Location: Perth, Australia
About Intellect
At Intellect, we’re a leading global mental health tech company in 100+ markets worldwide. We partner with employers, insurers, and governments to deliver coaching, counselling, and therapy services across Australia.
We’re expanding our EAP provider network and hiring coaches, counsellors, and psychologists. Whether you’d like to supplement your private practice or take on a full-time career pathway, Intellect offers flexibility to fit your lifestyle.
Why Join Us?
Flexibility in employment models: freelance, contracted, part-time, or full-time — so you can maintain your own private caseload/clients while expanding with Intellect
Competitive compensation & attractive perks
Minimal admin burden — we handle scheduling, billing, client matching
Regular supervision & CPD included
Diverse client base — from local employees to regional/global Fortune 500 companies
Additional opportunities: CISP (Critical Incident Stress Programme), webinars, in-person seminars, clinical leadership
Inclusive and diverse environment — we welcome professionals from all backgrounds and are committed to fostering belonging and representation across our global community
What You’ll Do
Provide 1:1 telehealth and/or onsite coaching, counselling, or therapy-style consultations, offering general advice only (not treatment)
Deliver CISP (Critical Incident Stress Programme) virtually or onsite as needed
Facilitate webinars and in-person seminars (optional)
Support employees with wellbeing, stress, and resilience
Collaborate with Intellect’s internal clinical team to improve EAP programs
Requirements
Counsellors:
Master’s in Counselling, Counselling Psychology, or Social Work
Active membership/registration with one of:
ACA (Australian Counselling Association)
PACFA (Psychotherapy & Counselling Federation of Australia)
1–3 years of supervised counselling experience
Clinical Psychologists:
Master’s in Clinical Psychology from an APAC-accredited program
General registration with AHPRA (Psychology Board of Australia)
Area of Practice Endorsement in Clinical Psychology preferred (or in progress via Registrar Program)
1–3 years of supervised clinical practice
Nice to Haves
Experience working with First Nations / Aboriginal & Torres Strait Islander communities
Background in managerial or leadership support (e.g., coaching managers, HR advisory)
Prior EAP or workplace counselling experience
Additional languages
Flexibility for occasional onsite sessions
Willingness for Police Check and/or Working With Children Check (not mandatory, only if requested by some clients)
Eligibility/willingness to obtain a Medicare provider number (not mandatory, only if required by engagement type)
Let’s Talk
This is more than a job. It’s your chance to:
Work with a global provider network
Broaden your clientele base beyond local users
Grow your career outside of sessions through research, content, and webinars
Access supervision & CE most EAPs don’t provide
If you’re ready to make a meaningful impact and expand your practice with flexibility, we’d love to hear from you. Apply today and join Intellect in transforming workplace mental health across the country and beyond.
Location: Melbourne, Australia
About Intellect
At Intellect, we’re a leading global mental health tech company in 100+ markets worldwide. We partner with employers, insurers, and governments to deliver coaching, counselling, and therapy services across Australia.
We’re expanding our EAP provider network and hiring coaches, counsellors, and psychologists. Whether you’d like to supplement your private practice or take on a full-time career pathway, Intellect offers flexibility to fit your lifestyle.
Why Join Us?
Flexibility in employment models: freelance, contracted, part-time, or full-time — so you can maintain your own private caseload/clients while expanding with Intellect
Competitive compensation & attractive perks
Minimal admin burden — we handle scheduling, billing, client matching
Regular supervision & CPD included
Diverse client base — from local employees to regional/global Fortune 500 companies
Additional opportunities: CISP (Critical Incident Stress Programme), webinars, in-person seminars, clinical leadership
What You’ll Do
Provide 1:1 telehealth and/or onsite coaching, counselling, or therapy-style consultations, offering general advice only (not treatment)
Deliver CISP (Critical Incident Stress Programme) virtually or onsite as needed
Facilitate webinars and in-person seminars (optional)
Support employees with wellbeing, stress, and resilience
Collaborate with Intellect’s internal clinical team to improve EAP programs
Must Haves
1. Coaches
Bachelor’s/Master’s in Psychology, Coaching, Counselling, HR or related field
Certification with a recognised coaching body (e.g., ICF, ACA, PACFA coaching track)
1–3 years of coaching experience in wellbeing, workplace performance, or leadership coaching
2. Counsellors & Clinical Psychologists
Counsellors:
Master’s in Counselling, Counselling Psychology, or Social Work
Active membership/registration with one of:
ACA (Australian Counselling Association)
PACFA (Psychotherapy & Counselling Federation of Australia)
AASW (Australian Association of Social Workers)
1–3 years of supervised counselling experience (internship counts if part of licensure pathway)
Clinical Psychologists:
Master’s in Clinical Psychology from an APAC-accredited program
General registration with AHPRA (Psychology Board of Australia)
Area of Practice Endorsement in Clinical Psychology preferred (or in progress via Registrar Program)
1–3 years of supervised clinical practice (internship counts if accredited/licensure pathway)
Nice to Haves
Experience working with First Nations / Aboriginal & Torres Strait Islander communities
Background in managerial or leadership support (e.g., coaching managers, HR advisory)
Prior EAP or workplace counselling experience
Additional languages
Flexibility for occasional onsite sessions
Willingness for Police Check and/or Working With Children Check (not mandatory, only if requested by some clients)
Eligibility/willingness to obtain a Medicare provider number (not mandatory, only if required by engagement type)
Let’s Talk
This is more than a job. It’s your chance to:
Work with a global provider network
Broaden your clientele base beyond local users
Grow your career outside of sessions through research, content, and webinars
Access supervision & CE most EAPs don’t provide
If you’re ready to make a meaningful impact and expand your practice with flexibility, we’d love to hear from you. Apply today and join Intellect in transforming workplace mental health across the country and beyond.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Team
The Security Engineering team protects Anthropic's AI systems and maintains the trust of our users and society. We define the authentication architecture for our training infrastructure, design the cryptographic foundations that protect model weights and training data, and drive the developer security program that shapes how engineers build and ship software.
The team works across several areas that collaborate closely: identity and secrets management, developer security and supply chain, infrastructure security, and secure frameworks. You will support one of these areas while contributing across others, with your focus shaped by your strengths and the team's priorities.
Responsibilities:
Build and maintain identity and secrets management systems, including credential issuance, rotation, and workload authentication across our multi-cloud environments
Contribute to cluster security controls including RBAC policies, namespace isolation, workload identity, and pod security
Implement and maintain cloud security controls including IAM, network segmentation, VPC architecture, and encryption across our multi-cloud and on-prem environments
Design and implement secure development frameworks and libraries that make secure coding the path of least resistance for our engineering teams, including service to service authentication, serialization libraries, and tool proxies.
Harden CI/CD pipelines against supply chain attacks through isolated build environments, signed attestations, dependency verification, and automated policy enforcement
Identify and remediate security gaps through code review, threat modeling, and hands-on debugging
Contribute to continuous cloud security posture management using infrastructure-as-code scanning, misconfiguration detection, and automated remediation
You may be a good fit if you have:
At least 5 years of software engineering experience implementing and maintaining security-relevant systems in production
Bachelor's degree in Computer Science or equivalent industry experience
Strong programming skills in Python or at least one systems language such as Go or Rust
Experience contributing to cloud security controls
A track record of taking ownership of problems end to end, from identifying the issue to shipping and monitoring the fix
Clear communication skills and the ability to work collaboratively across engineering teams
Low ego and high empathy, with a genuine interest in helping teammates succeed
Passion for AI safety and the role security engineering plays in building trustworthy AI systems
Strong candidates may also have:
Contributions to developer security tooling including SAST, dependency scanning, or secure build infrastructure
Familiarity with Kubernetes security primitives including RBAC, namespaces, network policies, and admission controllers
Experience with cloud security posture management tooling, infrastructure-as-code security scanning, or automated remediation
Experience with network security and isolation techniques including east-west controls, traffic inspection, and cloud network policy
Experience with eBPF for security monitoring and enforcement, or developing kernel security policies
Experience building secrets management or workload authentication systems, including familiarity with protocols such as OAuth 2.0, OIDC, SAML, or SPIFFE/SPIRE
Background building or operating security systems in environments that support research workflows and rapid iteration
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: London
DRW
is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.
DRW
is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
About the Team
The DRW C/FICCO Data Engineering team is essential to developing valuable datasets and scalable data infrastructure critical to our trading operations. We work closely with traders, researchers, and other engineering teams to ensure seamless data flow and accessibility, supporting data-driven decision-making. Our systems are designed to handle large volumes of data, maintain quality and integrity, and provide robust APIs for fast, ergonomic data retrieval.
About the Role
In this role you will:
Collaborate with cross-functional teams to deliver data solutions that support diverse trading activities.
Take full ownership of data products, guiding them from initial concept through to stable production.
Design, build, and maintain systems for both batch processing and real-time streaming of time series datasets, ensuring high data quality and reliability.
Develop APIs and data access methods for fast, intuitive retrieval of historical and live data, working with both new and existing systems.
Provide on-call support as needed.
Qualifications:
A minimum of 2+ years’ experience using at least one of Python, Java, and C++, and can work comfortably in multiple programming languages
A track record of working directly with end customers, scoping and delivering production systems in fast-moving and ambiguous environments
Ability to dive deep into complex problems, develop intuitive understandings, spot risks early, and minimize complexity
Exceptional interpersonal skills - you communicate clearly with stakeholders as well as other engineers, fostering a collaborative, supportive working environment
Experience in the financial markets, especially in delta one, store of value, and/or FICC options trading
Experience with Linux-based, concurrent, high-throughput, low-latency software systems
Experience with pipeline orchestration frameworks (e.g. Airflow, Dagster)
Experience with streaming platforms (e.g. Kafka), data lake platforms (e.g. Delta Lake, Apache Iceberg), and relational databases
Have a Bachelors or advanced degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or equivalent work experience
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at
https://drw.com/privacy-notice
.
California residents, please review the California Privacy Notice for information about certain legal rights at
https://drw.com/california-privacy-notice
.
#LI-BL1
Location: Remote - United States
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From powering personalized recommendations and search to optimizing advertising systems and marketplace dynamics, our ML engineers tackle some of the most interesting and impactful problems in large-scale applied machine learning.
We hire Machine Learning Engineers across both our Consumer and Ads organizations, giving you the opportunity to work on a wide range of high-impact problems across the Reddit ecosystem.
We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, — and who want to help shape the future of discovery, relevance, and monetization at Reddit.
If you love working on complex, real-world ML problems at massive scale, this role is for you.
What You’ll Work On
As a Machine Learning Engineer at Reddit, you will design and build production ML systems that power core experiences across the platform, including:
Personalized recommendations, search, and ranking systems that help users discover the most relevant content and communities
Intelligent advertising systems including ranking, bidding, measurement, and optimization
Content, Advertisers, and User understanding, from building foundational content/user representations to deriving insightful signals
Large-scale machine learning pipelines, model serving infrastructure, and real-time decision systems
Applied AI and LLM-driven experiences that improve relevance, discovery, and user engagement
You’ll work on high-impact systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes.
What You’ll Do
Design, build, and deploy production-grade machine learning models and systems at scale
Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring
Build scalable data and model pipelines with strong reliability, observability, and automated retraining
Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems.
Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions
Improve system performance across latency, throughput, and model quality metrics
Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph & transformers based, and LLM evaluation/alignment
Contribute to technical strategy, architecture, and long-term ML roadmap
Basic Qualifications
3-5+ years of experience building, deploying, and operating machine learning systems in production
Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals
ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs)
Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure
Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions
Experience improving measurable metrics through applied machine learning
Preferred Qualifications
Experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems
Familiarity with distributed systems and large-scale data processing (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.)
Experience working with real-time systems and low-latency production environments
Background in feature engineering, model optimization, and production monitoring
Experience with LLM/Gen AI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale
Advanced degree in Computer Science, Machine Learning, or related quantitative field
Potential Teams
Ads Measurement Modeling
Ads Targeting and Retrieval
Advertiser Optimization
Ads Marketplace Quality
Ads Creative Effectiveness
Ads Foundational Representations
Ads Content Understanding
Ads Ranking
Feed Relevance
Search and Answers Relevance
ML Understanding
Notifications Relevance
Benefits
Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit
https://www.redditinc.com/careers/
.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base salary range for this position is:
$216,700
—
$303,400 USD
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Location: Remote - Ontario, Canada
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From powering personalized recommendations and search to optimizing advertising systems and marketplace dynamics, our ML engineers tackle some of the most interesting and impactful problems in large-scale applied machine learning.
We hire Machine Learning Engineers across both our Consumer and Ads organizations, giving you the opportunity to work on a wide range of high-impact problems across the Reddit ecosystem.
We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, — and who want to help shape the future of discovery, relevance, and monetization at Reddit.
If you love working on complex, real-world ML problems at massive scale, this role is for you.
What You’ll Work On
As a Machine Learning Engineer at Reddit, you will design and build production ML systems that power core experiences across the platform, including:
Personalized recommendations, search, and ranking systems that help users discover the most relevant content and communities
Intelligent advertising systems including ranking, bidding, measurement, and optimization
Content, Advertisers, and User understanding, from building foundational content/user representations to deriving insightful signals
Large-scale machine learning pipelines, model serving infrastructure, and real-time decision systems
Applied AI and LLM-driven experiences that improve relevance, discovery, and user engagement
You’ll work on high-impact systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes.
What You’ll Do
Design, build, and deploy production-grade machine learning models and systems at scale
Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring
Build scalable data and model pipelines with strong reliability, observability, and automated retraining
Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems.
Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions
Improve system performance across latency, throughput, and model quality metrics
Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph & transformers based, and LLM evaluation/alignment
Contribute to technical strategy, architecture, and long-term ML roadmap
Basic Qualifications
3-5+ years of experience building, deploying, and operating machine learning systems in production
Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals
ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs)
Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure
Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions
Experience improving measurable metrics through applied machine learning
Preferred Qualifications
Experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems
Familiarity with distributed systems and large-scale data processing (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.)
Experience working with real-time systems and low-latency production environments
Background in feature engineering, model optimization, and production monitoring
Experience with LLM/Gen AI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale
Advanced degree in Computer Science, Machine Learning, or related quantitative field
Potential Teams
Ads Measurement Modeling
Ads Targeting and Retrieval
Advertiser Optimization
Ads Marketplace Quality
Ads Creative Effectiveness
Ads Foundational Representations
Ads Content Understanding
Ads Ranking
Feed Relevance
Search and Answers Relevance
ML Understanding
Notifications Relevance
Benefits
Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Location: Remote - Ontario, Canada
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From powering personalized recommendations and search to optimizing advertising systems and marketplace dynamics, our ML engineers tackle some of the most interesting and impactful problems in large-scale applied machine learning.
We hire Machine Learning Engineers across both our Consumer and Ads organizations, giving you the opportunity to work on a wide range of high-impact problems across the Reddit ecosystem.
We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, — and who want to help shape the future of discovery, relevance, and monetization at Reddit.
If you love working on complex, real-world ML problems at massive scale, this role is for you.
What You’ll Work On
As a Machine Learning Engineer at Reddit, you will design and build production ML systems that power core experiences across the platform, including:
Personalized recommendations, search, and ranking systems that help users discover the most relevant content and communities
Intelligent advertising systems including ranking, bidding, measurement, and optimization
Content, Advertisers, and User understanding, from building foundational content/user representations to deriving insightful signals
Large-scale machine learning pipelines, model serving infrastructure, and real-time decision systems
Applied AI and LLM-driven experiences that improve relevance, discovery, and user engagement
You’ll work on high-impact systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes.
What You’ll Do
Design, build, and deploy production-grade machine learning models and systems at scale
Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring
Build scalable data and model pipelines with strong reliability, observability, and automated retraining
Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems.
Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions
Improve system performance across latency, throughput, and model quality metrics
Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph & transformers based, and LLM evaluation/alignment
Contribute to technical strategy, architecture, and long-term ML roadmap
Basic Qualifications
3-5+ years of experience building, deploying, and operating machine learning systems in production
Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals
ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs)
Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure
Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions
Experience improving measurable metrics through applied machine learning
Preferred Qualifications
Experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems
Familiarity with distributed systems and large-scale data processing (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.)
Experience working with real-time systems and low-latency production environments
Background in feature engineering, model optimization, and production monitoring
Experience with LLM/Gen AI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale
Advanced degree in Computer Science, Machine Learning, or related quantitative field
Potential Teams
Ads Measurement Modeling
Ads Targeting and Retrieval
Advertiser Optimization
Ads Marketplace Quality
Ads Creative Effectiveness
Ads Foundational Representations
Ads Content Understanding
Ads Ranking
Feed Relevance
Search and Answers Relevance
ML Understanding
Notifications Relevance
Benefits
Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Location: Remote - United States
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From powering personalized recommendations and search to optimizing advertising systems and marketplace dynamics, our ML engineers tackle some of the most interesting and impactful problems in large-scale applied machine learning.
We hire Machine Learning Engineers across both our Consumer and Ads organizations, giving you the opportunity to work on a wide range of high-impact problems across the Reddit ecosystem.
We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, — and who want to help shape the future of discovery, relevance, and monetization at Reddit.
If you love working on complex, real-world ML problems at massive scale, this role is for you.
What You’ll Work On
As a Machine Learning Engineer at Reddit, you will design and build production ML systems that power core experiences across the platform, including:
Personalized recommendations, search, and ranking systems that help users discover the most relevant content and communities
Intelligent advertising systems including ranking, bidding, measurement, and optimization
Content, Advertisers, and User understanding, from building foundational content/user representations to deriving insightful signals
Large-scale machine learning pipelines, model serving infrastructure, and real-time decision systems
Applied AI and LLM-driven experiences that improve relevance, discovery, and user engagement
You’ll work on high-impact systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes.
What You’ll Do
Design, build, and deploy production-grade machine learning models and systems at scale
Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring
Build scalable data and model pipelines with strong reliability, observability, and automated retraining
Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems.
Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions
Improve system performance across latency, throughput, and model quality metrics
Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph & transformers based, and LLM evaluation/alignment
Contribute to technical strategy, architecture, and long-term ML roadmap
Basic Qualifications
3-5+ years of experience building, deploying, and operating machine learning systems in production
Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals
ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs)
Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure
Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions
Experience improving measurable metrics through applied machine learning
Preferred Qualifications
Experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems
Familiarity with distributed systems and large-scale data processing (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.)
Experience working with real-time systems and low-latency production environments
Background in feature engineering, model optimization, and production monitoring
Experience with LLM/Gen AI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale
Advanced degree in Computer Science, Machine Learning, or related quantitative field
Potential Teams
Ads Measurement Modeling
Ads Targeting and Retrieval
Advertiser Optimization
Ads Marketplace Quality
Ads Creative Effectiveness
Ads Foundational Representations
Ads Content Understanding
Ads Ranking
Feed Relevance
Search and Answers Relevance
ML Understanding
Notifications Relevance
Benefits
Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit
https://www.redditinc.com/careers/
.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base salary range for this position is:
$185,800
—
$260,100 USD
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Location: Hong Kong, Hong Kong SAR
OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
About The Opportunity
The trading bot domain has emerged as one of OKX's most critical and rapidly growing sectors over the past two years. It constitutes a significant share of our platform's daily active traders and trading volume. With this swift growth, escalating user demands, and a promising future for this business, we are committed to allocating more resources to this sector. Our aim is to build top-tier products and ultimately grow this line into a billion-dollar enterprise.
What You’ll Be Doing
Develop strategies to boost trading bot volume and user acquisition. Collaborate with cross-functional teams, including design, engineering, and data analysis.
Based on trading users' needs, design trading bots efficient for particular market situations.
Conduct user research and competitor assessments to identify potential opportunities for product innovation and optimization, enhancing user conversion and retention.
Advocate for robust engineering solutions and scalable product/system architecture designs, ensuring efficient new product development.
Manage projects with efficient scope, timeline, and stakeholder coordination, prioritizing quick iterations and impactful outcomes.
What We Look For In You
Bachelor's degree in a relevant field or equivalent practical experience, preferably in Financial Engineering, Mathematics or Engineering.
5+ years of product management experience, particularly within the crypto or internet industry.
Strong grasp of strategy design and backend logic.
Passion for problem-solving and delivering exceptional user experiences.
Self-motivated, independent, persistent, objective, with strong logical thinking, capable of project ownership.
Curious with a strong ability for self-learning, open to exploring innovative projects for driving product growth.
Excellent communication skills, both written and verbal, with the ability to influence and present ideas effectively.
Nice-To-Haves
Experience in Crypto/FX/Stocks trading, including quant trading, bot trading, or technical analysis.
Strong understanding of the industry and market dynamics.
Fluency in Mandarin will be a plus to work with cross tech teams based in Greater China Region.
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong.
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Singapore, Singapore
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
About The Opportunity
The trading bot domain has emerged as one of OKX's most critical and rapidly growing sectors over the past two years. It constitutes a significant share of our platform's daily active traders and trading volume. With this swift growth, escalating user demands, and a promising future for this business, we are committed to allocating more resources to this sector. Our aim is to build top-tier products and ultimately grow this line into a billion-dollar enterprise.
What You’ll Be Doing
Develop strategies to boost trading bot volume and user acquisition. Collaborate with cross-functional teams, including design, engineering, and data analysis.
Based on trading users' needs, design trading bots efficient for particular market situations.
Conduct user research and competitor assessments to identify potential opportunities for product innovation and optimization, enhancing user conversion and retention.
Advocate for robust engineering solutions and scalable product/system architecture designs, ensuring efficient new product development.
Manage projects with efficient scope, timeline, and stakeholder coordination, prioritizing quick iterations and impactful outcomes.
What We Look For In You
Bachelor's degree in a relevant field or equivalent practical experience, preferably in Financial Engineering, Mathematics or Engineering.
5+ years of product management experience, particularly within the crypto or internet industry.
Strong grasp of strategy design and backend logic.
Passion for problem-solving and delivering exceptional user experiences.
Self-motivated, independent, persistent, objective, with strong logical thinking, capable of project ownership.
Curious with a strong ability for self-learning, open to exploring innovative projects for driving product growth.
Excellent communication skills, both written and verbal, with the ability to influence and present ideas effectively.
Nice-To-Haves
Experience in Crypto/FX/Stocks trading, including quant trading, bot trading, or technical analysis.
Strong understanding of the industry and market dynamics.
Fluency in Mandarin will be a plus to work with cross tech teams based in Greater China Region.
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Tunis, Tunisia
Dentons is designed to be different. We are driven to always be the firm of the future, to challenge the status quo, and to provide holistic business solutions to our clients in new and innovative ways. We are the lightbulb moments. The bold ideas. We are the world's largest global law firm, with 12,000+ people across 80+ countries. Driven by the diverse perspectives of our people, our clients, and our communities, we combine local knowledge with global insight.
We are seeking a qualified and experienced
Legal Counsel with expertise in Libyan law
to join our legal team in Tunis, Tunisia. The successful candidate will play a key role in advising on legal matters involving Libyan jurisdictions, supporting cross-border operations, and ensuring regulatory compliance. This role requires deep knowledge of the Libyan legal system, high professional standards, and a strong ability to operate in a multi-jurisdictional and multicultural environment.
Responsibilities
Provide accurate and timely legal advice on matters governed by Libyan law, including civil, commercial, administrative, and labor law.
Draft, review, and negotiate a variety of legal instruments such as contracts, MoUs, joint venture agreements, partnership agreements, and compliance documentation.
Monitor legislative and regulatory developments in Libya, interpret their implications, and advise internal stakeholders accordingly.
Liaise effectively between Tunis-based operations and Libyan clients, authorities, and counterparties, ensuring transparent and culturally appropriate communication.
Support interactions with Libyan ministries, regulatory authorities, licensing bodies, and legal institutions.
Assist in mitigating legal risks, managing disputes, and supporting internal compliance processes aligned with both Libyan and Tunisian regulations.
Contribute to internal training and awareness sessions related to Libyan legal frameworks.
Requirements
Required Experience:
Law degree from a recognized university; postgraduate legal qualifications are an advantage.
Admitted to practice law in Libya, or with demonstrated and verifiable expertise in Libyan legal matters.
Minimum of 3 years' legal experience, ideally including cross-border or in-house advisory work with a focus on Libyan jurisdiction.
Fluency in Arabic and English is essential; French is an asset.
Strong legal drafting, analytical, and negotiation skills.
Excellent communication skills with a culturally sensitive and professional demeanor.
Demonstrated ability to work independently, manage multiple priorities, and meet tight deadlines.
Strong understanding of the legal, political, and economic landscape in Libya.
Key Competencies:
Legal Research & Analysis: Ability to interpret and apply Libyan legislation to complex legal questions.
Contract Law & Negotiation: Skilled in drafting and negotiating commercial and partnership agreements.
Regulatory Compliance: Strong knowledge of compliance requirements within Libyan jurisdiction.
Cross-Border Legal Advisory: Capable of navigating legal systems across Libya and Tunisia.
Stakeholder Engagement: Able to interact credibly with internal stakeholders, clients, and government authorities.
Risk Management: Proactively identify, assess, and manage legal risks in multi-jurisdictional environments.
Communication: High-level verbal and written communication skills in Arabic and English.
Cultural & Political Awareness: Sensitivity to operating in volatile or politically complex environments.
Personal Skills and Attributes:
High level of integrity, professionalism, and confidentiality.
Strong interpersonal skills with the ability to collaborate across geographies and functions.
Detail-oriented with strong analytical and critical thinking skills.
Proactive and self-motivated, capable of working independently with minimal supervision.
Ability to remain resilient under pressure and manage competing priorities.
Demonstrates judgment and discretion in handling sensitive legal matters.
A genuine interest in regional legal developments and international legal practice.
The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of essential functions, responsibilities or requirements.
Benefits
Remuneration and benefits package will reflect the successful candidates experience and competencies.
Location: Tunis, Tunisia
Dentons is designed to be different. We are driven to always be the firm of the future, to challenge the status quo, and to provide holistic business solutions to our clients in new and innovative ways. We are the lightbulb moments. The bold ideas. We are the world's largest global law firm, with 12,000+ people across 80+ countries. Driven by the diverse perspectives of our people, our clients, and our communities, we combine local knowledge with global insight.
As part of its strategic growth, our firm is looking to recruit a highly skilled and business-oriented
Corporate/M&A Lawyer
to join our expanding Corporate/Mergers & Acquisitions department. The ideal candidate will provide high-quality legal services to a demanding client base, including national and multinational corporations, and will play an active role in managing complex corporate transactions and legal structuring projects. This is a career-development role with strong growth prospects for high performers.
Responsibilities
Client Advisory & Portfolio Management
Serve as the primary legal advisor for a portfolio of corporate clients
Provide strategic and operational legal support on day-to-day matters and long-term planning
Corporate Structuring & Entity Formation
Advise on company formation, legal structuring, and corporate governance frameworks
Assist in setting up legal entities and advising on local and cross-border structuring
Transaction Management
Support clients throughout all stages of M&A transactions and corporate projects:
Conduct legal due diligence
Draft and negotiate Letters of Intent (LoIs), MoUs, protocols, and term sheets
Structure partnership agreements, shareholders’ agreements, and investment contracts
Advise on fundraising rounds, exits, and corporate reorganizations
Contractual Work
Draft, review, and negotiate a wide range of commercial and corporate agreements
Ensure contracts are legally sound and aligned with business goals
Legal Research & Opinions
Conduct thorough legal research on corporate, financial, and tax law topics
Draft high-quality legal memoranda, regulatory analyses, and advisory opinions
Requirements
Required Experience:
Minimum 5 years of experience in Corporate/M&A law, preferably in a reputable law firm
Deep expertise in corporate law, with working knowledge of tax, financial, and banking law
Demonstrated experience handling M&A transactions from due diligence to post-closing
Excellent drafting skills in complex legal documents in both Arabic and French/English
Strong analytical skills, ability to summarize legal issues and offer actionable advice
Capacity to manage multiple projects and client demands simultaneously
Full proficiency in Arabic, French, and English – written and spoken
Law degree from a recognized institution; LLM or international training is an advantage
Key Competencies:
Corporate Legal Expertise: Mastery of company law, M&A structuring, and shareholder frameworks
Transactional Skills: Proven ability to manage legal aspects of deals, conduct due diligence, and negotiate critical clauses
Drafting and Negotiation: Advanced skills in drafting and negotiating contracts and corporate documents
Analytical Thinking: Strong legal reasoning, interpretation of laws, and application to practical situations
Client Management: Ability to build and maintain trust-based relationships with high-value clients
Multijurisdictional Awareness: Familiarity with cross-border structures and regulatory regimes
Time and Case Management: Ability to prioritize workload across multiple matters and tight deadlines
Collaboration: Comfortable working in multi-disciplinary teams with other lawyers, finance professionals, and operations
Personal Skills and Attributes:
Detail-oriented with strong organizational and project management capabilities
Proactive and solution-focused with a commercial mindset
High level of professionalism, discretion, and accountability
Culturally aware, with the ability to engage with diverse stakeholders
Resilient under pressure and adaptable to fast-paced environments
Committed to continuous professional development and legal innovation
Strong interpersonal skills – approachable, respectful, and client-focused
The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of essential functions, responsibilities or requirements.
Benefits
Remuneration and benefits package will reflect the successful candidates experience and competencies.
Location: Tunis, Tunisia
Dentons is designed to be different. We are driven to always be the firm of the future, to challenge the status quo, and to provide holistic business solutions to our clients in new and innovative ways. We are the lightbulb moments. The bold ideas. We are the world's largest global law firm, with 12,000+ people across 80+ countries. Driven by the diverse perspectives of our people, our clients, and our communities, we combine local knowledge with global insight.
We are seeking a dynamic and results-oriented Bilingual
Business Developer
to strengthen our firm’s strategic market position and expand our client portfolio. Working under the supervision of the Director of Operations and External Relations and in close coordination with our lawyers, the Business Developer will design and implement business strategies that align with our legal service offerings and market needs. This role is ideal for a professional who thrives in a fast-paced, relationship-driven environment and is fluent in both French and English.
Responsibilities
Client Portfolio Development and Management
Identify new business prospects and convert leads into long-term clients
Build, manage, and retain strong relationships with existing clients
Conduct client follow-ups to ensure satisfaction and identify new needs
Create and manage a client relationship tracking system
Market Analysis and Commercial Strategy
Conduct local and international market research to identify new business opportunities
Analyze trends, competitor positioning, and sector developments
Develop and propose commercial action plans aligned with firm priorities
Work with lawyers to align business strategy with areas of legal expertise
Commercial Presentations and Proposals
Draft and present tailored proposals based on identified client needs
Prepare and deliver persuasive presentations in both French and English, for internal and external audiences
Coordinate input from legal and operations teams to prepare comprehensive client-facing materials
Support proposal development for tenders, RFPs, and panel submissions
Requirements
Required Experience:
Bachelor’s or master’s degree in business, Law, Management, or a related field
Fluent in French and English, with strong written and verbal communication in both languages
2 to 5 years of experience in business development, sales, or client relationship management, preferably in professional services or legal sector
Strong ability to craft compelling business proposals and presentations
Excellent interpersonal, persuasion, and negotiation skills
Proficient in Microsoft Office Suite (Word, Excel, PowerPoint) and CRM systems
Experience working in cross-functional or international teams
Key Competencies:
Business Acumen:
Understands the legal industry and can translate service offerings into client value
Client Centricity:
Focused on building and sustaining long-term relationships with clients
Market Intelligence:
Strong skills in research, trend analysis, and identifying strategic opportunities
Strategic Planning:
Ability to create actionable plans based on data and market knowledge
Communication & Presentation
: Clearly conveys messages, ideas, and proposals to a variety of audiences in both French and English
Sales & Negotiation:
Skilled in persuasive selling, objection handling, and closing deals
Collaboration:
Works effectively with lawyers, operational teams, and leadership to drive business goals
CRM & Data Management:
Ability to manage and leverage client data through CRM tools
Personal Skills and Attributes:
Confident, self-motivated, and autonomous with a proactive mindset
Organized and detail-oriented, with the ability to manage multiple priorities and deadlines
High level of professionalism, diplomacy, and cultural sensitivity
Resilient and adaptable in dynamic or ambiguous environments
Strong sense of initiative, curiosity, and continuous improvement
Able to build trust-based relationships with both internal teams and external stakeholders
The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of essential functions, responsibilities or requirements.
Benefits
Remuneration and benefits package will reflect the successful candidates experience and competencies.
Location: Istanbul, Turkey
P.I. Works is the first company in the world to automate the management of a commercial 5G network.
Our automated network management products and services empower Mobile Operators to accelerate network transformation and to drive network quality and efficiency on the path to 5G. These solutions have been deployed across 84 mobile network operators in 58 countries around the world.
Come and join us to work with the leading telecom operators around the world and redefine the mobile experience worldwide by contributing to our research and development efforts.
What you will have:
· An opportunity to work with some of the brightest minds in the Software & Telecom industry.
· Hands-on opportunities to learn from the best and put your knowledge and skills to work
· A mentor to help you build and develop your potential
· A friendly, open and collaborative environment that thrives on learning and practicing
Job Description:
· Design, Delivery ,and Customization of geolocation product
· Create custom dashboards and automated reports on key business metrics for various use cases
· Analyze QoS and QoE of the mobile operator on map-based user interface
· Participate in technical meetings, monitor products performance, prepare module/feature activation reports, perform acceptance tests and highlight benefits of company products
· Provide L3 support for active customers and feedback to product and development teams
Requirements for the position:
· Pursuing a degree in Telecommunications and Electronics Engineering programs
· Being in his/her final year
· Telecommunication domain know-how and working experience is a plus
· Basic DB and SQL knowledge
· Excellent verbal and written communication skills in English
· Enthusiastic team player, a positive thinker, self-motivated, willing to learn, and customer-centric.
· Passionate about trying new things
· An excellent communicator and team player
· Available at least 3 days a week (at least 2 days in the office)
Apply today and unlock your potential!
Location: Riyadh, Saudi Arabia
Join Müller's Solutions as an AI / Computer Vision Engineer and be part of a dynamic team that is transforming industries through advanced technology. In this role, you will design, develop, and implement computer vision and AI models that address complex challenges and drive innovation in our products and services.
Key Responsibilities:
Develop and deploy state-of-the-art computer vision algorithms for various applications.
Collaborate with product teams to understand requirements and translate them into technical specifications.
Analyze large datasets to extract insights and improve model performance.
Test and validate AI solutions to ensure high accuracy and reliability.
Participate in code reviews and contribute to best practices in software development.
Keep abreast of the latest advancements in AI and computer vision and integrate relevant technologies into existing systems.
Research and present findings on new methodologies and approaches in the field.
Requirements
Qualifications:
Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
Proven experience in AI and computer vision technologies, including deep learning frameworks (e.g., TensorFlow, PyTorch).
Strong programming skills in Python and familiarity with OpenCV.
Experience with data handling, preprocessing, and training machine learning models.
Solid understanding of algorithms and data structures.
Familiarity with cloud computing platforms and tools.
Exceptional problem-solving skills and the ability to work in a collaborative environment.
Strong communication skills to effectively convey complex ideas to both technical and non-technical stakeholders.
Benefits
Why Join Us:
Opportunity to work with a talented and passionate team.
Competitive salary and benefits package.
Exciting projects and innovative work environment.
Location: Bridgeport, CT
Workplace: hybrid
IDT’s Retail division is looking for Brand Ambassadors (“BA”). IDT is a leading communications and financial services company looking for enthusiastic and energetic Brand Ambassadors
Responsibilities:
In this role, you will be responsible for maintaining a close relationship with retailers that sell the company’s retail products.
Responsibilities include ensuring that each retailer/store has the most updated branding, promotions, and training materials.
The Brand Ambassador ensures that the retailer has all new products, assists with filling applications, and manages any type of claims or requests that might come from the retailer’s owners or staff.
Brand Ambassadors may open new direct IDT branded stores and sell to unattended retailers if requested by the Company.
More specifically, responsibilities include, but are not limited to:
Visiting retailers/stores on a daily basis
Maintain the POP material placement for all products and distribute new POP material
Collect key information by doing specific surveys for different products
IDT product sales (Hard Cards, Boss Revolution, POS, Merchant Services, Cash Advance, etc)
Completion of Financial Service Applications (Money Transfer, Bill Payment, etc).
Introduce new products to our retailers
Research information about competitor's offerings and new products
Create reports with the findings of each daily route and analyze data in order to offer recommendations
Educate retailers regarding procedures, selling techniques, and general information about the products or special promotions
Report stores that have low inventory or low balances.
Participate in events and in-store promotions.
Push and find leads for all our retail product lines.
Use our CRM to update and maintain the information and pictures of our retailers.
Requirements:
Proven work experience in a relevant role, including as an account manager
Bilingual professionals with fluency in both English and Spanish are preferred
Must be prepared to go door-to-door visiting customers.
Basic computer skills – comfortable using tablet and Bluetooth equipment
Ability to communicate, present and influence key stakeholders at all levels
Proven ability to multitask while maintaining sharp attention to detail.
Authorized to work for all US employers.
Must have a valid driver's license and a car (IDT offers a mileage and gas reimbursement program).
We offer you:
Hourly rate of $16.35/ hour + the ability to earn commissions.
Mileage and gas reimbursement program.
On-the-job training and a dynamic work environment.
Excellent and competitive benefits package, including medical, dental, and 401(k).
About us: IDT is a Communications and Money Transfer company founded in 1990 and headquartered in Newark, New Jersey. IDT is an industry leader in prepaid communication, money transfer, and payment services, and one of the world's largest international voice carriers. We are listed on the NYSE, employ over 1800 people across 20+ countries, and have over $1.5 billion in revenues. Our flagship brand, Boss Revolution, offers Money Transfer, International Calling, and Mobile Top-Up services, supporting IDT's mission to enable people to stay connected and share resources with family and friends worldwide. Join us!
Location: Boston, Ma 01801
Workplace: hybrid
IDT’s Retail division is looking for Brand Ambassadors (“BA”). IDT is a leading communications and financial services company looking for enthusiastic and energetic Brand Ambassadors
Responsibilities:
In this role, you will be responsible for maintaining a close relationship with retailers that sell the company’s retail products.
Responsibilities include ensuring that each retailer/store has the most updated branding, promotions, and training materials.
The Brand Ambassador ensures that the retailer has all new products, assists with filling applications, and manages any type of claims or requests that might come from the retailer’s owners or staff.
Brand Ambassadors may open new direct IDT branded stores and sell to unattended retailers if requested by the Company.
More specifically, responsibilities include, but are not limited to:
Visiting retailers/stores on a daily basis
Maintain the POP material placement for all products and distribute new POP material
Collect key information by doing specific surveys for different products
IDT product sales (Hard Cards, Boss Revolution, POS, Merchant Services, Cash Advance, etc)
Completion of Financial Service Applications (Money Transfer, Bill Payment, etc).
Introduce new products to our retailers
Research information about competitor's offerings and new products
Create reports with the findings of each daily route and analyze data in order to offer recommendations
Educate retailers regarding procedures, selling techniques, and general information about the products or special promotions
Report stores that have low inventory or low balances.
Participate in events and in-store promotions.
Push and find leads for all our retail product lines.
Use our CRM to update and maintain the information and pictures of our retailers.
Requirements:
Proven work experience in a relevant role, including as an account manager
Bilingual professionals with fluency in both English and Spanish are preferred
Must be prepared to go door-to-door visiting customers.
Basic computer skills – comfortable using tablet and Bluetooth equipment
Ability to communicate, present and influence key stakeholders at all levels
Proven ability to multitask while maintaining sharp attention to detail.
Authorized to work for all US employers.
Must have a valid driver's license and a car (IDT offers a mileage and gas reimbursement program).
We offer you:
Hourly rate of $15.00/ hour + the ability to earn commissions.
Mileage and gas reimbursement program.
On-the-job training and a dynamic work environment.
Excellent and competitive benefits package, including medical, dental, and 401(k).
About us: IDT is a Communications and Money Transfer company founded in 1990 and headquartered in Newark, New Jersey. IDT is an industry leader in prepaid communication, money transfer, and payment services, and one of the world's largest international voice carriers. We are listed on the NYSE, employ over 1800 people across 20+ countries, and have over $1.5 billion in revenues. Our flagship brand, Boss Revolution, offers Money Transfer, International Calling, and Mobile Top-Up services, supporting IDT's mission to enable people to stay connected and share resources with family and friends worldwide. Join us!
Location: Worldwide
We are looking for
Applied AI Engineers
to join one of our teams — AI Tools team, CRM team, and others.
Our AI teams turn everyday business problems into working software. We automate processes across the company and put AI tools directly in the hands of the people who need them — so time goes into decisions, not routine. For example, we build in-app support experiences like Plata's customer-facing support chatbot.
Wherever you land, you'll be building production systems on top of the most capable models available, from customer-facing assistants to back-office automation that quietly saves thousands of hours.
You'll collaborate cross-functionally with backend engineers, product teams, and business owners to deliver automated, scalable solutions that change how the company works day to day.
Challenges that await you:
Building AI-powered products
from the ground up - assistants, chatbots, copilots, and internal automation.
Improving model quality where it matters most - retrieval, prompting, fine-tuning, and choosing the right model for each task
Owning LLM pipelines
end-to-end
— from model selection, retrieval, and prompting strategy to release and monitoring in production.
Investigating and resolving production issues
Building
data loops
that turn real usage into stronger evaluation datasets.
Designing the
evaluation
methodology for our AI systems: what "good" means, how it's measured, and how we know a change is real
Running experiments and
A/B tests
, and drawing conclusions that hold up under scrutiny
Partnering with engineers and business owners to turn a modelling result into a shipped improvement
What makes you a great fit:
Experience in a
Machine Learning
role
Experience with agent frameworks or tool-using LLM systems
Experience
designing evaluations
for LLM systems - representative task sets, automated graders, production signals, and human review
Experience developing and launching AI products or features
from scratch
as an AI/ML/DS engineer
Big-picture thinking to diagnose the right problem and productionise research
You want to turn cutting-edge research and model capabilities into products that work for real users
High autonomy and ownership
English at B1 or above for effective communication with an international team
Your bonus skills:
A bachelor's/ master's degree or PhD in a quantitative discipline
Scientific publications in ML, NLP, or a related field
Medals from olympiads - maths, physics, or programming
Our ways of working:
Innovative Spirit:
A commitment to creativity and groundbreaking solutions
Honest Feedback:
valuing open, transparent communication
Supportive Team:
a strong, collaborative community
Celebrating Achievements:
recognizing our wins together
High-Tech Environment:
a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances
Our benefits:
Relocation support
to one of our hubs — Cyprus, Spain, Georgia or Kazakhstan — with assistance for the employee and their family
Flexible work
from one of our offices or remotely within time zones from GMT-2 to GMT+5
Healthcare
Coverage
Education Budget:
Language lessons, professional training and certifications
Wellness Budget:
Mental health and fitness activity reimbursements
Vacation Policy:
Annual leave and paid sick leave as per applicable policies
УдалённоMelbourne, Australia
seniorSan Francisco, CA | New York City, NY | Seattle, WA
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