 
• Conduct and establish data quality assessments. 
• Conduct data-driven research into misinformation and provide product data science support.
• Analyze data to drive optimization and improvement of product development.
• Use predictive modeling to increase and optimize customer experiences.
• Develop company A/B testing framework and test model quality.
• Collaborate cross functionally to better understand the end-user and the features needed to solve their problems/pain points in the product.  
• Grow and develop the data science capabilities, processes, and team within PeakMetrics.

• Strong problem solving skills with an emphasis on product development.
• Experience using statistical computer languages  (Python, SQL, etc.) to manipulate data and draw insights from large data sets.
• Experience working with and creating data architectures.
• Experience in NLP, ML and Data Visualization.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Excellent written and verbal communication skills for coordinating across teams.
• A drive to learn and master new technologies and techniques. 

• 5-7 years of experience manipulating data sets and building statistical models.
• Advanced experience in pattern recognition and predictive modeling.
• Experience with marketing.

Benefits

We are looking to build a truly diverse, equitable, and inclusive engineering team. We have a number of outstanding benefits to support that.

We are a fully distributed team. Without a central office, everyone’s on an equal footing wherever you’re based in the United States.  

We offer flexible schedules and unlimited time off. Take vacations to recharge! We’re about long-term growth and success, so that means working sustainably.

We provide outstanding health care and vision coverage for you and your family.

We offer a 401(k) and HSA programs.

We are an equal opportunity employer and are committed to building an organization that empowers and promotes diversity, inclusion, equity and belonging (DEIB). We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status.

System1 is looking for an experienced machine learning practitioner to join our data science and machine learning team as a Principal Machine Learning Scientist supporting the AI Automation & Optimization team.  This is an individual contributor role focused on driving research and development of new cutting-edge machine learning and artificial intelligence algorithms that power automation and optimization capabilities for one of the biggest real-time acquisition marketing platforms in the world - reaching 100s of millions of users every month.

The ideal candidate will have experience designing and building algorithms to automate and optimize planning and decisioning for complex dynamic systems with imperfect information.  You should keep up with the latest academic research and developments in reinforcement learning (e.g. MuZero, AlphaStar, growing-tree counterfactual regret minimization, etc) and stochastic black box optimization and understand how these algorithms can be applied to automate and optimize execution of large-scale advertising campaigns to balance both performance and portfolio risk. 

With billions of data points ingested daily and the ability to impact and automate millions of critical decisions that drive the core of our business, this is a unique opportunity to build new advanced ML and AI capabilities at a company that still innovates at the pace of a startup but has the data and scale of a successful billion dollar company!

The Role You Will Have:

• Provide both hands-on/individual contributor support and technical thought leadership in the development of an automated and intelligent advertising system by advancing the state-of-the-art in machine/reinforcement learning techniques to support large-scale optimization of media/channel mix, ad selection, bidding and overall campaign performance, etc
• Deploy and test promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved ML driven products and capabilities
• Keep abreast of relevant research in online ad auction design, computational advertising, and computational economics
• Maintain expert knowledge in computer science, machine (and deep) learning, data mining, reinforcement learning, large-scale robust optimization techniques and more
• Work with cross-functional teams of engineers, scientists, and analysts, to devise implementation and experimentation strategies
• Actively contribute to the wider internal and external data science and machine learning communities by sharing and publishing research and findings
• Utilize broad and deep knowledge of machine learning to contribute to the development of System1’s roadmap for core machine learning capabilities
• Coach and mentor data scientists to elevate the talent bar across System1 

• Bachelor's degree (Master's or Ph.D preferred) in a highly quantitative field (e.g. Computer Science, Engineering, Physics, Math, Operations Research, etc) or equivalent work experience
• 5+ years of experience researching & developing algorithms for intelligent automation and optimization systems
• Strong machine learning and algorithmic background with a deep understanding of advanced reinforcement learning and deep learning techniques
• Hands-on experience using high performance machine learning libraries and/or deep learning frameworks (e.g. PyTorch, Tensorflow, RAPIDs, etc)
• Hands-on experience building ML driven products
• Experience leading technical research and production grade development efforts
• Fluency with at least one data science/analytics programming language (e.g. Python, R, Julia) 
• Strong functional programming development skills (preferred)
• Ability to effectively communicate technical information to a wide spectrum of cross-functional team members
• Experience mentoring and coaching junior team members

• Competitive salary + bonus + equity
• Generous PTO + 11 company holidays
• Open sick time
• 100% covered Medical, Dental, Vision for employees
• 401k with match
• Health & Dependent Care Flex Spending Account 
• Paid professional development
• Leadership & growth opportunities
• Virtual company and team building events 
• #BI-Hybrid
• #BI-Remote
• #LI-Remote
• #LI-AW1

The US base salary range for this full-time position is $164,500 - $292,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in U.S. role postings reflect the base salary only, and do not include bonus, equity, or benefits.

System1 offers flexible work arrangements for most employees (unless they hold positions which are identified as having to be 100% onsite in Marina del Rey, CA, Bellevue, WA or Guelph, ON Canada). Most System1 full-time employees choose to work in a hybrid environment, splitting their time between working in our offices and working remotely.  System1 allows fully-remote work in the following approved locations: Arizona, Colorado, Georgia, Hawaii, Minnesota, Missouri, New Jersey, New York, North Carolina, Oklahoma, Oregon, Pennsylvania, Tennessee, Texas and Virginia. Prospective U.S. employees who live outside of any of these states will need to establish residency in one of the approved states prior to employment.

System1 is looking for an experienced machine learning practitioner to join our data science and machine learning team as a Senior Machine Learning Scientist supporting the Search & Recommendations team.  This is an individual contributor role focused on driving research and development of new cutting-edge machine learning and artificial intelligence capabilities that power dynamic content decisioning for one of the biggest real-time acquisition marketing platforms in the world - reaching 100s of millions of users every month.

The ideal candidate will have experience researching, developing, and deploying cutting-edge machine learning search, recommendations, and advanced personalization algorithms into production systems. You should keep up with the latest academic research and developments. You should have strong engineering skills and experience with integrating machine learning and engineering in a dynamic production environment.

With billions of data points ingested daily and the ability to impact and automate millions of critical decisions that drive the core of our business, this is a unique opportunity to build new advanced ML and AI capabilities at a company that still innovates at the pace of a startup but has the data and scale of a successful billion dollar company!

The Role You Will Have:

• Hands-on development of highly scalable algorithms based on state-of-the-art machine learning models to build products delivering new recommendations, search, personalization, and dynamic content decisioning capabilities
• Leverage knowledge of software engineering principles to guide development and deployment of production machine learning solutions that can scale to millions of requests per second with millisecond latency
• Research the latest in machine learning for emerging techniques in natural language understanding, semantic search, image recommendations, and optimal ranking
• Actively contribute to the wider internal and external data science and machine learning communities by sharing and publishing research and findings
• Work with cross-functional teams of engineers, scientists, and analysts, to devise implementation and experimentation strategies
• Contribute to the development of System1’s roadmap for core machine learning capabilities

• Bachelor's degree (Master's or PhD preferred) in a highly quantitative field (e.g. Computer Science, Engineering, Physics, Math, Operations Research, etc) or equivalent work experience
• 2+ years of experience researching & developing algorithms for search and/or dynamic content recommendations
• Strong machine learning and algorithmic background with a deep understanding of advanced language models, recommendations and search systems, and advanced deep learning techniques
• Hands-on experience using high performance machine learning libraries and/or deep learning frameworks (e.g. PyTorch, Tensorflow, RAPIDs, etc)
• Hands-on experience building ML driven products
• Experience leading technical research and production grade development efforts/teams
• Fluency with at least one data science/analytics programming language (e.g. Python, R, Julia) 
• Strong software design and implementation skills with a general-purpose programming language (e.g. Rust, Scala, C++/C#, Java, Haskell, etc) 
• Experience building scalable distributed products to implement batch, real-time, and streaming machine learning products
• Strong functional programming development skills (preferred)
• Ability to effectively communicate technical information to a wide spectrum of cross-functional team members

• Competitive salary + bonus + equity
• Generous PTO + 11 company holidays
• Open sick time
• 100% covered Medical, Dental, Vision for employees
• 401k with match
• Health & Dependent Care Flex Spending Account 
• Paid professional development
• Leadership & growth opportunities
• Virtual company and team building events 
• #BI-Hybrid
• #LI-Remote
• #LI-AW1

The U.S. base salary range for this full-time position is $138,000 - $222,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in U.S. role postings reflect the base salary only, and do not include bonus, equity, or benefits.

System1 offers flexible work arrangements for most employees (unless they hold positions which are identified as having to be 100% onsite in Marina del Rey, CA, Bellevue, WA or Guelph, ON Canada). Most System1 full-time employees choose to work in a hybrid environment, splitting their time between working in our offices and working remotely.  System1 allows fully-remote work in the following approved locations: Arizona, Colorado, Georgia, Hawaii, Minnesota, Missouri, New Jersey, New York, North Carolina, Oklahoma, Oregon, Pennsylvania, Tennessee, Texas and Virginia. Prospective U.S. employees who live outside of any of these states will need to establish residency in one of the approved states prior to employment.

Company

Machina Labs, founded in 2019 by aerospace and auto industry veterans, is a smart manufacturing company based in Los Angeles, California. Enabled by advancements in artificial intelligence and robotics, Machina Labs is developing software-defined factories of the future. The mission of the company is to develop modular manufacturing solutions that can be reconfigured to manufacture new products simply by changing the software. The company is currently working to build the first commercial robotic sheet metal forming machine. Machina Labs is funded and backed by major investors in the field of AI and Deep Tech.

Job Description

Machina Labs is looking for motivated, energetic, and enthusiastic Mechanical Design Engineers to join our Engineering team who are working on new robotic systems for sheet metal forming. As a Mechanical Design Engineer, you will be responsible for creating, designing, and improving mechanical systems, components, and products. You will play a key role in the product development process, ensuring that our products meet high quality standards that are reliable, and perform optimally. You will work closely with sales, design, and account managers to design innovative concepts and efficient solutions. You will also be in communication with vendors to ensure that technical aspects are clearly communicated. You have strong knowledge of mechanical systems, machinery, and processes. You are a go-getter, relationship builder, incredibly organized, and loves working in a fast-paced environment.

Responsibilities

• Design and Development: Responsible for designing and developing mechanical systems and components. Work with CAD software to create detailed models, drawings and specifications that can be shared with account managers and vendors. This includes selecting appropriate materials, determining dimensions and tolerances, and ensuring functionality, and safety.
• Documentation and Reporting: Generate technical documentation, reports, and specifications to communicate design details, project progress, and test results. Maintain accurate records of design changes, modifications, and project documentation.
• Cross-Functional Collaboration: Collaborate with project team members and contribute to project planning, set goals, and manage timelines and resources. Foster effective communication.

• Proven experience in mechanical design and development, preferably in a relevant industry
• Proficiency in Solidworks CAD software
• Experience with sheet metal and welded structure design
• Experience with the application and use of GD&T and tolerance analysis
• Experience with machining, milling and turning
• Experience with change management systems like Solidworks PDM and PLM systems
• Experience with prototyping, testing and validation of mechanical systems and components
• Effective communication and teamwork skills, with the ability to collaborate with cross-functional teams
• Detail-oriented with a focus on quality and continuous improvement
• Strong project management skills, with the ability to prioritize tasks and meet deadlines
• Self-motivated, adaptable, and willing to take initiative in a dynamic work environment

• Experience with Robotics
• Experience with electrical systems design, wiring, harnessing and electrical enclosures.
• Experience with FEA simulation using Solidworks Simulation. 

SKIMS is a solutions-oriented brand creating the next-generation of underwear, loungewear, and shapewear.

We set new standards with our game-changing product and are a driving force within pop-culture. We are looking for a Data Analyst to join us in advancing the industry forward. 

The Role

We are looking for a Data Analyst to be a founding member of our Data, Insights, and Loyalty team. In this role you will partner with stakeholders across the company to leverage analytics to drive the business and better serve our customers, primarily with a focus on the SKIMS loyalty program. This role is also critical in building data products and dashboards to empower data-driven decision making across the organization.

Primary Responsibilities

●      Consult with leaders across the business to develop analytic roadmaps with particular emphasis on insights that accelerate growth, primarily with a focus on the SKIMS loyalty program

●      Perform analyses that enable a wide range of stakeholders deepen their quantitative understanding of their business, with a particular emphasis on insights that accelerate growth

●      Develop dashboards and reporting that empower self-service, data-driven decision making

●      Work with our technology partners and data engineers to ensure high-quality, usable data are captured to support reliable business analytics

●      Build scalable methodology and tools to accelerate development of our data and analytics practice

Qualifications

●      3-5 years experience in a business analytics or data science role, preferably working in a direct-to-consumer business

●      Demonstrated ability to independently plan and execute repeatable analyses and recommend actionable strategy

●      Strong communicator who easily bridges the gap between data and business owners

●      Creative thinker, adept at understanding an array of retail analytics use cases that and identifying the data necessary to make them a reality

●      Direct experience with experimentation design and A/B test measurement highly desirable

●      Excellent SQL skills with experience using statistical programming languages (Python, R, etc.) to manipulate data and draw insights from large datasets

●      Experience creating executive-level dashboards using visualization tools like Looker (highly desired), Tableau, or PowerBI

●      Demonstrated success working in a fast-paced, swiftly-changing startup environment

●      BA/BS in Math, Economics, Statistics, Analytics, Data Science, or other quantitative field highly desirable